English Impressum Kontakt Sitemap Suche
Home > Abteilungen > Intelligente Datenanalyse > IDA Publikationen
Im Profil
Abteilungen
Interaktive Systeme
Eingebettete Systeme
Intelligente Datenanalyse
IDA Aktuelle Projekte
IDA Abgeschlossene Projekte
IDA Aktivitäten
IDA Publikationen
Publikationen
Projekte
Presse und Medien
Veranstaltungen
Jobs und Karriere
Fraunhofer Gesellschaft
Fraunhofer IuK-Verbund
Fraunhofer in Berlin


Toward Brain-Computer Interfacing

Autor: 
Jahr: 2007
Details

An introduction to brain computer interfacing

Autor: Andrea Kübler and Klaus-Robert Müller
Jahr: 2007
Details

Brain-Computer Interfacing for Intelligent Systems

Autor: Anton Nijholt and Desnay Tan and Gert Pfurtscheller and Clemens Brunner and Jose Millan and Brendan Allison and Bernhard Grainmann and Florin Popescu and Benjamin Blankertz and Klaus-Robert Müller
Jahr: 2008
Details

Resampling-based confidence regions and multiple tests for a correlated random vector.

Autor: Arlot, Sylvain; Blanchard, Gilles; Roquain, Étienne
Jahr: 2007
Details

A Platform-Independent Open-Source Feedback Framework for BCI Systems

Autor: Bastian Venthur and Benjamin Blankertz
Jahr: 2008
Details

Support Vector Machines and Kernels for Computational Biology

Autor: Ben-Hur, Asa and Ong, Cheng Soon and Sonnenburg, S\\\"oren and Sch\\\"olkopf, Bernhard and R\\\"atsch, Gunnar
Jahr: 2008
Details

The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects

Autor: Benjamin Blankertz and Florian Losch and Matthias Krauledat and Guido Dornhege and Gabriel Curio and Klaus-Robert Müller
Jahr: 2008
Details

The Berlin Brain-Computer Interface: EEG-based communication without subject training

Autor: Benjamin Blankertz and Guido Dornhege and Matthias Krauledat and Klaus-Robert Müller and Volker Kunzmann and Florian Losch and Gabriel Curio
Jahr: 2006
Details

The Berlin Brain-Computer Interface presents the novel mental typewriter Hex-o-Spell

Autor: Benjamin Blankertz and Guido Dornhege and Matthias Krauledat and Michael Schröder and John Williamson and Roderick Murray-Smith and Klaus-Robert Müller
Jahr: 2006
Details

The Berlin Brain-Computer Interface: Machine-Learning based Detection of User Specific Brain States

Autor: Benjamin Blankertz and Guido Dornhege and Matthias Krauledat and Volker Kunzmann and Florian Losch and Gabriel Curio and Klaus-Robert Müller
Jahr: 2007
Details

The non-invasive Berlin Brain-Computer Interface: Fast Acquisition of Effective Performance in Untrained Subjects

Autor: Benjamin Blankertz and Guido Dornhege and MatthiasKrauledat and Klaus-Robert Müller and Gabriel Curio
Jahr: 2007
Details

The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States

Autor: Benjamin Blankertz and Guido Dornhege and Steven Lemm and Matthias Krauledat and Gabriel Curio and Klaus-Robert Müller
Jahr: 2006
Details

The BCI Competition III: Validating Alternative Approachs to Actual BCI Problem

Autor: Benjamin Blankertz and Klaus-Robert Müller and Dean Krusienski and Jonathan R. Wolpaw and Alois Schlögl and Gert Pfurtscheller and Jose del R. Millan and Michael Schröder and Niels Birbaumer
Jahr: 2006
Details

A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface

Autor: Benjamin Blankertz and Matthias Krauledat and Guido Dornhege and John Williamson and Roderick Murray-Smith and Klaus-Robert Müller
Jahr: 2007
Details

The Berlin Brain-Computer Interface

Autor: Benjamin Blankertz and Michael Tangermann and Florin Popescu and Matthias Krauledat and Siamac Fazli and Marton Donaczy and Gabriel Curio and Klaus-Robert Müller
Jahr: 2008
Details

Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing

Autor: Benjamin Blankertz and Motoaki Kawanabe and Ryota Tomioka and Friederike Hohlefeld and Vadim Nikulin and Klaus-Robert Müller
Jahr: 2008
Details

Optimizing Spatial Filters for Robust EEG Single-Trial Analysis

Autor: Benjamin Blankertz and Ryota Tomioka and Steven Lemm and Motoaki Kawanabe and Klaus-Robert M\"uller
Jahr: 2008
Details

In search of non-Gaussian components of a high-dimensional distribution.

