1393 search results - page 103 / 279 » Machine Learning by Function Decomposition |
117
Voted
ECAI
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
117
Voted
CIKM
2009
Springer
15 years 8 months ago
2009
Springer
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
105
click to vote
ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Reminder systems support people with impaired prospective memory and/or executive function, by providing them with reminders of their functional daily activities. We integrate tem...
113
Voted
ML
1998
ACM
15 years 1 months ago
1998
ACM
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
119
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...