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Boosting Nearest Neighbors for the Efficient Estimation of Posteriors
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Motif Discovery on Promotor Sequences
Transcriptional regulation is the mechanism in the cell that controls when and how genes are expressed into proteins. This document gives an overview over current... -
Analyzing collaborative learning processes automatically: Exploiting the adva...
In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad... -
Analogical Dissimilarity: definition, algorithms and first experiments in mac...
This paper defines the notion of analogical dissimilarity between four objects, with a special focus on dissimilarity between objects structured as sequences. Firstly,... -
Quick Summary
Quick Summary is an innovate implementation of an automatic document summarizer that inputs a document in the English language and evaluates each sentence. The scanner... -
Clustering Trajectories of a Three-Way Longitudinal Dataset
Longitudinal data are widely used information for repeated observations of the same units over a period of time in order to investigate developmental trends across... -
OMaxist Dialectics
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Learning Methods for Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body... -
Towards production data mining to improve DFM methods in Microelectronics ind...
The DFM (design for manufacturing) methods are used during technology alignment and adoption processes in the semiconductor industry (SI) for manufacturability and... -
Coping with the Computational and Statistical Bipolar Nature of Machine Learning
Machine Learning is known to have its roots in a broad spectrum of fields including Artificial Intelligence, Pattern Recognition, Statistics or Optimisation. From the... -
Bayesian Programming and Learning for Multi-Player Video Games, Application t...
This thesis explores the use of Bayesian models in multi-player video games AI, particularly real-time strategy (RTS) games AI. Video games are an in-between of real... -
New trends in Markov models and related learning to restore data
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Structured Models for Action Recognition in Real-word Videos
This dissertation introduces novel models to recognize broad action categories --- like "opening a door" and "running" --- in real-world video data such as movies and... -
Introduction to the Issue on Advances in Spoken Dialogue Systems and Mobile I...
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Dynamic Thread Mapping Based on Machine Learning for Transactional Memory App...
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Kernel Functions in Takagi-Sugeno-Kang Fuzzy System with Nonsingleton Fuzzy I...
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A Learning Personalised Information Filter
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A Combined Approach to Emotion Detection in Suicide Notes
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Contribution to study, dand implementation of intelligent distributed control...
In this thesis, it concentrated the multi robot team navigating in an unknown environment. In our multi robot team, there is a humanoid robot as a leader and a team of... -
Large-Margin Metric Learning for Constrained Partitioning Problems
International audience