Autor: Blanchard, G ; Kawanabe, M. ; Sugiyama, M. ; Spokoiny, V. ; Müller, K.-R.
Jahr: 2006
Details

Non-Gaussian component analysis: a semi-parametric framework for linear dimension reduction

Autor: Blanchard, G ; Kawanabe, M. ; Sugiyama, M. ; Spokoiny, V. ; Müller, K.-R.
Jahr: 2006
Details

Different paradigms for choosing sequential reweighting algorithms

Autor: Blanchard, G.
Jahr: 2004
Details

Un algorithme accéléré d'échantillonnage Bayésien pour le modèle CART.

Autor: Blanchard, G.
Jahr: 2004
Details

Hierarchical testing designs for pattern recognition.

Autor: Blanchard, G. ; Geman, D.
Jahr: 2005
Details

Discussion of V.Koltchinskii\'s 2004 IMS Medallion Lecture paper, \"Local Rademacher complexities and oracle inequalities in risk minimization.\"

Autor: Blanchard, G. ; Massart, P.
Jahr: 2006
Details

Kernel Projection Machine: a new tool for pattern recognition

Autor: Blanchard, G. ; Massart, P. ; Vert, R. ; Zwald. L.
Jahr: 2005
Details

BCI Competition 2003 - Data Set IIa: Spatial Patterns of Self-Controlled Brain Rhythm Modulations

Autor: Blanchard, G.; Blankertz, B.
Jahr: 2004
Details

Statistical Properties of Support Vector Machines

Autor: Blanchard, G.; Bousquet, O.; Massart, P.
Jahr: 2008
Details

On the rate of convergence of regularized Boosting classifiers.

Autor: Blanchard, G.; Lugosi, G.; Vayatis, N.
Jahr: 2003
Details

Oracle bounds and exact algorithm for dyadic classification trees

Autor: Blanchard, G.; Schäfer, C.; Rozenholc, Y.
Jahr: 2004
Details

Statistical Properties of Kernel Principal Component Analysis

Autor: Blanchard, Gilles; Bousquet, Olivier; Zwald, Laurent
Jahr: 2007
Details

Occam's Hammer

Autor: Blanchard, Gilles; Fleuret, François
Jahr: 2007
Details

Classifying Single Trial EEG: Towards Brain Computer Interfacing

Autor: Blankertz, B.; Curio, G.; Müller, K.-R.
Jahr: 2002
Details

Boosting Bit Rates and Error Detection for the Classification of Fast-Paced Motor Commands Based on Single-Trial EEG Analysis

Autor: Blankertz, B.; Dornhege, G.; Schäfer, C.; Krepki, R.; Kohlmorgen, J.; Müller, K.-R.; Kunzmann, V.; Losch, F.; Curio, G.
Jahr: 2003
Details

The BCI Competition 2003: Progress and Perspectives in Detection and Discrimination of EEG Single Trials

Autor: Blankertz, B.; Müller, K.-R.; Curio, G.; Vaughan, T. M.; Schalk, G.; W., Jonathan R.; Schlögl, A.; Neuper, C.; Pfurtscheller, G.; Hinterberger, T.; Schröder, M.; Birbaumer, N.
Jahr: 2004
Details

Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI transmission rates

Autor: Blankertz, B.; Schäfer, C.; Dornhege, G.; Curio, G.
Jahr: 2002
Details

Statistical properties of Kernel Principal Component Analysis

Autor: Bousquet, O.; Zwald, L.; Blanchard, G.
Jahr: 2004
Details

Spectral Properties of the Kernel Matrix and their Relation to Kernel Methods in Machine Learning

Autor: Braun, Mikio L.
Jahr: 2005
Details

Model Selection in Kernel Methods based on a Spectral Analysis of Label Information

Autor: Braun, Mikio L.; Lange, Tilman; Buhmann, Joachim
Jahr: 2006
Details

A method for predicting the success of a BCI training session based on the classification of the CSP filters

Autor: C. Grozea, S. Fazli, G. Nolte, M. Danoczy, G. Nolte
Jahr: 2008
Details

Unsupervised adaptation of the LDA classifier for Brain-Computer Interfaces

Autor: Carmen Vidaurre and Alois Schlögl and Benjamin Blankertz and Motoaki Kawanabe and Klaus-Robert Müller
Jahr: 2008
Details

Binary On-line Classification based on Temporally Integrated Information

Autor: Christin Schäfer and Steven Lemm and Gabriel Curio
Jahr: 2004
Details

Estimating Noise and Dimensionality in BCI Data Sets: Towards BCI Illiteracy Comprehension

Autor: Claudia Sannelli and Mikio Braun and Michael Tangermann and Klaus-Robert Müller
Jahr: 2008
Details

Speeding up classification of multi-channel Brain-Computer Interfaces: Common spatial patterns for slow cortical potentials

Autor: Dornhege, G.; Blankertz, B.; Curio, G.
Jahr: 2003
Details

Combining Features for BCI

Autor: Dornhege, G.; Blankertz, B.; Curio, G.; Müller, K.-R.
Jahr: 2003
Details

Boosting bit rates in non-invasive EEG single-trial classifications by feature combination and multi-class paradigms

