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» On an Optimization Problem in Sensor Selection*
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91
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AAAI
2012
13 years 19 days ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
ADHOC
2006
97views more  ADHOC 2006»
14 years 10 months ago
A probabilistic algorithm for efficient and robust data propagation in wireless sensor networks
We study the problem of data propagation in sensor networks, comprised of a large number of very small and low-cost nodes, capable of sensing, communicating and computing. The dis...
Ioannis Chatzigiannakis, Tassos Dimitriou, Sotiris...
75
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ADHOC
2010
292views more  ADHOC 2010»
14 years 10 months ago
Sleep/wake scheduling for multi-hop sensor networks: Non-convexity and approximation algorithm
We investigate the problem of sleep/wake scheduling for low duty cycle sensor networks. Our work differs from prior work in that we explicitly consider the effect of synchronizati...
Yan Wu, Sonia Fahmy, Ness B. Shroff
202
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VLDB
2005
ACM
149views Database» more  VLDB 2005»
15 years 10 months ago
Selectivity estimators for multidimensional range queries over real attributes
Estimating the selectivity of multidimensional range queries over real valued attributes has significant applications in data exploration and database query optimization. In this p...
Dimitrios Gunopulos, George Kollios, Vassilis J. T...
UAI
2004
14 years 11 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner