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» Magnitude-preserving ranking algorithms
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ML
2000
ACM
185views Machine Learning» more  ML 2000»
15 years 6 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
BMCBI
2006
119views more  BMCBI 2006»
15 years 6 months ago
Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
Zihua Hu, Gail R. Willsky
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 7 months ago
Threshold selecting: best possible probability distribution for crossover selection in genetic algorithms
The paper considers the problem of selecting individuals in the current population in Genetic Algorithms for crossover to find a solution of high fitness of a given combinatoria...
Jörg Lässig, Karl Heinz Hoffmann, Mihael...
WWW
2007
ACM
16 years 7 months ago
Expertise networks in online communities: structure and algorithms
Web-based communities have become important places for people to seek and share expertise. We find that networks in these communities typically differ in their topology from other...
Jun Zhang, Mark S. Ackerman, Lada A. Adamic
BMCBI
2006
128views more  BMCBI 2006»
15 years 6 months ago
Rank-statistics based enrichment-site prediction algorithm developed for chromatin immunoprecipitation on chip experiments
Background: High density oligonucleotide tiling arrays are an effective and powerful platform for conducting unbiased genome-wide studies. The ab initio probe selection method emp...
Srinka Ghosh, Heather A. Hirsch, Edward A. Sekinge...