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BMCBI
2008
160views more  BMCBI 2008»
13 years 10 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...

Book
747views
15 years 6 months ago
Data Structures and Algorithms with Object-Oriented Design Patterns in C++
"This book is about the fundamentals of data structures and algorithms--the basic elements from which large and complex software artifacts are built. To develop a solid unders...
Bruno R. Preiss
ICPR
2004
IEEE
14 years 11 months ago
Landscape of Clustering Algorithms
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literature. Despite the diversity of different clustering algorithms, solutions delive...
Anil K. Jain, Alexander P. Topchy, Martin H. C. La...
ICML
2007
IEEE
14 years 10 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
EUROGRAPHICS
2010
Eurographics
14 years 7 months ago
Multi-Scale Geometry Interpolation
Interpolating vertex positions among triangle meshes with identical vertex-edge graphs is a fundamental part of many geometric modelling systems. Linear vertex interpolation is ro...
Tim Winkler, J. Drieseberg, Marc Alexa, Kai Horman...