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CIRA
2007
IEEE
147views Robotics» more  CIRA 2007»
15 years 6 months ago
Local Online Support Vector Regression for Learning Control
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
Younggeun Choi, Shin-Young Cheong, Nicolas Schweig...
SAC
2005
ACM
15 years 5 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
JMLR
2010
115views more  JMLR 2010»
14 years 6 months ago
Fast and Scalable Local Kernel Machines
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
Nicola Segata, Enrico Blanzieri
IPPS
1999
IEEE
15 years 4 months ago
Hyperplane Partitioning: An Approach to Global Data Partitioning for Distributed Memory Machines
Automatic Global Data Partitioning for Distributed Memory Machines DMMs is a di cult problem. In this work, we present a partitioning strategy called 'Hyperplane Partitioning...
S. R. Prakash, Y. N. Srikant
CONCURRENCY
2002
112views more  CONCURRENCY 2002»
14 years 11 months ago
An analysis of VI Architecture primitives in support of parallel and distributed communication
We present the results of a detailed study of the Virtual Interface (VI) paradigm as a communication foundation for a distributed computing environment. Using Active Messages and ...
Andrew Begel, Philip Buonadonna, David E. Culler, ...