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» Empirical comparisons of various voting methods in bagging
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APBC
2003
116views Bioinformatics» more  APBC 2003»
13 years 6 months ago
An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics
Research in bioinformatics is driven by the experimental data. Current biological databases are populated by vast amounts of experimental data. Machine learning has been widely ap...
Aik Choon Tan, David Gilbert
JCC
2011
109views more  JCC 2011»
12 years 8 months ago
VoteDock: Consensus docking method for prediction of protein-ligand interactions
: Molecular recognition plays a fundamental role in all biological processes, and that is why great efforts have been made to understand and predict protein–ligand interactions. ...
Dariusz Plewczynski, Michal Lazniewski, Marcin von...
BMCBI
2010
224views more  BMCBI 2010»
13 years 5 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
CODES
2001
IEEE
13 years 9 months ago
Empirical comparison of software-based error detection and correction techniques for embedded systems
"Function Tokens" and "NOP Fills" are two methods proposed by various authors to deal with Instruction Pointer corruption in microcontrollers, especially in th...
Royan H. L. Ong, Michael J. Pont
EC
2000
187views ECommerce» more  EC 2000»
13 years 5 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele