9886 search results - page 213 / 1978 » Learning Compressible Models |
159
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ECML
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
121
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IJON
2007
15 years 3 months ago
2007
It has been unclear whether optimal experimental design accounts of data selection may offer insight into evidence acquisition tasks in which the learner’s beliefs change greatl...
130
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
This paper analyzes the performance of semisupervised learning of mixture models. We show that unlabeled data can lead to an increase in classification error even in situations wh...
140
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CVPR
1997
IEEE
15 years 7 months ago
1997
IEEE
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
144
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AH
2006
Springer
15 years 7 months ago
2006
Springer
Interactive Digital TV (IDTV) opens new learning possibilities where new forms of education are needed. In this paper we explain a new conception of t-learning experiences where TV...