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CONTEXT
2001
Springer
14 years 1 months ago
Learning Appropriate Contexts
Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different...
Bruce Edmonds
CPAIOR
2009
Springer
14 years 3 months ago
Learning How to Propagate Using Random Probing
Abstract. In constraint programming there are often many choices regarding the propagation method to be used on the constraints of a problem. However, simple constraint solvers usu...
Efstathios Stamatatos, Kostas Stergiou
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
14 years 3 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
UML
2005
Springer
14 years 2 months ago
Lessons Learned from Developing a Dynamic OCL Constraint Enforcement Tool for Java
Analysis and design by contract allows the definition of a formal agreement between a class and its clients, expressing each party’s rights and obligations. Contracts written in ...
Wojciech J. Dzidek, Lionel C. Briand, Yvan Labiche
ISSTA
2010
ACM
14 years 1 months ago
Learning from 6, 000 projects: lightweight cross-project anomaly detection
Real production code contains lots of knowledge—on the domain, on the architecture, and on the environment. How can we leverage this knowledge in new projects? Using a novel lig...
Natalie Gruska, Andrzej Wasylkowski, Andreas Zelle...