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» Learning Approximate Consistencies
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ICML
2007
IEEE
16 years 2 months ago
What is decreased by the max-sum arc consistency algorithm?
Inference tasks in Markov random fields (MRFs) are closely related to the constraint satisfaction problem (CSP) and its soft generalizations. In particular, MAP inference in MRF i...
Tomás Werner
ICMCS
2006
IEEE
141views Multimedia» more  ICMCS 2006»
15 years 7 months ago
Consistent Goal-Directed User Model for Realisitc Man-Machine Task-Oriented Spoken Dialogue Simulation
Because of the great variability of factors to take into account, designing a spoken dialogue system is still a tailoring task. Rapid design and reusability of previous work is ma...
Olivier Pietquin
95
Voted
EDUTAINMENT
2006
Springer
15 years 5 months ago
Efficiently Maintaining Consistency Using Tree-Based P2P Network System in Distributed Network Games
There are two main approaches, conservative and optimistic, for maintaining consistency in distributed network games. Under the conservative approach, players may experience netwo...
Kyung Seob Moon, Vallipuram Muthukkumarasamy, Anne...
ICPR
2004
IEEE
16 years 2 months ago
A Consistency-Based Model Selection for One-Class Classification
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
David M. J. Tax, Klaus-Robert Müller
130
Voted
ECCV
2008
Springer
15 years 3 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...