1118 search results - page 137 / 224 » Data Mining via Support Vector Machines |
BMCBI
2011
14 years 1 months ago
2011
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
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TON
2010
14 years 4 months ago
2010
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
COLING
2008
14 years 11 months ago
2008
We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...
SSPR
2004
Springer
15 years 3 months ago
2004
Springer
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
CORR
2007
Springer
14 years 10 months ago
2007
Springer
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...