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FOCS
1990
IEEE
15 years 1 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
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 1 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
ICFP
2010
ACM
14 years 10 months ago
Matching lenses: alignment and view update
Bidirectional programming languages are a practical approach to the view update problem. Programs in these languages, called lenses, define both a view and an update policy--i.e.,...
Davi M. J. Barbosa, Julien Cretin, Nate Foster, Mi...
BMCBI
2007
128views more  BMCBI 2007»
14 years 10 months ago
Compression-based classification of biological sequences and structures via the Universal Similarity Metric: experimental assess
Background: Similarity of sequences is a key mathematical notion for Classification and Phylogenetic studies in Biology. It is currently primarily handled using alignments. Howeve...
Paolo Ferragina, Raffaele Giancarlo, Valentina Gre...
CORR
2010
Springer
141views Education» more  CORR 2010»
14 years 9 months ago
The Equivalence of Sampling and Searching
In a sampling problem, we are given an input x {0, 1} n , and asked to sample approximately from a probability distribution Dx over poly (n)-bit strings. In a search problem, we ...
Scott Aaronson