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101
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AI
2006
Springer
14 years 9 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth
TACAS
2004
Springer
132views Algorithms» more  TACAS 2004»
15 years 2 months ago
Numerical vs. Statistical Probabilistic Model Checking: An Empirical Study
Numerical analysis based on uniformisation and statistical techniques based on sampling and simulation are two distinct approaches for transient analysis of stochastic systems. We ...
Håkan L. S. Younes, Marta Z. Kwiatkowska, Ge...
JSS
2010
91views more  JSS 2010»
14 years 8 months ago
Assessing the impact of global variables on program dependence and dependence clusters
This paper presents results of a study of the effect of global variables on the quantity of dependence in general and on the presence of dependence clusters in particular. The pa...
David Binkley, Mark Harman, Youssef Hassoun, Syed ...
IJCNN
2006
IEEE
15 years 3 months ago
Relative Gradient Learning for Independent Subspace Analysis
Abstract— Independent subspace analysis (ISA) is a generalization of independent component analysis (ICA), where multidimensional ICA is incorporated with the idea of invariant f...
Heeyoul Choi, Seungjin Choi
89
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IJCAI
2003
14 years 10 months ago
Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. ...