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NIPS
2008
13 years 11 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
SODA
2008
ACM
109views Algorithms» more  SODA 2008»
13 years 11 months ago
Auctions for structured procurement
This paper considers a general setting for structured procurement and the problem a buyer faces in designing a procurement mechanism to maximize profit. This brings together two a...
Matthew Cary, Abraham D. Flaxman, Jason D. Hartlin...
UAI
2004
13 years 11 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
SODA
1998
ACM
157views Algorithms» more  SODA 1998»
13 years 11 months ago
A Polynomial Time Approximation Scheme for Minimum Routing Cost Spanning Trees
Given an undirected graph with nonnegative costs on the edges, the routing cost of any of its spanning trees is the sum over all pairs of vertices of the cost of the path between t...
Bang Ye Wu, Giuseppe Lancia, Vineet Bafna, Kun-Mao...
AAAI
1996
13 years 11 months ago
Lazy Arc Consistency
Arc consistency filtering is widely used in the framework of binary constraint satisfaction problems: with a low complexity, inconsistency may be detected,and domains are filtered...
Thomas Schiex, Jean-Charles Régin, Christin...
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