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» How to process uncertainty in machine learning
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ACIVS
2006
Springer
14 years 2 months ago
Discrete Choice Models for Static Facial Expression Recognition
In this paper we propose the use of Discrete Choice Analysis (DCA) for static facial expression classification. Facial expressions are described with expression descriptive units ...
Gianluca Antonini, Matteo Sorci, Michel Bierlaire,...
ICML
1999
IEEE
14 years 1 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
14 years 2 months ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart
KI
2010
Springer
13 years 7 months ago
CoTeSys - Cognition for Technical Systems
The COTESYS cluster of excellence1 investigates cognition for technical systems such as vehicles, robots, and factories. Cognitive technical systems (CTS) are information processi...
Martin Buss, Michael Beetz
ECTEL
2007
Springer
13 years 10 months ago
E-Learning on the Social Semantic Information Sources
Abstract. E-Learning grows on the fertile soil of the Internet technologies; it fails, however, to reach their full potential. With new, emerging technologies of the second generat...
Sebastian Ryszard Kruk, Adam Gzella, Jaroslaw Dobr...