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IJCAI
2001
13 years 8 months ago
Using Case-Base Data to Learn Adaptation Knowledge for Design
One advantage of Case-Based Reasoning (CBR) is the relative ease of constructing and maintaining CBR systems, especially as a number of commercial CBR tools are available. However...
Jacek Jarmulak, Susan Craw, Ray Rowe
PLDI
2006
ACM
14 years 20 days ago
Context-sensitive domain-independent algorithm composition and selection
Progressing beyond the productivity of present-day languages appears to require using domain-specific knowledge. Domain-specific languages and libraries (DSLs) proliferate, but ...
Troy A. Johnson, Rudolf Eigenmann
AI
1999
Springer
13 years 6 months ago
Introspective Multistrategy Learning: On the Construction of Learning Strategies
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Michael T. Cox, Ashwin Ram
JAIR
2006
90views more  JAIR 2006»
13 years 6 months ago
Engineering Benchmarks for Planning: the Domains Used in the Deterministic Part of IPC-4
In a field of research about general reasoning mechanisms, it is essential to have appropriate benchmarks. Ideally, the benchmarks should reflect possible applications of the deve...
Jörg Hoffmann, Stefan Edelkamp, Sylvie Thi&ea...
JAIR
2006
157views more  JAIR 2006»
13 years 6 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...