4255 search results - page 187 / 851 » On Learning Boolean Functions |
186
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CORR
2011
Springer
15 years 1 months ago
2011
Springer
Valiant’s (2007) model of evolvability models the evolutionary process of acquiring useful functionality as a restricted form of learning from random examples. Linear threshold ...
149
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CAE
2005
15 years 8 months ago
2005
Labels effectively convey co-referential relations between textual and visual elements and are a powerful tool to support learning tasks. Therefore, almost all illustrations in sc...
169
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PAAMS
2010
Springer
15 years 4 months ago
2010
Springer
This paper presents an improved version of a multiagent architecture aimed at providing solutions for monitoring the interaction between the atmosphere and the ocean. The ocean sur...
162
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KDD
2005
ACM
16 years 6 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
197
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STOC
2009
ACM
16 years 7 months ago
2009
ACM
We consider the following question: given a two-argument boolean function f, represented as an N ? N binary matrix, how hard is to determine the (deterministic) communication comp...