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» A stochastic approach to automated design improvement
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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
DAC
2007
ACM
14 years 8 months ago
Fast Min-Cost Buffer Insertion under Process Variations
Process variation has become a critical problem in modern VLSI fabrication. In the presence of process variation, buffer insertion problem under performance constraints becomes mo...
Ruiming Chen, Hai Zhou
DAC
2002
ACM
14 years 8 months ago
A general probabilistic framework for worst case timing analysis
CT The traditional approach to worst-case static-timing analysis is becoming unacceptably conservative due to an ever-increasing number of circuit and process effects. We propose a...
Michael Orshansky, Kurt Keutzer
DSML
2008
116views Formal Methods» more  DSML 2008»
13 years 9 months ago
Bidirectional Synchronization of Multiple Views of Software Models
: Current best-practices for defining Domain-Specific Modeling Languages call for metamodeling techniques, which do not take into account the future use of such languages in multiv...
Miguel Garcia
ICMLA
2009
13 years 5 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson