3624 search results - page 360 / 725 » Learning to learn: From smart machines to intelligent machin... |
161
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AAAI
1994
15 years 8 months ago
1994
We consider using machine learning techniques to help understand a large software system. In particular, we describe how learning techniques can be used to reconstruct abstract Da...
226
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AAAI
2010
15 years 3 months ago
2010
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
182
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EUROCOLT
1999
Springer
15 years 11 months ago
1999
Springer
The present paper motivates the study of mind change complexity for learning minimal models of length-bounded logic programs. It establishes ordinal mind change complexity bounds ...
193
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ICITA
2005
IEEE
16 years 15 days ago
2005
IEEE
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
194
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ECML
2005
Springer
16 years 13 days ago
2005
Springer
Abstract. We consider the problem of predicting how a user will continue a given initial text fragment. Intuitively, our goal is to develop a “tab-complete” function for natura...