3416 search results - page 23 / 684 » Can Machines Learn Logics |
156
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AAAI
2008
15 years 8 months ago
2008
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
167
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ML
2006
ACM
15 years 5 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
151
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ICONIP
1998
15 years 7 months ago
1998
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
176
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ACL
2010
15 years 3 months ago
2010
We present cdec, an open source framework for decoding, aligning with, and training a number of statistical machine translation models, including word-based models, phrase-based m...
135
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NIPS
1997
15 years 7 months ago
1997
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...