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» Using genetic programming to obtain implicit diversity
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ICCBR
2003
Springer
14 years 26 days ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
TSP
2008
123views more  TSP 2008»
13 years 7 months ago
A Rough Programming Approach to Power-Balanced Instruction Scheduling for VLIW Digital Signal Processors
The focus of this paper is on VLIW instruction scheduling that minimizes the variation of power consumed by the processor during the execution of a target program. We use rough set...
Shu Xiao, Edmund Ming-Kit Lai
CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
14 years 2 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
MOBICOM
2004
ACM
14 years 1 months ago
Exploiting medium access diversity in rate adaptive wireless LANs
Recent years have seen the growing popularity of multi-rate wireless network devices (e.g., 802.11a cards) that can exploit variations in channel conditions and improve overall ne...
Zhengrong Ji, Yi Yang, Junlan Zhou, Mineo Takai, R...
TSMC
2002
93views more  TSMC 2002»
13 years 7 months ago
Statistical analysis of the main parameters involved in the design of a genetic algorithm
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
Ignacio Rojas, Jesús González, H&eac...