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IJCAI
2003
13 years 8 months ago
Probabilistically Survivable MASs
Muhiagent systems (MAS) can "go down" for a large number of reasons, ranging from system malfunctions and power failures to malicious attacks. The placement of agents on...
Sarit Kraus, V. S. Subrahmanian, N. Cihan Tas
TNN
2010
154views Management» more  TNN 2010»
13 years 2 months ago
Discriminative semi-supervised feature selection via manifold regularization
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin
CVPR
2005
IEEE
14 years 9 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
CEC
2011
IEEE
12 years 7 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
JAIR
2007
111views more  JAIR 2007»
13 years 7 months ago
Proactive Algorithms for Job Shop Scheduling with Probabilistic Durations
Most classical scheduling formulations assume a fixed and known duration for each activity. In this paper, we weaken this assumption, requiring instead that each duration can be ...
J. Christopher Beck, Nic Wilson