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MSO
2003
13 years 6 months ago
Advanced Nonlinear Modelling Techniques for Switched Reluctance Machines
Frederik D'hulster, Kurt Stockman, Jan Desmet, Ron...
ML
2002
ACM
163views Machine Learning» more  ML 2002»
13 years 4 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
HPCA
2008
IEEE
14 years 5 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
ISPASS
2006
IEEE
13 years 11 months ago
Modeling TCAM power for next generation network devices
Applications in Computer Networks often require high throughput access to large data structures for lookup and classification. Many advanced algorithms exist to speed these searc...
Banit Agrawal, Timothy Sherwood
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
13 years 11 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar