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COMPLEXITY
2004
108views more  COMPLEXITY 2004»
13 years 5 months ago
On the convergence of a factorized distribution algorithm with truncation selection
nical Abstract Optimization is to find the "best" solution to a problem where the quality of a solution can be measured by a given criterion. Estimation of Distribution A...
Qingfu Zhang
INFOCOM
2010
IEEE
13 years 4 months ago
Markov Approximation for Combinatorial Network Optimization
—Many important network design problems can be formulated as a combinatorial optimization problem. A large number of such problems, however, cannot readily be tackled by distribu...
Minghua Chen, Soung Chang Liew, Ziyu Shao, Caihong...
AI
2000
Springer
13 years 5 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
WWW
2010
ACM
14 years 23 days ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
HIPC
2000
Springer
13 years 9 months ago
A Weight Based Distributed Clustering Algorithm for Mobile ad hoc Networks
In this paper, we propose a distributed clustering algorithm for a multi-hop packet radio network. These types of networks, also known as ad hoc networks, are dynamic in nature due...
Mainak Chatterjee, Sajal K. Das, Damla Turgut