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» Applying Learning by Examples for Digital Design Automation
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IJCNN
2007
IEEE
14 years 1 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
ICCD
1995
IEEE
83views Hardware» more  ICCD 1995»
13 years 11 months ago
Concurrent timing optimization of latch-based digital systems
Many design techniques have been proposed to optimize the performance of a digital system implemented in a given technology. Each of these techniques can be advantageous in partic...
Hong-Yean Hsieh, Wentai Liu, Ralph K. Cavin III, C...
SAC
2005
ACM
14 years 1 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
EMSOFT
2010
Springer
13 years 4 months ago
Components, platforms and possibilities: towards generic automation for MDA
Model-driven architecture (MDA) is a model-based approach for engineering complex software systems. MDA is particularly attractive for designing embedded systems because models ca...
Ethan K. Jackson, Eunsuk Kang, Markus Dahlweid, Di...
IRI
2007
IEEE
14 years 1 months ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin