2440 search results - page 252 / 488 » Learn .MT: A New Approach to Incremental Learning |
164
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ALT
2006
Springer
16 years 3 months ago
2006
Springer
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
188
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GECCO
2007
Springer
16 years 21 days ago
2007
Springer
Evolutionary algorithms applied in real domain should profit from information about the local fitness function curvature. This paper presents an initial study of an evolutionary...
168
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SEMWEB
2005
Springer
16 years 12 hour ago
2005
Springer
Visiting museums is an increasingly popular pastime. Studies have shown that visitors can draw on their museum experience, long after their visit, to learn new things in practical ...
162
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NLDB
2004
Springer
15 years 12 months ago
2004
Springer
Abstract. In this paper, we describe a new way to access information by “chatting” to an information source. This involves a chatbot, a program that emulates human conversation...
177
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ICDM
2003
IEEE
15 years 11 months ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...