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CLA
2007
14 years 11 months ago
Policies Generalization in Reinforcement Learning using Galois Partitions Lattices
The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
Marc Ricordeau, Michel Liquiere
ECOOP
2007
Springer
15 years 1 months ago
Model-driven Software Refactoring
In this chapter, we explore the emerging research domain of modeldriven software refactoring. Program refactoring is a proven technique that aims at improving the quality of sourc...
Tom Mens, Gabriele Taentzer
IEEEICCI
2006
IEEE
15 years 3 months ago
SenseNet: A Knowledge Representation Model for Computational Semantics
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
Ping Chen, Wei Ding 0003, Chengmin Ding
ICSE
2009
IEEE-ACM
15 years 10 months ago
FEATUREHOUSE: Language-independent, automated software composition
Superimposition is a composition technique that has been applied successfully in many areas of software development. Although superimposition is a general-purpose concept, it has ...
Christian Kästner, Christian Lengauer, Sven A...
ISESE
2002
IEEE
15 years 2 months ago
The Appropriateness of Gutman's Means-End Chain Model in Software Evaluation
The primary objective of this paper was to examine the extent to which Gutman’s Means-End Chain Model can be used to describe the influences given to the choice of characteristi...
Bernard Wong