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» A Useful Undecidable Theory
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205
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FOCS
1990
IEEE
15 years 11 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
191
Voted
ATAL
2007
Springer
15 years 11 months ago
Model-based belief merging without distance measures
Merging operators try to define the beliefs of a group of agents according to the beliefs of each member of the group. Several model-based propositional belief merging operators h...
Verónica Borja Macías, Pilar Pozos P...
CANDC
2009
ACM
15 years 11 months ago
Computational and cognitive infrastructures of stigma: empowering identity in social computing and gaming
Computing technologies such as games, social networking sites, and virtual environments often reproduce forms of social stigma encountered in everyday real life, as well as introd...
D. Fox Harrell
CSL
2009
Springer
15 years 11 months ago
Fixed-Point Definability and Polynomial Time
My talk will be a survey of recent results about the quest for a logic capturing polynomial time. In a fundamental study of database query languages, Chandra and Harel [4] first ra...
Martin Grohe
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 11 months ago
Crossover: the divine afflatus in search
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...
David Iclanzan
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