Sciweavers

893 search results - page 131 / 179
» Analysis of new variable selection methods for discriminant ...
Sort
View
BMCBI
2007
194views more  BMCBI 2007»
13 years 9 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
ICB
2009
Springer
159views Biometrics» more  ICB 2009»
14 years 3 months ago
Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...
Changyou Chen, Junping Zhang, Rudolf Fleischer
ISDA
2010
IEEE
13 years 6 months ago
Avoiding simplification strategies by introducing multi-objectiveness in real world problems
Abstract--In business analysis, models are sometimes oversimplified. We pragmatically approach many problems with a single financial objective and include monetary values for non-m...
Charlotte J. C. Rietveld, Gijs P. Hendrix, Frank T...
SIAMAM
2000
131views more  SIAMAM 2000»
13 years 8 months ago
The Description of Homogeneous Branched-Chain Explosions with Slow Radical Recombination by Self-Adjusting Time Scales
A nonlinear multiscale technique is used to describe the time history of a spatially homogeneous chain-branching/chain-breaking explosion when chain branching is much faster than c...
Antonio L. Sanchez, Luis L. Bonilla, Manuel Carret...
CVPR
2006
IEEE
14 years 10 months ago
Modeling and Classifying Breast Tissue Density in Mammograms
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsu...
Anna Bosch, Arnau Oliver, Joan Martí, Xavie...