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BMCBI
2010
84views more  BMCBI 2010»
13 years 9 months ago
A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis
Background: The success achieved by genome-wide association (GWA) studies in the identification of candidate loci for complex diseases has been accompanied by an inability to expl...
Benjamin A. Logsdon, Gabriel E. Hoffman, Jason G. ...
CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 9 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 2 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
SDMW
2004
Springer
14 years 2 months ago
Experimental Analysis of Privacy-Preserving Statistics Computation
The recent investigation of privacy-preserving data mining and other kinds of privacy-preserving distributed computation has been motivated by the growing concern about the privacy...
Hiranmayee Subramaniam, Rebecca N. Wright, Zhiqian...
CEC
2007
IEEE
14 years 3 months ago
A study on application of fitness inference method to PC-IGA
— This paper applies the fitness inference method to Interactive Genetic Algorithm based on Paired Comparison (PC-IGA). PC-IGA enables users to reduce the mental burden for eval...
Yoshinobu Watanabe, Tomohiro Yoshikawa, Takeshi Fu...