Sciweavers

274 search results - page 32 / 55
» A stochastic approach to automated design improvement
Sort
View
IJCNN
2007
IEEE
16 years 12 days 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
16 years 7 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
16 years 7 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»
15 years 7 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
15 years 3 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