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HIS
2008
13 years 9 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
BMCBI
2006
92views more  BMCBI 2006»
13 years 8 months ago
Recrafting the neighbor-joining method
Background: The neighbor-joining method by Saitou and Nei is a widely used method for constructing phylogenetic trees. The formulation of the method gives rise to a canonical (n3)...
Thomas Mailund, Gerth Stølting Brodal, Rolf...
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
14 years 9 months ago
XML Prefiltering as a String Matching Problem
We propose a new technique for the efficient search and navigation in XML documents and streams. This technique takes string matching algorithms designed for efficient keyword sear...
Christoph Koch, Stefanie Scherzinger, Michael Schm...
GECCO
2006
Springer
174views Optimization» more  GECCO 2006»
13 years 11 months ago
On the analysis of the (1+1) memetic algorithm
Memetic algorithms are evolutionary algorithms incorporating local search to increase exploitation. This hybridization has been fruitful in countless applications. However, theory...
Dirk Sudholt
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
14 years 5 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee