3416 search results - page 32 / 684 » Can Machines Learn Logics |
182
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ICALT
2006
IEEE
15 years 12 months ago
2006
IEEE
This position paper shows how several classical methods in adaptive learning can be addressed using IMS Learning Design. After a definition of four main questions to classify adap...
158
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ICML
2004
IEEE
16 years 6 months ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
162
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ETAI
2000
15 years 5 months ago
2000
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...
145
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ALT
2001
Springer
16 years 2 months ago
2001
Springer
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
170
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CGO
2009
IEEE
16 years 22 days ago
2009
IEEE
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...