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» Selecting for evolvable representations
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AHS
2007
IEEE
253views Hardware» more  AHS 2007»
15 years 4 months ago
evolFIR: Evolving redundancy-free FIR structures
Finite impulse response (FIR) structures are the most commonly used digital filters and can be found in various areas of everyday life. In this paper we introduce a novel approac...
Szilvia Zvada, Gabriella Kókai, Róbe...
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 10 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
BLISS
2008
IEEE
15 years 4 months ago
Effecting an Improvement to the Fitness Function. How to Evolve a More Identifiable Face
Constructing the face of a criminal from the selection of individual facial parts is a hard task. We have been working on a new system called EvoFIT that involves the selection an...
Charlie D. Frowd, Joanne Park, Alex H. McIntyre, V...
ER
2001
Springer
136views Database» more  ER 2001»
15 years 2 months ago
A Randomized Approach for the Incremental Design of an Evolving Data Warehouse
A Data Warehouse (DW) can be used to integrate data from multiple distributed data sources. A DW can be seen as a set of materialized views that determine its schema and its conten...
Dimitri Theodoratos, Theodore Dalamagas, Alkis Sim...
65
Voted
DAC
2000
ACM
15 years 11 months ago
The use of carry-save representation in joint module selection and retiming
Joint module selection and retiming is a powerful technique to optimize the implementation cost and the speed of a circuit specified using a synchronous data-flow graph (DFG). In ...
Zhan Yu, Kei-Yong Khoo, Alan N. Willson Jr.