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MCS
2010
Springer
15 years 5 months ago
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities
Abstract. The Support Kernel Machine (SKM) and the Relevance Kernel Machine (RKM) are two principles for selectively combining objectrepresentation modalities of different kinds b...
Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, Da...
PAMI
2010
132views more  PAMI 2010»
15 years 5 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
SIGIR
2012
ACM
13 years 9 months ago
Active query selection for learning rankers
Methods that reduce the amount of labeled data needed for training have focused more on selecting which documents to label than on which queries should be labeled. One exception t...
Mustafa Bilgic, Paul N. Bennett
IFIP12
2004
15 years 8 months ago
An Agency for Semantic-Based Automatic Discovery of Web Services
With the evolution of Web service technology, services will not only become increasingly sophisticated, but also move into the area of business-to-consumer and peer-to-peer interac...
Simona Colucci, Tommaso Di Noia, Eugenio Di Sciasc...
ICIP
1995
IEEE
16 years 8 months ago
Efficient mode selection for block-based motion compensated video coding
A method for efficiently selecting the operating modes within a block-based multi-mode video compression system is described. For a given image region, the optimum combination of ...
Thomas Wiegand, Michael Lightstone, T. George Camp...