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» Dynamically Adapting Kernels in Support Vector Machines
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ICONIP
2004
15 years 5 months ago
Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs
This paper contrasts three related regularization schemes for kernel machines using a least squares criterion, namely Tikhonov and Ivanov regularization and Morozov's discrepa...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
120
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IPPS
2005
IEEE
15 years 9 months ago
The SDVM - An Approach for Future Adaptive Computer Clusters
The Self Distributing Virtual Machine (SDVM) is a parallel computing machine which consists of a cluster of customary computers. The participating machines may have different comp...
Jan Haase, Frank Eschmann, Klaus Waldschmidt
154
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PR
2006
111views more  PR 2006»
15 years 3 months ago
An adaptive error penalization method for training an efficient and generalized SVM
A novel training method has been proposed for increasing efficiency and generalization of support vector machine (SVM). The efficiency of SVM in classification is directly determi...
Yiqiang Zhan, Dinggang Shen
108
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ACL
2010
15 years 1 months ago
A Study of Information Retrieval Weighting Schemes for Sentiment Analysis
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated fea...
Georgios Paltoglou, Mike Thelwall
149
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JVM
2004
133views Education» more  JVM 2004»
15 years 5 months ago
Towards Virtual Networks for Virtual Machine Grid Computing
Virtual machines can greatly simplify wide-area discomputing by lowering the level of abstraction to the benefit of both resource providers and users. Networking, however, can be ...
Ananth I. Sundararaj, Peter A. Dinda