Autor: Dornhege, G.; Blankertz, B.; Curio, G.; Müller, K.-R.
Jahr: 2004
Details

Increase information transfer rates in BCI by CSP extension to multi-class

Autor: Dornhege, G.; Blankertz, B.; Curio, G.; Müller, K.-R.
Jahr: 2004
Details

Incorporation of Application Layer Protocol Syntax into Anomaly Detection

Autor: Düssel, Patrick; Gehl, Christian; Laskov, Pavel; Rieck, Konrad
Jahr: 2008
Details

Pattern recognition from one example via chopping

Autor: Fleuret, F. ; Blanchard, G.
Jahr: 2006
Details

OCAS optimized cutting plane algorithm for support vector machines

Autor: Franc Vojtech, Soeren Sonnenburg
Jahr: 2008
Details

Two simple sufficient condiitons for FDR control

Autor: G. Blanchard and E. Roquain
Jahr: 2008
Details

Classification on Proximity Data with LP-Machines

Autor: Graepel, T.; Herbrich, R.; Schölkopf, B.; Smola, A. J.; Bartlett, P. L.; Müller, K.-R.; Obermayer, K.; Williamson, R. C.
Jahr: 1999
Details

Increasing Information Transfer Rates for Brain-Computer Interfacing

Autor: Guido Dornhege
Jahr: 2006
Details

Optimizing spatio-temporal filters for improving Brain-Computer Interfacing

Autor: Guido Dornhege and Benjamin Blankertz and Matthias Krauledat and Florian Losch and Gabriel Curio and Klaus-Robert Müller
Jahr: 2006
Details

Combined optimization of spatial and temporal filters for improving Brain-Computer Interfacing

Autor: Guido Dornhege and Benjamin Blankertz and Matthias Krauledat and Florian Losch and Gabriel Curio and Klaus-Robert Müller
Jahr: 2006
Details

General signal processing and machine learning tools for BCI

Autor: Guido Dornhege and Matthias Krauledat and Klaus-Robert Müller and Benjamin Blankertz
Jahr: 2007
Details

Large Scale Semi Hidden Markov SVMs

Autor: Gunnar Rätsch and Sören Sonnenburg
Jahr: 2006
Details

Learning Interpretable SVMs for Biological Sequence Classification

Autor: Gunnar Rätsch and Sören Sonnenburg and Christin Schäfer
Jahr: 2006
Details

Correspondence Analysis for Visualizing Interplay of Pitch Class, Key, and Composer

Autor: Hendrik Purwins and Thore Graepel and Benjamin Blankertz and Klaus Obermayer
Jahr: 2004
Details

Brain-Computer Communication with Slow Cortical Potentials: Methodology and Critical Aspects

Autor: Hinterberger, T.; Schmidt, S.; Neumann, N.; Mellinger, J.; Blankertz, B.; Curio, G.; Birbaumer, N.
Jahr: 2004
Details

Measuring and Detecting Fast-Flux Service Networks

Autor: Holz, Thorsten; Gorecki, Christian; Rieck, Konrad; Freiling, Felix
Jahr: 2008
Details

New algorithms for blind separation when sources have spatial variance-dependencies

Autor: Kawanabe, M.
Jahr: 2004
Details

Linear dimension reduction based on the fourth-order cumulant tensor

Autor: Kawanabe, M.
Jahr: 2005
Details

A novel dimension reduction procedure for searching non-Gaussian subspaces

Autor: Kawanabe, M.; Blanchard, G.; Sugiyama, M.; Spokoiny, V.; Müller, K.-R.
Jahr: 2006
Details

Estimating functions for blind separation when sources have variance dependencies

Autor: Kawanabe, M.; Müller, K.-R.
Jahr: 2005
Details

Estimating functions for blind separation when sources have variance dependencies

Autor: Kawanabe, M.; Müller, K.-R.
Jahr: 2004
Details

A new algorithm of non-Gaussian component analysis with radial kernel functions

Autor: Kawanabe, M.; Sugiyama, M.; Blanchard, G.; Müller, K.-R.
Jahr: 2007
Details

Estimating non-Gaussian subspaces by characteristic functions

Autor: Kawanabe, M.; Theis, F.J.
Jahr: 2006
Details

Joint low-rank approximation for extracting non-Gaussian subspaces

Autor: Kawanabe, M.; Theis, F.J.
Jahr: 2007
Details

Toward Non-Invasive Brain-Computer Interfaces

Autor: Klaus-Robert Müller and Benjamin Blankertz
Jahr: 2006
Details

Machine learning techniques for Brain-Computer Interfaces

Autor: Klaus-Robert Müller and Matthias Krauledat and Guido Dornhege and Gabriel Curio and Benjamin Blankertz
Jahr: 2004
Details

Machine Learning and Applications for Brain-Computer Interfacing

Autor: Klaus-Robert Müller and Matthias Krauledat and Guido Dornhege and Gabriel Curio and Benjamin Blankertz
Jahr: 2007
Details

