Concept

Learning classifier system

Related publications (274)

Ensembles for sequence learning

This thesis explores the application of ensemble methods to sequential learning tasks. The focus is on the development and the critical examination of new methods or novel applications of existing methods, with emphasis on supervised and reinforcement lear ...

EPFL2007

Adaptive Sleep/Wake Classification Based on Cardiorespiratory Signals for Wearable Devices

Dario Floreano, Claudio Mattiussi, Walter Karlen

We describe a method to classify online sleep/wake states of humans based on cardiorespiratory signals for wearable applications. The method is designed to be embedded in a portable microcontroller device and to cope with the resulting tight power and weig ...

IEEE Press2007

Unsupervised Speech/Non-speech Detection for Automatic Speech Recognition in Meeting Rooms

Daniel Gatica-Perez, Petr Motlicek

The goal of this work is to provide robust and accurate speech detection for automatic speech recognition (ASR) in meeting room settings. The solution is based on computing long-term modulation spectrum, and examining specific frequency range for dominant ...

2007

A Cognitive and Unsupervised MAP Adaptation Approach to the Recognition of the Focus of Attention from Head Pose

Jean-Marc Odobez, Silèye Oumar Ba

In this paper, the recognition of the visual focus of attention (VFOA) of meeting participants (as defined by their eye gaze direction) from their head pose is addressed. To this end, the head pose observations are modeled using an Hidden Markov Model (HMM ...

2007

A Cognitive and Unsupervised MAP Adaptation Approach to the Recognition of the Focus of Attention from Head Pose

Jean-Marc Odobez, Silèye Oumar Ba

IDIAP2007

Hierarchical and Parallel Processing of Modulation Spectrum for ASR applications

Hynek Hermansky, Fabio Valente

The modulation spectrum is an efficient representation for describing dynamic information in signals. In this work we investigate how to exploit different elements of the modulation spectrum for extraction of information in automatic recognition of speech ...

IDIAP2007

Towards a Robust BCI: Error Potentials and Online Learning

José del Rocio Millán Ruiz, Anna Buttfield, Pierre Ferrez

Recent advances in the field of Brain-Computer Interfaces (BCIs) have shown that BCIs have the potential to provide a powerful new channel of communication, completely independent of muscular and nervous systems. However, while there have been successful l ...

2006

Detecting Intentional Mental Transitions in an Asynchronous BCI

José del Rocio Millán Ruiz, Pierre Ferrez

The inclusion of mental tasks transitions detection (MTTD) has proven a useful tool in guiding the transduction process of a BCI working under an asynchronous protocol. MTTD allows for the extraction of the signal's contextual information in order to infer ...

IDIAP2006

Ensembles for Sequence Learning

Christos Dimitrakakis

École Polytechnique Fédérale de Lausanne2006

Division of labour and colony efficiency in social insects: effects of interactions between genetic architecture, colony kin structure and rate of perturbations

Dario Floreano, Stéphane Magnenat, Laurent Keller, Markus Waibel

The efficiency of social insect colonies critically depends on their ability to efficiently allocate workers to the various tasks which need to be performed. While numerous models have investigated the mechanisms allowing an efficient colony response to ex ...

2006

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