2

Neural networks for convex hull computation

Year:
1997
Language:
english
File:
PDF, 492 KB
english, 1997
4

A new constructing auxiliary function method for global optimization

Year:
2008
Language:
english
File:
PDF, 664 KB
english, 2008
11

Reducing examples to accelerate support vector regression

Year:
2007
Language:
english
File:
PDF, 421 KB
english, 2007
12

Global optimization by an improved differential evolutionary algorithm

Year:
2007
Language:
english
File:
PDF, 199 KB
english, 2007
17

A local boosting algorithm for solving classification problems

Year:
2008
Language:
english
File:
PDF, 1.74 MB
english, 2008
18

Using Boosting to prune Double-Bagging ensembles

Year:
2009
Language:
english
File:
PDF, 1.54 MB
english, 2009
19

RotBoost: A technique for combining Rotation Forest and AdaBoost

Year:
2008
Language:
english
File:
PDF, 722 KB
english, 2008
21

A method to sparsify the solution of support vector regression

Year:
2009
Language:
english
File:
PDF, 519 KB
english, 2009
22

A method to sparsify the solution of support vector regression

Year:
2010
Language:
english
File:
PDF, 381 KB
english, 2010
23

A variant of Rotation Forest for constructing ensemble classifiers

Year:
2010
Language:
english
File:
PDF, 901 KB
english, 2010
27

A novel method for constructing ensemble classifiers

Year:
2009
Language:
english
File:
PDF, 2.66 MB
english, 2009
31

Clustering by scale-space filtering

Year:
2000
Language:
english
File:
PDF, 6.96 MB
english, 2000
33

Robust clustering by pruning outliers

Year:
2003
Language:
english
File:
PDF, 992 KB
english, 2003
36

Learning ensemble classifiers via restricted Boltzmann machines

Year:
2014
Language:
english
File:
PDF, 455 KB
english, 2014
37

Announcements

Year:
1979
Language:
english
File:
PDF, 39 KB
english, 1979
38

Label propagation through sparse neighborhood and its applications

Year:
2012
Language:
english
File:
PDF, 840 KB
english, 2012
40

A sparse-response deep belief network based on rate distortion theory

Year:
2014
Language:
english
File:
PDF, 3.84 MB
english, 2014