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» Using Machine Learning to Guide Architecture Simulation
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IJCNN
2007
IEEE
14 years 2 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
ICALT
2008
IEEE
14 years 2 months ago
Learning to Teach Sports to Handicapped People Using Games
Nowadays most universities use different distance learning environments. However in the educational process besides forums, chats and other collaborative possibilities the content...
David Bueno, Jose Chacon, Cristina Carmona
ESWA
2006
122views more  ESWA 2006»
13 years 8 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
CONPAR
1994
14 years 1 days ago
The Rewrite Rule Machine Node Architecture and Its Performance
The Rewrite Rule Machine (RRM) is a massively parallel MIMD/SIMD computer designed with the explicit purpose of supporting veryhigh-level parallel programming with rewrite rules. T...
Patrick Lincoln, José Meseguer, Livio Ricci...
DAC
1996
ACM
14 years 2 days ago
Symphony: A Simulation Backplane for Parallel Mixed-Mode Co-Simulation of VLSI Systems
In this paper we present an integrated simulation paradigm in which parallel mixed-mode co-simulation is accomplished by integrating sequential simulators in a software simulation ...
Antonio R. W. Todesco, Teresa H. Y. Meng