976 search results - page 69 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
149
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ACL
2008
15 years 7 months ago
2008
Natural Language Processing (NLP) for Information Retrieval has always been an interesting and challenging research area. Despite the high expectations, most of the results indica...
161
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
158
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TRECVID
2008
15 years 7 months ago
2008
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
160
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PPSN
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Taking inspiration from approximate ranking, this paper investigates the use of rank-based Support Vector Machine as surrogate model within CMA-ES, enforcing the invarian...
135
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NIPS
2001
15 years 7 months ago
2001
This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are usually decomposed into many two-class problems but the...