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131
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SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 3 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 1 months ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
105
Voted
CHI
2008
ACM
16 years 1 months ago
Ingimp: introducing instrumentation to an end-user open source application
Open source projects are gradually incorporating usability methods into their development practices, but there are still many unmet needs. One particular need for nearly any open ...
Michael Terry, Matthew Kay, Brad Van Vugt, Brandon...
140
Voted
BMCBI
2006
166views more  BMCBI 2006»
15 years 20 days ago
bioNMF: a versatile tool for non-negative matrix factorization in biology
Background: In the Bioinformatics field, a great deal of interest has been given to Non-negative matrix factorization technique (NMF), due to its capability of providing new insig...
Alberto D. Pascual-Montano, Pedro Carmona-Saez, Mo...
FLAIRS
2010
15 years 2 months ago
Handling of Numeric Ranges for Graph-Based Knowledge Discovery
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Ho...