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CCS
2003
ACM
15 years 8 months ago
Learning attack strategies from intrusion alerts
Understanding the strategies of attacks is crucial for security applications such as computer and network forensics, intrusion response, and prevention of future attacks. This pap...
Peng Ning, Dingbang Xu
JMLR
2006
153views more  JMLR 2006»
15 years 3 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
155
Voted
CVPR
2011
IEEE
14 years 11 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
123
Voted
JMLR
2010
113views more  JMLR 2010»
14 years 10 months ago
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...
IROS
2008
IEEE
146views Robotics» more  IROS 2008»
15 years 9 months ago
Optimal distributed planning for self assembly of modular manipulators
— We describe algorithms to build self-assembling robot systems composed of active modular robots and passive bars. The distributed algorithms are based on locally optimal matchi...
Seung-kook Yun, Daniela Rus