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169
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GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 8 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
GIS
2010
ACM
15 years 3 months ago
A case for time-dependent shortest path computation in spatial networks
The problem of point-to-point shortest path computation in spatial networks is extensively studied with many approaches proposed to speed-up the computation. Most of the existing ...
Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Sh...
SIGIR
2002
ACM
15 years 4 months ago
Probabilistic combination of text classifiers using reliability indicators: models and results
The intuition that different text classifiers behave in qualitatively different ways has long motivated attempts to build a better metaclassifier via some combination of classifie...
Paul N. Bennett, Susan T. Dumais, Eric Horvitz
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
15 years 11 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
158
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TCSV
2008
313views more  TCSV 2008»
15 years 4 months ago
Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features
Efficiently and accurately detecting pedestrians plays a very important role in many computer vision applications such as video surveillance and smart cars. In order to find the ri...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...