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» Computational Efficiency of Batching Methods
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NIPS
2001
13 years 10 months ago
Online Learning with Kernels
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
SIGMOD
2007
ACM
219views Database» more  SIGMOD 2007»
14 years 9 months ago
Efficient exploitation of similar subexpressions for query processing
Complex queries often contain common or similar subexpressions, either within a single query or among multiple queries submitted as a batch. If so, query execution time can be imp...
Jingren Zhou, Johann Christoph Freytag, Per-Å...
MOBISYS
2006
ACM
14 years 8 months ago
Efficient and transparent dynamic content updates for mobile clients
We introduce a novel infrastructure supporting automatic updates for dynamic content browsing on resource constrained mobile devices. Currently, the client is forced to continuous...
Trevor Armstrong, Olivier Trescases, Cristiana Amz...
ICML
2003
IEEE
14 years 9 months ago
Incorporating Diversity in Active Learning with Support Vector Machines
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
Klaus Brinker
ICPR
2008
IEEE
14 years 3 months ago
Analysis of efficient lip reading method for various languages
Takeshi Saitoh, Kazutoshi Morishita, Ryosuke Konis...