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JMLR
2006
140views more  JMLR 2006»
13 years 9 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
CI
2005
106views more  CI 2005»
13 years 9 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
ICRA
2005
IEEE
106views Robotics» more  ICRA 2005»
14 years 3 months ago
Goal-Directed Imitation in a Humanoid Robot
Abstract— Our work aims at developing a robust discriminant controller for robot programming by demonstration. It addresses two core issues of imitation learning, namely “what to...
Sylvain Calinon, Florent Guenter, Aude Billard
ACL
1990
13 years 10 months ago
Parsing the LOB Corpus
This paper1 presents a rapid and robust parsing system currently used to learn from large bodies of unedited text. The system contains a multivalued part-of-speech disambiguator a...
Carl de Marcken
INTEGRATION
2010
172views more  INTEGRATION 2010»
13 years 8 months ago
Analog circuits optimization based on evolutionary computation techniques
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
Manuel F. M. Barros, Jorge Guilherme, Nuno Horta