545 search results - page 42 / 109 » Support Vector Regression Using Mahalanobis Kernels |
105
Voted
AAAI
2004
15 years 3 months ago
2004
There has been a recent swell of interest in the automatic identification and extraction of opinions and emotions in text. In this paper, we present the first experimental results...
NIPS
2003
15 years 3 months ago
2003
A recent area of significant progress in speaker recognition is the use of high level features—idiolect, phonetic relations, prosody, discourse structure, etc. A speaker not on...
134
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ICML
2006
IEEE
15 years 8 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
106
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NIPS
2000
15 years 3 months ago
2000
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...
147
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SCHOLARPEDIA
2008
15 years 25 days 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...