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ML
1998
ACM
136views Machine Learning» more  ML 1998»
13 years 9 months ago
Co-Evolution in the Successful Learning of Backgammon Strategy
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair
FLAIRS
2009
13 years 7 months ago
Supporting Uncertainty and Inconsistency in Semantic Web Applications
Ensuring the consistency and completeness of Semantic Web ontologies is practically impossible, because of their scale and highly dynamic nature. Many web applications, therefore,...
Neli P. Zlatareva
ICFP
2007
ACM
14 years 9 months ago
Functional pearl: the great escape or, how to jump the border without getting caught
Filinski showed that callcc and a single mutable reference cell are sufficient to express the delimited control operators shift and reset. However, this implementation interacts p...
David Herman
POPL
2002
ACM
14 years 10 months ago
Adaptive functional programming
An adaptive computation maintains the relationship between its input and output as the input changes. Although various techniques for adaptive computing have been proposed, they r...
Umut A. Acar, Guy E. Blelloch, Robert Harper
EPIA
2003
Springer
14 years 3 months ago
An Evolvable Rule-Based E-mail Agent
The Semantic Web is a “living organism”, which combines autonomously evolving data sources/knowledge repositories. This dynamic character of the Semantic Web requires (declarat...
José Júlio Alferes, Antonio Brogi, J...