27 search results - page 1 / 6 » Parallel Software for Training Large Scale Support Vector Ma... |
JMLR
2006
13 years 4 months ago
2006
Parallel software for solving the quadratic program arising in training support vector machines for classification problems is introduced. The software implements an iterative dec...
CORR
2008
Springer
13 years 4 months ago
2008
Springer
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
HPCA
1995
IEEE
13 years 7 months ago
1995
IEEE
Shared memory is an appealing abstraction for parallel programming. It must be implemented with caches in order toperform well, however, and caches require a coherence mechanism t...
NIPS
2004
13 years 5 months ago
2004
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...