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CIRA
2007
IEEE
147views Robotics» more  CIRA 2007»
15 years 4 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 3 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 4 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 2 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 9 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, ...