Jens Kohlmorgen

发表

Segmentation and identification of drifting dynamical systems

Klaus Pawelzik, Jens Kohlmorgen, Klaus-Robert Müller, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

On optimal segmentation of sequential data

Jens Kohlmorgen, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Analysis of switching dynamics with competing neural networks

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1995 .

Fast change point detection in switching dynamics using a hidden Markov model of prediction experts

Steven Lemm, Klaus Pawelzik, Jens Kohlmorgen, 1999 .

Data Set A is a Pattern Matching Problem

Klaus-Robert Müller, Jens Kohlmorgen, 2004, Neural Processing Letters.

A Generic Interface Specification for Standardized Retrieval and Statistical Evaluation of Spatial and Temporal Data

Jens Kohlmorgen, 2015, KMIS.

A Simple Generative Model for Single-Trial EEG Classification

Benjamin Blankertz, Jens Kohlmorgen, 2002, ICANN.

Analysis of Drifting Dynamics with Neural Network Hidden Markov Models

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1997, NIPS.

CHANGES IN HIGH-DIMENSIONAL

Jens Kohlmorgen, J. Kohlmorgen, 2004 .

Identification of nonstationary dynamics in physiological recordings

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 2000, Biological Cybernetics.

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

Benjamin Blankertz, Jens Kohlmorgen, 2004, Int. J. Bifurc. Chaos.

Segmentation and Identification of Switching Dynamics with Competing Neural Networks

Klaus Pawelzik, Jens Kohlmorgen, Klaus Robert Miiller, 1994 .

A Dynamic HMM for On-line Segmentation of Sequential Data

Steven Lemm, Jens Kohlmorgen, S. Lemm, 2001, NIPS.

Hidden Markov gating for prediction of change points in switching dynamical systems

Klaus-Robert Müller, Steven Lemm, Klaus Pawelzik, 1999, ESANN.

Using support vector machines for time series prediction

Gunnar Rätsch, Bernhard Schölkopf, Jens Kohlmorgen, 1999 .

Analysis of Wake/Sleep EEG with Competing Experts

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1997, ICANN.

Hierarchical Feature Extraction for Compact Representation and Classification of Datasets

Jens Kohlmorgen, Markus Schubert, J. Kohlmorgen, 2007, ICONIP.

Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1996, Neural Computation.

Predicting Time Series with Support Vector Machines

Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, 1997, ICANN.

Analysis of Drifting Dynamics with Competing Predictors

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1996, ICANN.

Analyse schaltender und driftender Dynamik mit neuronalen Netzen

Jens Kohlmorgen, 1998 .

Hidden Markov mixtures of experts with an application to EEG recordings from sleep

Klaus Pawelzik, Jens Kohlmorgen, Klaus-Robert Müller, 1999 .

PREDICTION OF FINANCIAL DATA WITH HIDDEN MARKOV MIXTURES OF EXPERTS

Klaus-Robert Müller, Steven Lemm, Klaus Pawelzik, 2000 .

Prediction of Mixtures

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1996, ICANN.