3624 search results - page 305 / 725 » Learning to learn: From smart machines to intelligent machin... |
173
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
196
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LREC
2010
15 years 8 months ago
2010
We present Witchcraft, an open-source framework for the evaluation of prediction models for spoken dialogue systems based on interaction logs and audio recordings. The use of Witc...
200
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MIR
2005
ACM
16 years 10 days ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
257
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MLG
2007
Springer
16 years 28 days ago
2007
Springer
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
175
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CIKM
2009
Springer
16 years 1 months ago
2009
Springer
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...