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ICDM
2009
IEEE
111views Data Mining» more  ICDM 2009»
14 years 5 days ago
A Game Theoretical Model for Adversarial Learning
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
Wei Liu, Sanjay Chawla
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 11 months ago
Exploring selection mechanisms for an agent-based distributed evolutionary algorithm
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
A. E. Eiben, Marc Schoenauer, Juan Luís Jim...
AAAI
2000
13 years 6 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
EAAI
2007
154views more  EAAI 2007»
13 years 5 months ago
An agent-based approach to solve dynamic meeting scheduling problems with preferences
Multi-agent systems are widely used to address large-scale distributed combinatorial applications in the real world. One such application is meeting scheduling (MS), which is de...
Ahlem Ben Hassine, Tu Bao Ho
TASE
2008
IEEE
13 years 5 months ago
Group Elevator Scheduling With Advance Information for Normal and Emergency Modes
Group elevator scheduling has long been recognized as an important problem for building transportation efficiency, since unsatisfactory elevator service is one of the major complai...
Peter B. Luh, Bo Xiong, Shi-Chung Chang