4196 search results - page 415 / 840 » Unsupervised Learning of Relations |
202
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UAI
1998
15 years 7 months ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
191
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SODA
2000
ACM
15 years 7 months ago
2000
ACM
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
167
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COLING
1996
15 years 7 months ago
1996
We describe and experimentally evaluate a system, FeasPar, that learns parsing spontaneous speech. To train and run FeasPar (Feature Structure Parser), only limited handmodeled kn...
263
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BDA
2007
15 years 7 months ago
2007
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
150
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CORR
2007
Springer
15 years 6 months ago
2007
Springer
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...