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ICANN
2007
Springer
14 years 2 months ago
Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
Shigeo Abe, Kenta Onishi
ASPLOS
2006
ACM
14 years 2 months ago
Tartan: evaluating spatial computation for whole program execution
Spatial Computing (SC) has been shown to be an energy-efficient model for implementing program kernels. In this paper we explore the feasibility of using SC for more than small k...
Mahim Mishra, Timothy J. Callahan, Tiberiu Chelcea...
ECML
2006
Springer
13 years 11 months ago
Sequence Discrimination Using Phase-Type Distributions
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
Jérôme Callut, Pierre Dupont
FPL
2009
Springer
162views Hardware» more  FPL 2009»
13 years 11 months ago
Efficient particle-pair filtering for acceleration of molecular dynamics simulation
The acceleration of molecular dynamics (MD) simulations using high performance reconfigurable computing (HPRC) has been much studied. Given the intense competition from multicore...
Matt Chiu, Martin C. Herbordt
ERSA
2006
111views Hardware» more  ERSA 2006»
13 years 9 months ago
Promises and Pitfalls of Reconfigurable Supercomputing
Reconfigurable supercomputing (RSC) combines programmable logic chips with high performance microprocessors, all communicating over a high bandwidth, low latency interconnection n...
Maya Gokhale, Christopher Rickett, Justin L. Tripp...