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101
Voted
IROS
2008
IEEE
15 years 9 months ago
2008
IEEE
—This paper introduces a new approach to develop robots that can learn general affordance relations from their experiences. Our approach is a part of larger efforts to develop a ...
127
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EMNLP
2010
15 years 16 days ago
2010
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
141
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IUI
2000
ACM
15 years 7 months ago
2000
ACM
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
134
Voted
ACIIDS
2010
IEEE
15 years 7 months ago
2010
IEEE
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
113
Voted
COLT
2008
Springer
15 years 4 months ago
2008
Springer
We define a model of learning probabilistic acyclic circuits using value injection queries, in which an arbitrary subset of wires is set to fixed values, and the value on the sing...