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» Experiments with a New Boosting Algorithm
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SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
15 years 6 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison
157
Voted
IIS
2004
15 years 6 months ago
Conceptual Clustering Using Lingo Algorithm: Evaluation on Open Directory Project Data
Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search hits list, returned from a search engine. In this paper we present t...
Stanislaw Osinski, Dawid Weiss
JGAA
2006
72views more  JGAA 2006»
15 years 4 months ago
A Multilevel Algorithm for the Minimum 2-sum Problem
In this paper we introduce a direct motivation for solving the minimum 2-sum problem, for which we present a linear-time algorithm inspired by the Algebraic Multigrid approach whi...
Ilya Safro, Dorit Ron, Achi Brandt
TKDE
2008
94views more  TKDE 2008»
15 years 4 months ago
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm
In this paper, we present a new tree mining algorithm, DRYADEPARENT, based on the hooking principle first introduced in DRYADE. In the experiments, we demonstrate that the branchin...
Alexandre Termier, Marie-Christine Rousset, Mich&e...
ICASSP
2011
IEEE
14 years 8 months ago
Feature selection through gravitational search algorithm
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
João Paulo Papa, Andre Pagnin, Silvana Arti...