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ICPR
2006
IEEE
14 years 9 months ago
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
Kap Luk Chan, Peng Li, Wen Fang
ICPR
2010
IEEE
14 years 1 months ago
On the Scalability of Evidence Accumulation Clustering
Abstract—This work focuses on the scalability of the Evidence Accumulation Clustering (EAC) method. We first address the space complexity of the co-association matrix. The spars...
André Lourenço, Ana Luisa Nobre Fred, Anil Jain
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
14 years 25 days ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
AAAI
2011
12 years 8 months ago
Exploiting Phase Transition in Latent Networks for Clustering
In this paper, we model the pair-wise similarities of a set of documents as a weighted network with a single cutoff parameter. Such a network can be thought of an ensemble of unwe...
Vahed Qazvinian, Dragomir R. Radev
DEXAW
1999
IEEE
97views Database» more  DEXAW 1999»
14 years 10 days ago
Mining Several Data Bases with an Ensemble of Classifiers
The results of knowledge discovery in databases could vary depending on the data mining method. There are several ways to select the most appropriate data mining method dynamicall...
Seppo Puuronen, Vagan Y. Terziyan, Alexander Logvi...