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» Comparative analysis of genetic algorithm implementations
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ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 2 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
SIGMOD
2009
ACM
250views Database» more  SIGMOD 2009»
14 years 5 months ago
Query processing techniques for solid state drives
Solid state drives perform random reads more than 100x faster than traditional magnetic hard disks, while offering comparable sequential read and write bandwidth. Because of their...
Dimitris Tsirogiannis, Stavros Harizopoulos, Mehul...
BMCBI
2010
182views more  BMCBI 2010»
13 years 5 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 5 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori