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» On the Learnability of Vector Spaces
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ICML
2006
IEEE
14 years 9 months ago
Two-dimensional solution path for support vector regression
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...
Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky
NIPS
2000
13 years 9 months ago
A Support Vector Method for Clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...
ENGL
2008
160views more  ENGL 2008»
13 years 8 months ago
Vector Approximation based Indexing for High-Dimensional Multimedia Databases
With the proliferation of multimedia data, there is an increasing need to support the indexing and searching of high-dimensional data. In this paper, we propose an efficient indexi...
Imane Daoudi, Saîd El Alaoui Ouatik, A. El K...
KAIS
2010
144views more  KAIS 2010»
13 years 7 months ago
Boosting support vector machines for imbalanced data sets
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
Benjamin X. Wang, Nathalie Japkowicz
ICPR
2006
IEEE
14 years 9 months ago
Metric tree partitioning and Taylor approximation for fast support vector classification
This paper presents a method to speed up support vector classification, especially important when data is highdimensional. Unlike previous approaches which focus on less support v...
Thang V. Pham, Arnold W. M. Smeulders