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» Methods for Dynamic Classifier Selection
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FUIN
2010
268views more  FUIN 2010»
13 years 3 months ago
Boruta - A System for Feature Selection
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
SISAP
2008
IEEE
115views Data Mining» more  SISAP 2008»
14 years 3 months ago
A Dynamic Pivot Selection Technique for Similarity Search
All pivot-based algorithms for similarity search use a set of reference points called pivots. The pivot-based search algorithm precomputes some distances to these reference points...
Benjamin Bustos, Oscar Pedreira, Nieves R. Brisabo...
MTA
2007
79views more  MTA 2007»
13 years 8 months ago
Periodic broadcast with dynamic server selection
Abstract—Service replication is an effective way to address resource requirements and resource availability problem. Dynamic service selection enables clients to choose a server ...
Ewa Kusmierek, Yingping Lu, David Hung-Chang Du
SEBD
2008
169views Database» more  SEBD 2008»
13 years 10 months ago
Clustering the Feature Space
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
Dino Ienco, Rosa Meo
IROS
2008
IEEE
156views Robotics» more  IROS 2008»
14 years 3 months ago
Bayesian state estimation and behavior selection for autonomous robotic exploration in dynamic environments
— In order to be truly autonomous, robots that operate in natural, populated environments must have the ability to create a model of these unpredictable dynamic environments and ...
Georgios Lidoris, Dirk Wollherr, Martin Buss