2033 search results - page 107 / 407 » Semi-Supervised Support Vector Machines |
117
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ICDM
2007
IEEE
15 years 10 months ago
2007
IEEE
Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector tec...
144
Voted
ACCV
2010
Springer
14 years 10 months ago
2010
Springer
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structu...
169
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SCHOLARPEDIA
2008
15 years 2 months ago
2008
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...
116
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CIRA
2007
IEEE
15 years 10 months ago
2007
IEEE
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
132
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MCS
2007
Springer
15 years 9 months ago
2007
Springer
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...