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» A New Selection Ratio for Large Population Sizes
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ICIAP
2005
ACM
14 years 8 months ago
Statistical Modeling of Huffman Tables Coding
An innovative algorithm for automatic generation of Huffman coding tables for semantic classes of digital images is presented. Collecting statistics over a large dataset of corresp...
Sebastiano Battiato, Camillo Bosco, Arcangelo Brun...
ISAAC
2007
Springer
102views Algorithms» more  ISAAC 2007»
14 years 2 months ago
Depth of Field and Cautious-Greedy Routing in Social Networks
Social networks support efficient decentralized search: people can collectively construct short paths to a specified target in the network. Rank-based friendship—where the prob...
David Barbella, George Kachergis, David Liben-Nowe...
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
14 years 5 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
CEC
2007
IEEE
14 years 2 months ago
Evolvability and Redundancy in Shared Grammar Evolution
— Shared grammar evolution (SGE) is a novel scheme for representing and evolving a population of variablelength programs as a shared set of grammatical productions. Productions t...
Martin H. Luerssen, David M. W. Powers
BMCBI
2010
158views more  BMCBI 2010»
13 years 8 months ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....