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HAIS
2011
Springer
13 years 1 months ago
Clustering Ensemble for Spam Filtering
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...
Santiago Porras, Bruno Baruque, Belén Vaque...
IDEAL
2000
Springer
14 years 1 months ago
Observational Learning with Modular Networks
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
SODA
2000
ACM
125views Algorithms» more  SODA 2000»
13 years 11 months ago
Approximation algorithms for projective clustering
We consider the following two instances of the projective clustering problem: Given a set
Pankaj K. Agarwal, Cecilia Magdalena Procopiuc
BMCBI
2010
154views more  BMCBI 2010»
13 years 10 months ago
Binary image representation of a ligand binding site: its application to efficient sampling of a conformational ensemble
Background: Modelling the ligand binding site of a protein is an important component of understanding proteinligand interactions and is being actively studied. Even if the side ch...
Edon Sung, Sangsoo Kim, Whanchul Shin
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 10 months ago
A highly-usable projected clustering algorithm for gene expression profiles
Projected clustering has become a hot research topic due to its ability to cluster high-dimensional data. However, most existing projected clustering algorithms depend on some cri...
Kevin Y. Yip, David W. Cheung, Michael K. Ng