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PKDD
2009
Springer
146views Data Mining» more  PKDD 2009»
15 years 6 months ago
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
Eva Besada-Portas, Sergey M. Plis, Jesús Ma...
173
Voted
TMC
2008
164views more  TMC 2008»
15 years 2 months ago
Coupons: A Multilevel Incentive Scheme for Information Dissemination in Mobile Networks
Integrating mobile computing and localized user interaction into the Internet requires more than simply overcoming pure routing challenges. Apart from issues such as intermittent c...
Anargyros Garyfalos, Kevin C. Almeroth
133
Voted
INFOCOM
2007
IEEE
15 years 8 months ago
Optimal Policies for Distributed Data Aggregation in Wireless Sensor Networks
Abstract— We consider the scenario of distributed data aggregation in wireless sensor networks, where each sensor can obtain and estimate the information of the whole sensing fi...
Zhenzhen Ye, Alhussein A. Abouzeid, Jing Ai
126
Voted
CISS
2010
IEEE
14 years 5 months ago
Cost constrained spectrum sensing in cognitive radio networks
—This paper addresses optimal spectrum sensing in cognitive radio networks considering its system level cost that accounts for the local processing cost of sensing (sample collec...
Gang Xiong, Shalinee Kishore, Aylin Yener
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 5 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic