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APBC
2004
132views Bioinformatics» more  APBC 2004»
13 years 9 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov
CVPR
2008
IEEE
14 years 10 months ago
Two-Dimensional Active Learning for image classification
In this paper, we propose a two-dimensional active learning scheme and show its application in image classification. Traditional active learning methods select samples only along ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...
ICA
2004
Springer
14 years 1 months ago
A Model for Analyzing Dependencies Between Two ICA Features in Natural Images
Abstract. In this paper we examine how the activation of one independent component analysis (ICA) feature changes first and second order statistics of other independent components...
Mika Inki
SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
14 years 1 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
CORR
2010
Springer
125views Education» more  CORR 2010»
13 years 8 months ago
Near-Optimal Bayesian Active Learning with Noisy Observations
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
Daniel Golovin, Andreas Krause, Debajyoti Ray