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AI
2008
Springer
13 years 10 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
ANOR
2010
13 years 10 months ago
2010
This paper presents two novel genetic algorithms (GAs) for hard industrially relevant packing problems. The design of both algorithms is inspired by aspects of molecular genetics,...
BIOINFORMATICS
2010
13 years 10 months ago
2010
Motivation: To test whether protein folding constraints and secondary structure sequence preferences significantly reduce the space of amino acid words in proteins, we compared th...
COGSCI
2010
13 years 10 months ago
2010
We evaluate two broad classes of cognitive mechanisms that might support the learning of sequential patterns. According to the first, learning is based on the gradual accumulation...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Abstract--This paper focuses on data structures for multicore reachability, which is a key component in model checking algorithms and other verification methods. A cornerstone of a...