1864 search results - page 120 / 373 » Modeling Classification and Inference Learning |
102
Voted
NIPS
2000
15 years 2 months ago
2000
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
107
Voted
TSP
2010
14 years 7 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
119
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JMLR
2012
13 years 3 months ago
2012
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
116
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CADE
2004
Springer
16 years 1 months ago
2004
Springer
Abstract. Classifying finite algebraic structures has been a major motivation behind much research in pure mathematics. Automated techniques have aided in this process, but this ha...
105
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STOC
1993
ACM
15 years 4 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...