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PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
14 years 1 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
BMCBI
2006
190views more  BMCBI 2006»
13 years 7 months ago
SNPs3D: Candidate gene and SNP selection for association studies
Background: The relationship between disease susceptibility and genetic variation is complex, and many different types of data are relevant. We describe a web resource and databas...
Peng Yue, Eugene Melamud, John Moult
TSP
2008
132views more  TSP 2008»
13 years 6 months ago
On Doubly Selective Channel Estimation Using Superimposed Training and Discrete Prolate Spheroidal Sequences
Abstract--Channel estimation and data detection for frequencyselective time-varying channels are considered using superimposed training. We employ a discrete prolate spheroidal bas...
Shuangchi He, Jitendra K. Tugnait
PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
14 years 1 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
ICAPR
2005
Springer
14 years 1 months ago
3D Model Retrieval Based on Adaptive Views Clustering
In this paper, we propose a method for 3D model indexing based on 2D views, named AVC (Adaptive Views Clustering). The goal of this method is to provide an optimal selection of 2D ...
Tarik Filali Ansary, Mohamed Daoudi, Jean-Philippe...