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» Applying Support Vector Machines to Imbalanced Datasets
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JCC
2008
117views more  JCC 2008»
14 years 11 months ago
Prediction of protein structural class using novel evolutionary collocation-based sequence representation
: Knowledge of structural classes is useful in understanding of folding patterns in proteins. Although existing structural class prediction methods applied virtually all state-of-t...
Ke Chen 0003, Lukasz A. Kurgan, Jishou Ruan
FLAIRS
2004
15 years 1 months ago
Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ZhenQiu Liu, Dechang Chen
ICIAP
2009
ACM
16 years 12 days ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 6 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
TRECVID
2007
15 years 1 months ago
IBM Research TRECVID-2007 Video Retrieval System
In this paper, we describe the IBM Research system for indexing, analysis, and retrieval of video as applied to the TREC-2007 video retrieval benchmark. This year, focus of the sy...
Murray Campbell, Alexander Haubold, Ming Liu, Apos...