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JAIR
2008
148views more  JAIR 2008»
13 years 7 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
ICALP
2005
Springer
14 years 1 months ago
New Approaches for Virtual Private Network Design
Virtual Private Network Design is the following NP-hard problem. We are given a communication network, represented as a weighted graph with thresholds on the nodes which represent...
Friedrich Eisenbrand, Fabrizio Grandoni, Gianpaolo...
TSMC
2011
250views more  TSMC 2011»
13 years 2 months ago
Markov Models for Biogeography-Based Optimization
—Biogeography-based optimization (BBO) is a4 population-based evolutionary algorithm that is based on the5 mathematics of biogeography. Biogeography is the science and6 study of ...
Dan Simon, Mehmet Ergezer, Dawei Du, Richard Allen...
CADE
2006
Springer
14 years 7 months ago
Stratified Context Unification Is NP-Complete
Context Unification is the problem to decide for a given set of second-order equations E where all second-order variables are unary, whether there exists a unifier, such that for e...
Jordi Levy, Manfred Schmidt-Schauß, Mateu Vi...
MST
2010
98views more  MST 2010»
13 years 6 months ago
Why Almost All k-Colorable Graphs Are Easy to Color
Coloring a k-colorable graph using k colors (k ≥ 3) is a notoriously hard problem. Considering average case analysis allows for better results. In this work we consider the unif...
Amin Coja-Oghlan, Michael Krivelevich, Dan Vilench...