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ICCAD
2003
IEEE
99views Hardware» more  ICCAD 2003»
15 years 9 months ago
A Probabilistic Approach to Buffer Insertion
This work presents a formal probabilistic approach for solving optimization problems in design automation. Prediction accuracy is very low especially at high levels of design flo...
Vishal Khandelwal, Azadeh Davoodi, Akash Nanavati,...
CORR
2012
Springer
214views Education» more  CORR 2012»
14 years 5 days ago
Stochastic Low-Rank Kernel Learning for Regression
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
Pierre Machart, Thomas Peel, Liva Ralaivola, Sandr...
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
15 years 9 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
ICCD
2004
IEEE
106views Hardware» more  ICCD 2004»
16 years 1 months ago
A New Statistical Optimization Algorithm for Gate Sizing
— In this paper, we approach the gate sizing problem in VLSI circuits in the context of increasing variability of process and circuit parameters as technology scales into the nan...
Murari Mani, Michael Orshansky
COMCOM
2010
95views more  COMCOM 2010»
15 years 3 months ago
Trading link utilization for queueing delays: An adaptive approach
Understanding the relationship between queueing delays and link utilization for general traffic conditions is an important open problem in networking research. Difficulties in und...
Rade Stanojevic, Robert Shorten