A note on the Berlin Brain-Computer Interface

Autor: Klaus-Robert Müller and Matthias Krauledat and Guido Dornhege and Stefan Jähnichen and Gabriel Curio and Benjamin Blankertz
Jahr: 2006
Details

Machine learning for real-time single-trial EEG-analysis: From brain-computer interfacing to mental state monitoring

Autor: Klaus-Robert Müller and Michael Tangermann and Guido Dornhege and Matthias Krauledat and Gabriel Curio and Benjamin Blankertz
Jahr: 2008
Details

Automatic Feature Selection for Anomaly Detection

Autor: Kloft, Marious; Brefeld, Ulf; Düssel, Patrick; Gehl, Christian; Laskov, Pavel
Jahr: 2008
Details

On Optimal Segmentation of Sequential Data

Autor: Kohlmorgen, J.
Jahr: 2003
Details

Tracking and Visualization of Changes in High-Dimensional Non-Parametric Distributions

Autor: Kohlmorgen, J.
Jahr: 2004
Details

A Simple Generative Model for Single-Trial EEG Classification

Autor: Kohlmorgen, J.; Blankertz, B.
Jahr: 2002
Details

Bayesian Classification of Single-Trial Event-Related Potentials in EEG

Autor: Kohlmorgen, J.; Blankertz, B.
Jahr: 2004
Details

Improving Human Performance in a Real Operating Environment through Real-Time Mental Workload Detection

Autor: Kohlmorgen, J.; Dornhege, G.; Braun, M.; Blankertz, B.; Müller, K.; Curio, G.; Hagemann, K.; Bruns, A.; Schrauf, M.; Kincses, W.
Jahr: 2007
Details

An On-line Method for Segmentation and Identification of Non-stationary Time Series

Autor: Kohlmorgen, J.; Lemm, S.
Jahr: 2001
Details

A Dynamic HMM for On-line Segmentation of Sequential Data

Autor: Kohlmorgen, J.; Lemm, S.
Jahr: 2002
Details

Fast Change Point Detection in Switching Dynamics using a Hidden Markov Model of Prediction Experts

Autor: Kohlmorgen, J.; Lemm, S.; Müller, K.-R.; Liehr, S.; Pawelzik, K.
Jahr: 1999
Details

Analysis of Nonstationary Time Series by Mixtures of Self-Organizing Predictors

Autor: Kohlmorgen, J.; Lemm, S.; Rätsch, Gunnar; Müller, K.-R.
Jahr: 2000
Details

Data Set A is a Pattern Matching Problem

Autor: Kohlmorgen, J.; Müller, K.-R.
Jahr: 1998
Details

Competing Predictors Segment and Identify Switching Dynamics

Autor: Kohlmorgen, J.; Müller, K.-R.; Pawelzik, K.
Jahr: 1994
Details

Improving Short-Term Prediction with Competing Experts

Autor: Kohlmorgen, J.; Müller, K.-R.; Pawelzik, K.
Jahr: 1995
Details

Analysis of Drifting Dynamics with Competing Predictors

Autor: Kohlmorgen, J.; Müller, K.-R.; Pawelzik, K.
Jahr: 1996
Details

Segmentation and Identification of Drifting Dynamical Systems

Autor: Kohlmorgen, J.; Müller, K.-R.; Pawelzik, K.
Jahr: 1997
Details

Identification of Nonstationary Dynamics in Physiological Recordings

Autor: Kohlmorgen, J.; Müller, K.-R.; Rittweger, J.; Pawelzik, K.
Jahr: 2000
Details

Analysis of Wake/Sleep EEG with Competing Experts

Autor: Kohlmorgen, J.; Müller, K.-R.; Rittweger, J.; Pawelzik, K.
Jahr: 1997
Details

Analysis of Drifting Dynamics with Neural Network Hidden Markov Models

Autor: Kohlmorgen, Jens; Müller, Klaus-Robert; Pawelzik, Klaus
Jahr: 1998
Details

The Berlin Brain-Computer Interface For Rapid Response

Autor: Krauledat, M.; Dornhege, G.; Blankertz, B.; Curio, G.; Müller, K.-R.
Jahr: 2004
Details

Improving Speed And Accuracy Of Brain-Computer Interfaces Using Readiness Potential Features

Autor: Krauledat, M.; Dornhege, G.; Blankertz, B.; Losch, F.; Curio, G.; Müller, K.-R.
Jahr: 2004
Details

Towards Zero Training for Brain-Computer Interfacing

Autor: Krauledat, Matthias AND Tangermann, Michael AND Blankertz, Benjamin AND Müller, Klaus-Robert
Jahr: 2008
Details

The Berlin Brain-Computer Interface (BBCI): towards a new communication channel for online control of multimedia applications and computer games

Autor: Krepki, R.; Blankertz, B.; Curio, G.; Müller, K.-R.
Jahr: 2003
Details

The Berlin Brain-Computer Interface (BBCI): towards a new communication channel for online control in gaming applications

Autor: Krepki, R.; Blankertz, B.; Curio, G.; Müller, K.-R.
Jahr: 2004
Details

An Architecture for Inline Anomaly Detection

Autor: Krueger, Tammo; Gehl, Christian; Rieck, Konrad; Laskov, Pavel
Jahr: 2008
Details

Learning intrusion detection: supervised or unsupervised?

