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176
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JMLR
2002
73views more  JMLR 2002»
15 years 6 months ago
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
We apply a variational method to automatically determine the number of mixtures of independent components in high-dimensional datasets, in which the sources may be nonsymmetricall...
Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
205
Voted
JMLR
2008
150views more  JMLR 2008»
15 years 6 months ago
Discriminative Learning of Max-Sum Classifiers
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Vojtech Franc, Bogdan Savchynskyy
180
Voted
NIPS
2007
15 years 8 months ago
Learning and using relational theories
Much of human knowledge is organized into sophisticated systems that are often called intuitive theories. We propose that intuitive theories are mentally represented in a logical ...
Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
175
Voted
ATAL
2006
Springer
15 years 10 months ago
Winning back the CUP for distributed POMDPs: planning over continuous belief spaces
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...
Pradeep Varakantham, Ranjit Nair, Milind Tambe, Ma...
ECAI
2010
Springer
15 years 8 months ago
The Complexity of Epistemic Model Checking: Clock Semantics and Branching Time
In the clock semantics for epistemic logic, two situations are indistinguishable for an agent when it makes the same observation and the time in the situations is the same. The pa...
Xiaowei Huang, Ron van der Meyden