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FUZZIEEE
2007
IEEE
16 years 27 days ago
Fuzzy Approximation for Convergent Model-Based Reinforcement Learning
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
ASAP
2009
IEEE
119views Hardware» more  ASAP 2009»
15 years 10 months ago
A Low Power High Performance Radix-4 Approximate Squaring Circuit
An implementation of a radix-4 approximate squaring circuit is described employing a new operand dual recoding technique. Approximate squaring circuits have numerous applications ...
Satyendra R. Datla, Mitchell A. Thornton, David W....
EDBT
2008
ACM
160views Database» more  EDBT 2008»
16 years 6 months ago
Why go logarithmic if we can go linear?: Towards effective distinct counting of search traffic
Estimating the number of distinct elements in a large multiset has several applications, and hence has attracted active research in the past two decades. Several sampling and sket...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
DCC
2003
IEEE
16 years 6 months ago
Linear Programming Optimization for Video Coding under Multiple Constraints
This paper introduces a linear programming (LP) technique that performs ratedistortion based optimization for constrained video coding. Given the assumption of piecewise linear an...
Yegnaswamy Sermadevi, Sheila S. Hemami
ICCAD
2001
IEEE
111views Hardware» more  ICCAD 2001»
16 years 3 months ago
A Trajectory Piecewise-Linear Approach to Model Order Reduction and Fast Simulation of Nonlinear Circuits and Micromachined Devi
—In this paper, we present an approach to nonlinear model reduction based on representing a nonlinear system with a piecewise-linear system and then reducing each of the pieces w...
Michal Rewienski, Jacob White