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» A Statistical Learning Perspective of Genetic Programming
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CCS
2009
ACM
14 years 17 days ago
Learning your identity and disease from research papers: information leaks in genome wide association study
Genome-wide association studies (GWAS) aim at discovering the association between genetic variations, particularly single-nucleotide polymorphism (SNP), and common diseases, which...
Rui Wang, Yong Fuga Li, XiaoFeng Wang, Haixu Tang,...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 9 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
AAAI
2007
13 years 8 months ago
Biomind ArrayGenius and GeneGenius: Web Services Offering Microarray and SNP Data Analysis via Novel Machine Learning Methods
Analysis of postgenomic biological data (such as microarray and SNP data) is a subtle art and science, and the statistical methods most commonly utilized sometimes prove inadequat...
Ben Goertzel, Cassio Pennachin, Lúcio de So...
DATAMINE
2002
125views more  DATAMINE 2002»
13 years 5 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
ECLIPSE
2005
ACM
13 years 7 months ago
Study of novice programmers using Eclipse and Gild
In this paper we discuss a pilot user study that compares the use of two integrated development environments (IDEs), Eclipse and Gild, by novice programmers. Gild is a perspective...
Peter C. Rigby, Suzanne Thompson