1419 search results - page 92 / 284 » Approximation Methods for Supervised Learning |
72
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IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— In this article, we apply the competitive associative net called CAN2 to the processing of the range data of indoor environment acquired by a mobile robot, where the CAN2 is a ...
101
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KDD
2008
ACM
16 years 27 days ago
2008
ACM
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
117
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ICA
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
115
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ICML
1996
IEEE
15 years 4 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
EMNLP
2009
14 years 10 months ago
2009
Much NLP research on Multi-Word Expressions (MWEs) focuses on the discovery of new expressions, as opposed to the identification in texts of known expressions. However, MWE identi...