273 search results - page 19 / 55 » Learning the Structure of Deep Sparse Graphical Models |
124
Voted
NIPS
2008
15 years 3 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
170
Voted
JMLR
2012
13 years 4 months ago
2012
This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
116
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
116
Voted
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
134
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...