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» Discovering Test Set Regularities in Relational Domains
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BMCBI
2005
106views more  BMCBI 2005»
14 years 10 months ago
Thesaurus-based disambiguation of gene symbols
Background: Massive text mining of the biological literature holds great promise of relating disparate information and discovering new knowledge. However, disambiguation of gene s...
Bob J. A. Schijvenaars, Barend Mons, Marc Weeber, ...
VIS
2009
IEEE
246views Visualization» more  VIS 2009»
15 years 11 months ago
Supercubes: A High-Level Primitive for Diamond Hierarchies
Abstract-- Volumetric datasets are often modeled using a multiresolution approach based on a nested decomposition of the domain into a polyhedral mesh. Nested tetrahedral meshes ge...
Kenneth Weiss, Leila De Floriani
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
15 years 3 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
CLEIEJ
2008
97views more  CLEIEJ 2008»
14 years 10 months ago
A finite bidimensional wavelet framework for computer graphics: Image equalization
A lot of material has been written about wavelet theory. Most of these texts provide an elegant framework from the functional and real analysis point of view. The complete infinit...
Francisco Jose Benavides Murillo, Edgar Benavides ...
CCS
2009
ACM
15 years 4 months ago
Learning your identity and disease from research papers: information leaks in genome wide association study
Genome-wide association studies (GWAS) aim at discovering the association between genetic variations, particularly single-nucleotide polymorphism (SNP), and common diseases, which...
Rui Wang, Yong Fuga Li, XiaoFeng Wang, Haixu Tang,...