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113
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ICML
2006
IEEE
16 years 4 months ago
Permutation invariant SVMs
We extend Support Vector Machines to input spaces that are sets by ensuring that the classifier is invariant to permutations of subelements within each input. Such permutations in...
Pannagadatta K. Shivaswamy, Tony Jebara
92
Voted
NIPS
2008
15 years 5 months ago
Relative Margin Machines
In classification problems, Support Vector Machines maximize the margin of separation between two classes. While the paradigm has been successful, the solution obtained by SVMs is...
Pannagadatta K. Shivaswamy, Tony Jebara
ICTAI
2007
IEEE
15 years 10 months ago
A Probabilistic Substructure-Based Approach for Graph Classification
The classification of graph based objects is an important challenge from a knowledge discovery standpoint and has attracted considerable attention recently. In this paper, we pres...
H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jam...
129
Voted
ICDM
2009
IEEE
200views Data Mining» more  ICDM 2009»
15 years 1 months ago
Improving SVM Classification on Imbalanced Data Sets in Distance Spaces
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
Suzan Koknar-Tezel, Longin Jan Latecki
CICLING
2010
Springer
14 years 10 months ago
An Empirical Study on the Feature's Type Effect on the Automatic Classification of Arabic Documents
The Arabic language is a highly flexional and morphologically very rich language. It presents serious challenges to the automatic classification of documents, one of which is deter...
Saeed Raheel, Joseph Dichy