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» Maximal Vector Computation in Large Data Sets
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NECO
2007
90views more  NECO 2007»
13 years 8 months ago
Neighborhood Property-Based Pattern Selection for Support Vector Machines
Support Vector Machine (SVM) has been spotlighted in the machine learning community thanks to its theoretical soundness and practical performance. When applied to a large data set...
Hyunjung Shin, Sungzoon Cho
EMMCVPR
2003
Springer
14 years 2 months ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero
TNN
2010
159views Management» more  TNN 2010»
13 years 3 months ago
Multiple incremental decremental learning of support vector machines
We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
Masayuki Karasuyama, Ichiro Takeuchi
JUCS
2008
140views more  JUCS 2008»
13 years 9 months ago
The Computable Multi-Functions on Multi-represented Sets are Closed under Programming
: In the representation approach to computable analysis (TTE) [Grz55, i00], abstract data like rational numbers, real numbers, compact sets or continuous real functions are represe...
Klaus Weihrauch
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 9 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...