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» A New Statistical Optimization Algorithm for Gate Sizing
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ICML
2006
IEEE
16 years 3 months ago
A statistical approach to rule learning
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
Stefan Kramer, Ulrich Rückert
92
Voted
ICCAD
2004
IEEE
114views Hardware» more  ICCAD 2004»
15 years 11 months ago
Simultaneous short-path and long-path timing optimization for FPGAs
This paper presents the Routing Cost Valleys (RCV) algorithm – the first published algorithm that simultaneously optimizes all short- and long-path timing constraints in a Field...
Ryan Fung, Vaughn Betz, William Chow
127
Voted
SAC
2011
ACM
14 years 9 months ago
A quasi-Newton acceleration for high-dimensional optimization algorithms
Abstract In many statistical problems, maximum likelihood estimation by an EM or MM algorithm suffers from excruciatingly slow convergence. This tendency limits the application of ...
Hua Zhou, David Alexander, Kenneth Lange
127
Voted
ICCAD
1995
IEEE
134views Hardware» more  ICCAD 1995»
15 years 6 months ago
A delay model for logic synthesis of continuously-sized networks
ng certain electrical noise and power constraints.Abstract: We present a new delay model for use in logic synthesis. A traditional model treats the area of a library cell as consta...
Joel Grodstein, Eric Lehman, Heather Harkness, Bil...
161
Voted
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 6 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato