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» Data Mining via Support Vector Machines
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SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
15 years 9 months ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
ISSAC
2007
Springer
162views Mathematics» more  ISSAC 2007»
15 years 10 months ago
Multiprocessed parallelism support in ALDOR on SMPs and multicores
We report on a high-level categorical parallel framework, written in the Aldor language, to support high-performance computer algebra on symmetric multi-processors and multicore p...
Marc Moreno Maza, Ben Stephenson, Stephen M. Watt,...
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
15 years 11 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld
ECTEL
2008
Springer
15 years 6 months ago
Towards Accessing Disparate Educational Data in a Single, Unified Manner
Abstract. Educational researchers need to exchange and compare their learnerinteraction data in order to benefit the learning science community as a whole. In order to support this...
Erica Melis, Bruce M. McLaren, Silvana Solomon
ICML
2003
IEEE
16 years 5 months ago
Multi-Objective Programming in SVMs
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
Jinbo Bi