Autor: Laskov, Pavel; Düssel, Patrick; Schäfer, Christin; Rieck, Konrad
Jahr: 2005
Details

Visualization of anomaly detection using prediction sensitivity

Autor: Laskov, Pavel; Rieck, Konrad; Schäfer; Christin; Müller, Klaus-Robert
Jahr: 2005
Details

Probabilistic modeling of sensorimotor mu-rhythms for classification of imaginary hand movements

Autor: Lemm, S.; Schäfer, C.; Curio, G.
Jahr: 2004
Details

Single Trial Analyses of Electroencephalography Data

Autor: Lemm, Steven
Jahr: 2007
Details

Aggregating classification accuracy across time: Application to single trial EEG

Autor: Lemm, Steven and Schäfer, Christin and Curio, Gabriel
Jahr: 2007
Details

Importance-Weighted Cross-Validation for Covariate Shift

Autor: Masashi Sugiyama and Benjamin Blankertz and Matthias Krauledat and Guido Dornhege and Klaus-Robert Müller
Jahr: 2006
Details

Covariate Shift Adaptation by Importance Weighted Cross Validation

Autor: Masashi Sugiyama and Matthias Krauledat and Klaus-Robert Müller
Jahr: 2007
Details

On-line differentiation of neuroelectric activities: algorithms and applications

Autor: Matthias Krauledat and Benjamin Blankertz and Guido Dornhege and Michael Schröder and Gabriel Curio and Klaus-Robert Müller
Jahr: 2006
Details

Robustifying EEG data analysis by removing outliers

Autor: Matthias Krauledat and Guido Dornhege and Benjamin Blankertz and Klaus-Robert Müller
Jahr: 2007
Details

Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach

Autor: Matthias Krauledat and Michael Schröder and Benjamin Blankertz and Klaus-Robert Müller
Jahr: 2007
Details

Adaptation in CSP-based BCI systems

Autor: Matthias Krauledat and Pradeep Shenoy and Benjamin Blankertz and Rajesh P.N. Rao and Klaus-Robert Müller
Jahr: 2007
Details

Resampling Techniken für ICA und ihre Anwendungen in der biomedizinischen Datenanalyse

Autor: Meinecke, F.
Jahr: 2003
Details

Robust ICA for Super-Gaussian Sources

Autor: Meinecke, F.; Harmeling, S.; Müller, K.-R.
Jahr: 2004
Details

Assessing reliability of ICA projections - a resampling approach

Autor: Meinecke, F.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.
Jahr: 2001
Details

Estimating the Reliability of ICA Projections

Autor: Meinecke, F.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.
Jahr: 2002
Details

A Resampling Approach to Estimate the Stability of one- or multidimensional Independent Components

Autor: Meinecke, F.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.
Jahr: 2002
Details

A mathematical programming approach to the Kernel Fisher algorithm

Autor: Mika, S.; Rätsch, G.; Müller, K.-R.
Jahr: 2001
Details

Fisher Discriminant Analysis with Kernels

Autor: Mika, S.; Rätsch, G.; Weston, J.; Schölkopf, B.; Müller, K.-R.
Jahr: 1999
Details

Invariant Feature Extraction and Classification in Kernel Spaces

Autor: Mika, S.; Rätsch, G.; Weston, J.; Schölkopf, B.; Smola, A. J.; Müller, K.-R.
Jahr: 2000
Details

Learning Discriminative and Invariant Nonlinear Features

Autor: Mika, S.; Rätsch, G.; Weston, J.; Schölkopf, B.; Smola, A. J.; Müller, K.-R.
Jahr: 2000
Details

Constructing Descriptive and Discriminative Non-Linear Features: Rayleigh Coefficients in Kernel Feature Spaces

Autor: Mika, S.; Rätsch, G.; Weston, J.; Schölkopf, B.; Smola, A. J.; Müller, K.-R.
Jahr: 2003
Details

Kernel PCA and De-Noising in Feature Spaces

Autor: Mika, S.; Schölkopf, B.; Smola, A. J.; Müller, K.-R.; Scholz, M.; Rätsch, G.
Jahr: 1999
Details

A Bayesian Approach for Adaptive BCI Classification

Autor: Motoaki Kawanabe and Matthias Krauledat and Benjamin Blankertz
Jahr: 2006
Details

On-line learning in changing environments with applications in supervised and unsupervised learning

Autor: Murata, N.; Kawanabe, M.; Ziehe, A.; Müller, K.-R.; Amari, S.-I.
Jahr: 2002
Details

