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» Hierarchical Set Decision Diagrams and Regular Models
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TEC
2008
118views more  TEC 2008»
13 years 7 months ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
UAI
2004
13 years 9 months ago
Case-Factor Diagrams for Structured Probabilistic Modeling
We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Bo...
David A. McAllester, Michael Collins, Fernando Per...
JELIA
2004
Springer
14 years 1 months ago
Hierarchical Decision Making by Autonomous Agents
Abstract. Often, decision making involves autonomous agents that are structured in a complex hierarchy, representing e.g. authority. Typically the agents share the same body of kno...
Stijn Heymans, Davy Van Nieuwenborgh, Dirk Vermeir
ATAL
2007
Springer
14 years 1 months ago
Graphical models for online solutions to interactive POMDPs
We develop a new graphical representation for interactive partially observable Markov decision processes (I-POMDPs) that is significantly more transparent and semantically clear t...
Prashant Doshi, Yifeng Zeng, Qiongyu Chen
CGF
2010
165views more  CGF 2010»
13 years 6 months ago
Hierarchical Structure Recovery of Point-Sampled Surfaces
We focus on the class of regular models defined by Várady et al. for reverse engineering purposes. Given a 3D surface M represented through a dense set of points, we present a n...
Marco Attene, Giuseppe Patanè