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JMLR
2012
11 years 10 months ago
Structured Sparse Canonical Correlation Analysis
In this paper, we propose to apply sparse canonical correlation analysis (sparse CCA) to an important genome-wide association study problem, eQTL mapping. Existing sparse CCA mode...
Xi Chen, Han Liu, Jaime G. Carbonell
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 9 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
CVPR
2007
IEEE
14 years 10 months ago
Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations
This paper presents a new incremental learning solution for Linear Discriminant Analysis (LDA). We apply the concept of the sufficient spanning set approximation in each update st...
Björn Stenger, Josef Kittler, Roberto Cipolla...
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 2 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett
WCRE
2002
IEEE
14 years 1 months ago
Analysis of Virtual Method Invocation for Binary Translation
The University of Queensland Binary Translator (UQBT ) is a static binary translation framework that allows for the translation of binary, executable programs, from one architectu...
Jens Tröger, Cristina Cifuentes