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» An Empirical Evaluation of LFG-DOP
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ICML
2008
IEEE
16 years 2 months ago
Optimized cutting plane algorithm for support vector machines
We have developed a new Linear Support Vector Machine (SVM) training algorithm called OCAS. Its computational effort scales linearly with the sample size. In an extensive empirica...
Sören Sonnenburg, Vojtech Franc
RECOMB
2007
Springer
16 years 1 months ago
Support Vector Training of Protein Alignment Models
Abstract. Sequence to structure alignment is an important step in homology modeling of protein structures. Incorporation of features like secondary structure, solvent accessibility...
Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Ja...
ICCD
2001
IEEE
103views Hardware» more  ICCD 2001»
15 years 10 months ago
Fixed-outline Floorplanning through Better Local Search
Classical floorplanning minimizes a linear combination of area and wirelength. When Simulated Annealing is used, e.g., with the Sequence Pair representation, the typical choice o...
Saurabh N. Adya, Igor L. Markov
IJCNN
2006
IEEE
15 years 7 months ago
Semi-Supervised Model Selection Based on Cross-Validation
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
Matti Kaariainen
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
15 years 7 months ago
Backward-chaining genetic programming
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
Riccardo Poli, William B. Langdon