1736 search results - page 130 / 348 » String Extension Learning |
136
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ML
2006
ACM
15 years 4 months ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
168
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TNN
2008
15 years 4 months ago
2008
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...
140
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TSMC
2008
15 years 4 months ago
2008
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
159
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JODL
2007
2007
Building rich, semantic descriptions of learning activities to facilitate reuse in digital libraries
15 years 4 months ago
Abstract This paper describes efforts to extend educational descriptions of learning objects to enable semantic search for suitable resources held within digital libraries and cybe...
142
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ICDM
2010
IEEE
15 years 2 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...