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ANNPR
2006
Springer
14 years 1 months ago
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
Yusuke Torii, Shigeo Abe
CCGRID
2001
IEEE
14 years 1 months ago
OVM: Out-of-Order Execution Parallel Virtual Machine
High performance computing on parallel architectures currently uses different approaches depending on the hardory model of the architecture, the abstraction level of the programmi...
George Bosilca, Gilles Fedak, Franck Cappello
IJON
2006
161views more  IJON 2006»
13 years 10 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao
ARTMED
1999
92views more  ARTMED 1999»
13 years 9 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
DCOSS
2010
Springer
13 years 8 months ago
Optimized Java Binary and Virtual Machine for Tiny Motes
Abstract. We have developed TakaTuka, a Java Virtual Machine optimized for tiny embedded devices such as wireless sensor motes. TakaTuka1 requires very little memory and processing...
Faisal Aslam, Luminous Fennell, Christian Schindel...