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BMCBI
2008
160views more  BMCBI 2008»
15 years 2 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...
GECCO
2000
Springer
108views Optimization» more  GECCO 2000»
15 years 6 months ago
Hierarchical Problem Solving and the Bayesian Optimization Algorithm
The paper discusses three major issues. First, it discusses why it makes sense to approach problems in a hierarchical fashion. It de nes the class of hierarchically decomposable f...
Martin Pelikan, David E. Goldberg
BMCBI
2006
159views more  BMCBI 2006»
15 years 2 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey
COMBINATORICS
2004
75views more  COMBINATORICS 2004»
15 years 2 months ago
Nonexistence Results for Hadamard-like Matrices
The class of square (0, 1, -1)-matrices whose rows are nonzero and mutually orthogonal is studied. This class generalizes the classes of Hadamard and Weighing matrices. We prove t...
Justin D. Christian, Bryan L. Shader
135
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PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
15 years 6 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...