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ICMLA
2007
15 years 13 days ago
Modifying kernels using label information improves SVM classification performance
Martin Renqiang Min, Anthony J. Bonner, Zhaolei Zh...
ICPR
2008
IEEE
16 years 6 days ago
Combining content and structure similarity for XML document classification using composite SVM kernels
Combination of structure and content features is necessary for effective retrieval and classification of XML documents. Composite kernels provide a way for fusion of content and s...
Pabitra Mitra, Saptarshi Ghosh
NIPS
2004
15 years 12 days ago
A Topographic Support Vector Machine: Classification Using Local Label Configurations
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
Johannes Mohr, Klaus Obermayer
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 5 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
ICFCA
2009
Springer
14 years 8 months ago
A Concept Lattice-Based Kernel for SVM Text Classification
Abstract. Standard Support Vector Machines (SVM) text classification relies on bag-of-words kernel to express the similarity between documents. We show that a document lattice can ...
Claudio Carpineto, Carla Michini, Raffaele Nicolus...