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» Gene selection via the BAHSIC family of algorithms
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BMCBI
2007
148views more  BMCBI 2007»
14 years 9 months ago
Evaluation of gene-expression clustering via mutual information distance measure
Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compa...
Ido Priness, Oded Maimon, Irad E. Ben-Gal
BMCBI
2006
164views more  BMCBI 2006»
14 years 9 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
JMLR
2006
97views more  JMLR 2006»
14 years 9 months ago
Learning Coordinate Covariances via Gradients
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
Sayan Mukherjee, Ding-Xuan Zhou
ISPD
2003
ACM
88views Hardware» more  ISPD 2003»
15 years 3 months ago
Synthesis and placement flow for gain-based programmable regular fabrics
In this paper we present the Gain-based Logic Block Array (GLA), a new via-programmable regular fabric. GLA is an array of Gainbased Logic Blocks (GLBs). The GLB is a semi-univers...
Bo Hu, Hailin Jiang, Qinghua Liu, Malgorzata Marek...
CVPR
2008
IEEE
15 years 11 months ago
A unified framework for generalized Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Shuiwang Ji, Jieping Ye