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121
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GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 9 months ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
15 years 1 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
146
Voted
WINET
2002
103views more  WINET 2002»
15 years 3 months ago
LeZi-Update: An Information-Theoretic Framework for Personal Mobility Tracking in PCS Networks
The complexity of the mobility tracking problem in a cellular environment has been characterized under an information-theoretic framework. Shannon's entropy measure is identif...
Amiya Bhattacharya, Sajal K. Das
152
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BMCBI
2006
101views more  BMCBI 2006»
15 years 3 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
104
Voted
DCC
2001
IEEE
16 years 3 months ago
Trellis Structure and Higher Weights of Extremal Self-Dual Codes
A method for demonstrating and enumerating uniformly efficient (permutation-optimal) trellis decoders for self-dual codes of high minimum distance is developed. Such decoders and c...
Houshou Chen, John T. Coffey