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» The Kernel Least-Mean-Square Algorithm
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126
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IPPS
2008
IEEE
15 years 10 months ago
Programmability of the HPCS Languages: A case study with a quantum chemistry kernel
As high-end computer systems present users with rapidly increasing numbers of processors, possibly also incorporating attached co-processors, programmers are increasingly challeng...
Aniruddha G. Shet, Wael R. Elwasif, Robert J. Harr...
ICISP
2010
Springer
15 years 8 months ago
Classification of High-Resolution NMR Spectra Based on Complex Wavelet Domain Feature Selection and Kernel-Induced Random Forest
High-resolution nuclear magnetic resonance (NMR) spectra contain important biomarkers that have potentials for early diagnosis of disease and subsequent monitoring of its progressi...
Guangzhe Fan, Zhou Wang, Seoung Bum Kim, Chivalai ...
117
Voted
FCCM
1997
IEEE
118views VLSI» more  FCCM 1997»
15 years 7 months ago
Computing kernels implemented with a wormhole RTR CCM
The Wormhole Run-Time Reconfiguration (RTR) computing paradigm is a method for creating high performance computational pipelines. The scalability, distributed control and data pow...
Ray Bittner, Peter M. Athanas
RECOMB
2005
Springer
16 years 3 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
129
Voted
ECML
2005
Springer
15 years 9 months ago
Kernel Basis Pursuit
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
Vincent Guigue, Alain Rakotomamonjy, Stépha...