1799 search results - page 235 / 360 » Filtered Reinforcement Learning |
120
Voted
COLING
2010
14 years 9 months ago
2010
Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping met...
102
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LREC
2008
15 years 4 months ago
2008
One of the aims of the Language Technology for eLearning project is to show that Natural Language Processing techniques can be employed to enhance the learning process. To this en...
117
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
130
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
127
Voted
CEAS
2005
Springer
15 years 8 months ago
2005
Springer
This paper explores the use of the naive Bayes classifier as the basis for personalised spam filters. Several machine learning algorithms, including variants of naive Bayes, hav...