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NIPS
2004
15 years 8 months ago
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, ...
AAAI
2000
15 years 8 months ago
A Flexible Framework for Defeasible Logics
Logics for knowledge representation suffer from overspecialization: while each logic may provide an ideal representation formalism for some problems, it is less than optimal for o...
Grigoris Antoniou, David Billington, Guido Governa...
UAI
2000
15 years 8 months ago
The Complexity of Decentralized Control of Markov Decision Processes
We consider decentralized control of Markov decision processes and give complexity bounds on the worst-case running time for algorithms that find optimal solutions. Generalization...
Daniel S. Bernstein, Shlomo Zilberstein, Neil Imme...
GECCO
2008
Springer
142views Optimization» more  GECCO 2008»
15 years 8 months ago
Complexity of Max-SAT using stochastic algorithms
Hill-climbing has been shown to be more effective than exhaustive search in solving satisfiability problems.Also, it has been used either by itself or in combination with other ...
Mohamed Qasem, Adam Prügel-Bennett
ICASSP
2010
IEEE
15 years 7 months ago
Statistical Resolution Limit for multiple parameters of interest and for multiple signals
The concept of Statistical Resolution Limit (SRL), which is defined as the minimal separation to resolve two closely spaced signals, is an important tool to quantify performance ...
Mohammed Nabil El Korso, Rémy Boyer, Alexan...