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» Approximation by pseudo-linear operators
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GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 5 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
GIS
1999
ACM
15 years 6 months ago
A Provably Efficient Computational Model for Approximate Spatiotemporal Retrieval
: The paper is concerned with the effective and efficient processing of spatiotemporal selection queries under varying degrees of approximation. Such queries may employ operators l...
Vasilis Delis, Christos Makris, Spyros Sioutas
ASAP
2009
IEEE
119views Hardware» more  ASAP 2009»
15 years 5 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....
COR
2006
122views more  COR 2006»
15 years 1 months ago
Experimental Analysis of Approximation Algorithms for the Vertex Cover and Set Covering Problems
Several approximation algorithms with proven performance guarantees have been proposed to find approximate solutions to classical combinatorial optimization problems. However, the...
Fernando C. Gomes, Cláudio Nogueira de Mene...
ICIP
2007
IEEE
15 years 8 months ago
Locally Competitive Algorithms for Sparse Approximation
Practical sparse approximation algorithms (particularly greedy algorithms) suffer two significant drawbacks: they are difficult to implement in hardware, and they are inefficie...
Christopher J. Rozell, Don H. Johnson, Richard G. ...