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BMCBI
2008
126views more  BMCBI 2008»
13 years 7 months ago
Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems
Background: The Signal-to-Noise-Ratio (SNR) is often used for identification of biomarkers for two-class problems and no formal and useful generalization of SNR is available for m...
Yu-Shuen Tsai, Chin-Teng Lin, George C. Tseng, I-F...
IOR
2006
93views more  IOR 2006»
13 years 7 months ago
A Branch-and-Price Algorithm for the Multilevel Generalized Assignment Problem
The multilevel generalized assignment problem (MGAP) is a variation of the generalized assignment problem, in which agents can execute tasks at different efficiency levels with di...
Alberto Ceselli, Giovanni Righini
GECCO
2007
Springer
289views Optimization» more  GECCO 2007»
14 years 1 months ago
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem
Dividing the set of nodes into clusters in the well-known traveling salesman problem results in the generalized traveling salesman problem which seeking a tour with minimum cost p...
Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan,...
RECOMB
2001
Springer
14 years 7 months ago
Applications of generalized pair hidden Markov models to alignment and gene finding problems
Hidden Markov models (HMMs) have been successfully applied to a variety of problems in molecular biology, ranging from alignment problems to gene nding and annotation. Alignment p...
Lior Pachter, Marina Alexandersson, Simon Cawley
ICML
2009
IEEE
14 years 8 months ago
A least squares formulation for a class of generalized eigenvalue problems in machine learning
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
Liang Sun, Shuiwang Ji, Jieping Ye