Linear and Non-Linear Methods for Brain-Computer Interfaces

Autor: Müller, K.-R.; Anderson, C. W.; Birch, G. E.
Jahr: 2003
Details

Segmentation and Identification of Switching Dynamics with Competing Neural Networks

Autor: Müller, K.-R.; Kohlmorgen, J.; Pawelzik, K.
Jahr: 1994
Details

The Use of Competing Neural Networks for Segmentation and Identification of Switching Dynamics

Autor: Müller, K.-R.; Kohlmorgen, J.; Pawelzik, K.
Jahr: 1994
Details

Analysis of Switching Dynamics with Competing Neural Networks

Autor: Müller, K.-R.; Kohlmorgen, J.; Pawelzik, K.
Jahr: 1995
Details

Analysing Physiological Data from the Wake-Sleep State Transition with Competing Predictors

Autor: Müller, K.-R.; Kohlmorgen, J.; Rittweger, J.; Pawelzik, K.
Jahr: 1995
Details

Decomposition Algorithms for Analysing Brain Signals

Autor: Müller, K.-R.; Kohlmorgen, J.; Ziehe, A.; Blankertz, B.
Jahr: 2000
Details

An Introduction to Kernel-based Learning Algorithms

Autor: Müller, K.-R.; Mika, S.; Rätsch, G.; Tsuda, K.; Schölkopf, B.
Jahr: 2001
Details

JADE_TD: Combining higher-order statistics and temporal information for blind source separation (with noise)

Autor: Müller, K.-R.; Philips, P.; Ziehe, A.
Jahr: 1999
Details

Predicting Time Series with Support Vector Machines

Autor: Müller, K.-R.; Smola, A. J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V. N.
Jahr: 1997
Details

Using Support Vector Machines for Time Series Prediction

Autor: Müller, K.-R.; Smola, A. J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V. N.
Jahr: 1998
Details

Blind Source Separation Techniques For Decomposing Event-Related Brain Signals

Autor: Müller, K.-R.; Vigario, R.; Meinecke, F.; Ziehe, A.
Jahr: 2004
Details

Classifying 'Drug-likeness' with Kernel-Based Learning Methods

Autor: Müller, Klaus-Robert; Rätsch, Gunnar; Sonnenburg, Sören; Mika, Sebastian; Grimm, Michael; Heinrich, Nikolaus
Jahr: 2005
Details

Heterogeneous component analysis

Autor: Oba, S.; Kawanabe, M.; Müller, K.-R.; Ishii, S.
Jahr: 2008
Details

Incremental Support Vector Learning: Analysis, Implementation and Applications

Autor: Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller
Jahr: 2006
Details

Towards Adaptive Classification for BCI

Autor: Pradeep Shenoy and Matthias Krauledat and Benjamin Blankertz and Rajesh P.N. Rao and Klaus-Robert Müller
Jahr: 2006
Details

Scale Degree Profiles from Audio Investigated with Machine Learning Techniques

Autor: Purwins, H.; Blankertz, B.; Dornhege, G.; Obermayer, K.
Jahr: 2004
Details

Computing Auditory Perception

Autor: Purwins, H.; Blankertz, B.; Obermayer, K.
Jahr: 2000
Details

Modelle der Musikwahrnehmung zwischen auditorischer Neurophysiologie und Psychoakustik

Autor: Purwins, H.; Blankertz, B.; Obermayer, K.
Jahr: 2000
Details

Approximate Kernels for Trees

Autor: Rieck, Konrad; Brefeld, Ulf; Krueger, Tammo
Jahr: 2008
Details

Learning and Classification of Malware Behavior

Autor: Rieck, Konrad; Holz, Thorsten; Düssel, Patrick; Willems, Carsten; Laskov, Pavel
Jahr: 2008
Details

Detecting Unknown Network Attacks using Language Models

Autor: Rieck, Konrad; Laskov, Pavel
Jahr: 2006
Details

Language Models for Detection of Unknown Attacks in Network Traffic

Autor: Rieck, Konrad; Laskov, Pavel
Jahr: 2007
Details

Linear-Time Computation of Similarity Measures for Sequential Data

Autor: Rieck, Konrad; Laskov, Pavel
Jahr: 2008
Details

Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels

Autor: Rieck, Konrad; Laskov, Pavel; Müller, Klaus-Robert
Jahr: 2006
Details

Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees

Autor: Rieck, Konrad; Laskov, Pavel; Sonnenburg, Sören
Jahr: 2007
Details

A Self-Learning System for Detection of Anomalous SIP Messages

Autor: Rieck, Konrad; Wahl, Stefan; Laskov, Pavel; Domschitz, Peter; Müller, Klaus-Robert
Jahr: 2008
Details

The Berlin Brain-Computer Interface towards a new communication channel for online control gaming applications

Autor: Roman Krepki and Benjamin Blankertz and Gabriel Curio and Klaus-Robert Müller
Jahr: 2007
Details

