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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
16 years 22 days ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
SAC
2005
ACM
16 years 4 days ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
HIPC
2004
Springer
15 years 12 months ago
A Parallel State Assignment Algorithm for Finite State Machines
This paper summarizes the design and implementation of a parallel algorithm for state assignment of large Finite State Machines (FSMs). High performance CAD tools are necessary to...
David A. Bader, Kamesh Madduri
ICDCS
2002
IEEE
15 years 11 months ago
A Reliable Multicast Algorithm for Mobile Ad Hoc Networks
: A reliable multicast algorithm, called RMA, for mobile ad hoc networks is presented that is based on a new cost criterion, called link lifetime, for determining the optimal path ...
Thiagaraja Gopalsamy, Mukesh Singhal, Dhabaleswar ...
SPDP
1993
IEEE
15 years 10 months ago
Extended Distributed Genetic Algorithm for Channel Routing
In this paper, we propose a new parallel genetic alge rithm (GA), called Extended Distributed Genetic Algorithm (EDGA), for channel routing problem. The EDGA combines the advantag...
B. B. Prahlada Rao, R. C. Hansdah