Sciweavers

287 search results - page 11 / 58
» Optimal Solutions for Sparse Principal Component Analysis
Sort
View
BMCBI
2005
201views more  BMCBI 2005»
14 years 9 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
ICML
2010
IEEE
14 years 9 months ago
A DC Programming Approach for Sparse Eigenvalue Problem
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
Mamadou Thiao, Pham Dinh Tao, Le Thi Hoai An
NIPS
2008
14 years 11 months ago
Sparse probabilistic projections
We present a generative model for performing sparse probabilistic projections, which includes sparse principal component analysis and sparse canonical correlation analysis as spec...
Cédric Archambeau, Francis Bach
SIAMJO
2011
14 years 4 months ago
Approximating Semidefinite Packing Programs
In this paper we define semidefinite packing programs and describe an algorithm to approximately solve these problems. Semidefinite packing programs arise in many applications s...
Garud Iyengar, David J. Phillips, Clifford Stein
PAKDD
2005
ACM
164views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Covariance and PCA for Categorical Variables
Covariances from categorical variables are defined using a regular simplex expression for categories. The method follows the variance definition by Gini, and it gives the covaria...
Hirotaka Niitsuma, Takashi Okada