Berlin Brain-Computer Interface - the HCI Communication Channel for Discovery

Autor: Roman Krepki and Gabriel Curio and Benjamin Blankertz and Klaus-Robert Müller
Jahr: 2006
Details

Berlin Brain-Computer Interface - the HCI Communication Channel for Discovery

Autor: Roman Krepki and Gabriel Curio and Benjamin Blankertz and Klaus-Robert Müller
Jahr: 2007
Details

Optimizing Spectral Filter for Single Trial EEG Classification

Autor: Ryota Tomioka and Guido Dornhege and Guido Nolte and Kazuyuki Aihara and Klaus-Robert Müller
Jahr: 2006
Details

An Interative Algorithm for Spatio-Temporal Filter Optimization

Autor: Ryota Tomioka and Guido Dornhege and Kazuyuki Aihara and Klaus-Robert Müller
Jahr: 2006
Details

An Iterative Algorithm for Spatio-Temporal Filter Optimization

Autor: Ryota Tomioka and Guido Dornhege and Kazuyuki Aihara and Klaus-Robert Müller
Jahr: 2006
Details

Adapting Spatial Filtering Methods for Nonstationary BCIs

Autor: Ryota Tomioka and Jeremy Hill and Benjamin Blankertz and Kazuyuki Aihara
Jahr: 2006
Details

Logistic Regression for Single Trial EEG Classification

Autor: Ryota Tomioka and Kazuyuki Aihara and Klaus-Robert Müller
Jahr: 2007
Details

Accurate Splice Site Prediction for Caenorhabditis Elegans

Autor: Rätsch, Gunnar; Sonnenburg, Sören
Jahr: 2004
Details

RASE: Recognition of Alternatively Spliced Exons in C. elegans

Autor: Rätsch, Gunnar; Sonnenburg, Sören; Schölkopf, Bernhard
Jahr: 2005
Details

A Data Analysis Competition to Evaluate Machine Learning Algorithms for use in Brain-Computer Interfaces

Autor: Sajda, P.; Gerson, A.; Müller, K.-R.; Blankertz, B.; Parra, L.
Jahr: 2003
Details

Hierarchical Feature Extraction for Compact Representation and Classification of Datasets

Autor: Schubert, M.; Kohlmorgen, J.
Jahr: 2008
Details

Now you feel it - now you don't: ERP correlates of somatosensory awareness

Autor: Schubert, Ruth and Blankenburg, Felix and Lemm, Steven and Villringer, Arno and Curio, Gabriel
Jahr: 2006
Details

A probabilistic approach to classifying metabolic stability

Autor: Schwaighofer, Anton and Schroeter, Timon and Mika, Sebastian and Hansen, Katja and Ter Laak, A. and Lienau, P. and Reichel, A. and Heinrich, N. and Müller, Klaus-Robert
Jahr: 2008
Details

Learning Gaussian Process Kernels via Hierarchical Bayes

Autor: Schwaighofer, Anton and Tresp, Volker and Yu, Kai
Jahr: 2005
Details

Hidden Markov Model for Genome Analysis

Autor: Sonnenburg, Sören
Jahr: 2001
Details

New Methods for Splice Site Recognition

Autor: Sonnenburg, Sören
Jahr: 2002
Details

New Methods for Splice-Site Recognition

Autor: Sonnenburg, Sören; Rätsch, Gunnar; Jagota, A.; Müller, Klaus-Robert
Jahr: 2002
Details

Large Scale Learning with String Kernels

Autor: Sonnenburg, Sören; Rätsch, Gunnar; Rieck, Konrad
Jahr: 2007
Details

Learning Interpretable SVMs for Biological Sequence Classification

Autor: Sonnenburg, Sören; Rätsch, Gunnar; Schäfer, Christin
Jahr: 2005
Details

Large Scale Genomic Sequence SVM Classifiers

Autor: Sonnenburg, Sören; Rätsch, Gunnar; Schölkopf, Bernhard
Jahr: 2005
Details

Spatio-Spectral Filters for Improving the Classification of Single Trial EEG

Autor: Steven Lemm and Benjamin Blankertz and Gabriel Curio and Klaus-Robert Müller
Jahr: 2005
Details

Enhancing the Signal to Noise Ratio of ICA-based Extracted ERPs

Autor: Steven Lemm and Gabriel Curio and Yevhen Hlushchuk and Klaus-Robert Müller
Jahr: 2006
Details

Trading variance reduction with unbiasedness: The regularized subspace information criterion for robust model selection in kernel regression

Autor: Sugiyama, M.; Kawanabe, M.; Müller, K.-R.
Jahr: 2004
Details

Regularized generalization error estimators: A novel approach to robust model selection

Autor: Sugiyama, M.; Kawanabe, M.; Müller, K.-R.
Jahr: 2004
Details

Obtaining the best linear unbiased estimator of noisy signals by non-Gaussian component analysis

Autor: Sugiyama, M; Kawanabe, M.; Blanchard, G.; Spokoiny, V.; Müller, K.-R.
Jahr: 2006
Details

