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FUIN
2010
268views more  FUIN 2010»
14 years 11 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...
152
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SENSYS
2003
ACM
15 years 10 months ago
CODA: congestion detection and avoidance in sensor networks
Event-driven sensor networks operate under an idle or light load and then suddenly become active in response to a detected or monitored event. The transport of event impulses is l...
Chieh-Yih Wan, Shane B. Eisenman, Andrew T. Campbe...
WEA
2007
Springer
97views Algorithms» more  WEA 2007»
15 years 11 months ago
Experimental Evaluations of Algorithms for IP Table Minimization
Abstract. The continuous growth of the routing tables sizes in backbone routers is one of the most compelling scaling problems affecting the Internet and has originated considerab...
Angelo Fanelli, Michele Flammini, Domenico Mango, ...
INFOCOM
2003
IEEE
15 years 10 months ago
Pseudo Likelihood Estimation in Network Tomography
Abstract— Network monitoring and diagnosis are key to improving network performance. The difficulties of performance monitoring lie in today’s fast growing Internet, accompani...
Gang Liang, Bin Yu
AAAI
2008
15 years 7 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong