8970 search results - page 119 / 1794 » Learning to Learn Causal Models |
154
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KDD
2010
ACM
15 years 8 months ago
2010
ACM
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
147
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ANNPR
2008
Springer
15 years 6 months ago
2008
Springer
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
156
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ECML
2004
Springer
15 years 9 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
117
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ECAL
2003
Springer
15 years 9 months ago
2003
Springer
This paper presents an adaptation of Luc Steels’s model of Category Formation and Language Sharing. The simple competitive learning algorithm is proposed as a more general means ...
155
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FOCS
2008
IEEE
15 years 10 months ago
2008
IEEE
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...