POIMs: Positional Oligomer Importance Matrices --- Understanding Support Vector Machine Based Signal Detectors

Autor: S\"oren Sonnenburg and Alexander Zien and Petra Philips and Gunnar R\"atsch
Jahr: 2008
Details

ARTS: Accurate Recognition of Transcription Starts in Human

Autor: Sören Sonnenburg and Alexander Zien and Gunnar Rätsch
Jahr: 2006
Details

A General and Efficient Multiple Kernel Learning Algorithm

Autor: Sören Sonnenburg and Gunnar Rätsch and Christin Schäfer
Jahr: 2006
Details

Large Scale Multiple Kernel Learning

Autor: Sören Sonnenburg and Gunnar Rätsch and Christin Schäfer and Bernhard Schölkopf
Jahr: 2006
Details

Online SVM learning: from classification to data description and back

Autor: Tax, David; Laskov, Pavel
Jahr: 2003
Details

Uniqueness of non-Gaussian subspace analysis

Autor: Theis, F.J.; Kawanabe, M.
Jahr: 2006
Details

Colored subspace analysis

Autor: Theis, F.J.; Kawanabe, M.
Jahr: 2007
Details

Asymptotic properties of the Fisher kernel

Autor: Tsuda, K.; Akaho, S.; Kawanabe, M.; Müller, K.-R.
Jahr: 2004
Details

The leave-one-out kernel

Autor: Tsuda, K.; Kawanabe, M.
Jahr: 2002
Details

Clustering with the fisher score

Autor: Tsuda, K.; Kawanabe, M.; Müller, K.-R.
Jahr: 2003
Details

A New Discriminative Kernel from Probabilistic Models

Autor: Tsuda, Koji; Kawanabe, Motoaki; Rätsch, Gunnar; Sonnenburg, Sören; Müller, Klaus-Robert
Jahr: 2002
Details

A New Discriminative Kernel from Probabilistic Models

Autor: Tsuda, Koji; Kawanabe, Motoaki; Rätsch, Gunnar; Sonnenburg, Sören; Müller, Klaus-Robert
Jahr: 2002
Details

Stopping Conditions for Exact Computation of Leave-One-Out Error in Support Vector Machines

Autor: Vojtech Franc, Pavel Laskov, Klaus-Robert Mueller
Jahr: 2008
Details

Using classification to determine the number of finger strokes on a multi-touch tactile device

Autor: von Wrede, Caspar; Laskov, Pavel
Jahr: 2004
Details

Is the locus of control of reinforcement a predictor of Brain-Computer Interface performance?

Autor: Wenke Burde and Benjamin Blankertz
Jahr: 2006
Details

Approximate joint diagonalization using a natural-gradient approach

Autor: Yeredor, A.; Ziehe, A.; Müller, K.-R.
Jahr: 2004
Details

Learning Gaussian Processes from Multiple Tasks

Autor: Yu, Kai; Tresp, Volker; Schwaighofer, Anton
Jahr: 2005
Details

Separation of post-nonlinear mixtures using ACE and temporal decorrelation

Autor: Ziehe, A.; Kawanabe, M.; Harmeling, S.; Müller, K.-R.
Jahr: 2001
Details

Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation

Autor: Ziehe, A.; Kawanabe, M.; Harmeling, S.; Müller, K.-R.
Jahr: 2003
Details

Blind Separation of Post-Nonlinear Mixtures using Gaussianizing Transformations and Temporal Decorrelation

Autor: Ziehe, A.; Kawanabe, M.; Harmeling, S.; Müller, K.-R.
Jahr: 2003
Details

A Linear Least-Squares Algorithm for Joint Diagonalization

Autor: Ziehe, A.; Laskov, P.; Müller, K.-R.; Nolte, G.
Jahr: 2003
Details

A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation

Autor: Ziehe, A.; Laskov, P.; Nolte, G.; Müller, K.-R.
Jahr: 2004
Details

TDSEP - an efficient algorithm for blind separation using time structure

Autor: Ziehe, A.; Müller, K.-R.
Jahr: 1998
Details

Artifact removal in magneto-neurographic recordings with ICA using temporal information

Autor: Ziehe, A.; Müller, K.-R.; Nolte, G.; Mackert, B.-M.; Curio, G.
Jahr: 1999
Details

Artifact reduction in magnetoneurography based on time-delayed second-order correlations

Autor: Ziehe, A.; Müller, K.-R.; Nolte, G.; Mackert, B.-M.; Curio, G.
Jahr: 2000
Details

Artifact Reduction in Magnetoneurography Based on Time-Delayed Second Order Correlations

Autor: Ziehe, A.; Müller, K.-R.; Nolte, G.; Mackert, B.-M.; Curio, G.
Jahr: 1998
Details

On the convergence of eigenspaces in kernel principal components analysis

Autor: Zwald, L. ; Blanchard, G.
Jahr: 2006
Details


Bibtex-Export
Drucken
© 2010 Fraunhofer FIRST