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» Mining Several Data Bases with an Ensemble of Classifiers
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HCI
2009
13 years 5 months ago
Ensemble SWLDA Classifiers for the P300 Speller
Abstract. The P300 Speller has proven to be an effective paradigm for braincomputer interface (BCI) communication. Using this paradigm, studies have shown that a simple linear clas...
Garett D. Johnson, Dean J. Krusienski
ISDA
2010
IEEE
13 years 5 months ago
Comparing SVM ensembles for imbalanced datasets
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
Vasudha Bhatnagar, Manju Bhardwaj, Ashish Mahabal
ISCI
2008
71views more  ISCI 2008»
13 years 7 months ago
An information granulation based data mining approach for classifying imbalanced data
Mu-Chen Chen, Long-Sheng Chen, Chun-Chin Hsu, Wei-...
MDAI
2005
Springer
14 years 1 months ago
Cancer Prediction Using Diversity-Based Ensemble Genetic Programming
Combining a set of classifiers has often been exploited to improve the classification performance. Accurate as well as diverse base classifiers are prerequisite to construct a good...
Jin-Hyuk Hong, Sung-Bae Cho
SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
14 years 22 days ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...