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» Adaptive Prototype Learning Algorithms: Theoretical and Expe...
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SAB
2004
Springer
182views Optimization» more  SAB 2004»
14 years 29 days ago
The SWARM-BOTS Project
This paper provides an overview of the SWARM-BOTS project, a robotic project sponsored by the Future and Emerging Technologies program of the European Commission. The paper illustr...
Marco Dorigo, Elio Tuci, Roderich Groß, Vito...
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
13 years 11 months ago
Bounding XCS's parameters for unbalanced datasets
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
Albert Orriols-Puig, Ester Bernadó-Mansilla
ESANN
2006
13 years 9 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...
PVLDB
2008
137views more  PVLDB 2008»
13 years 7 months ago
Flashing up the storage layer
In the near future, commodity hardware is expected to incorporate both flash and magnetic disks. In this paper we study how the storage layer of a database system can benefit from...
Ioannis Koltsidas, Stratis Viglas
CIKM
2008
Springer
13 years 9 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...