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» Benchmarking Data Mining Algorithms
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ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
16 years 1 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
16 years 22 days ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 8 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
MOBICOM
2006
ACM
16 years 11 days ago
Routing algorithms for delay-insensitive and delay-sensitive applications in underwater sensor networks
Underwater sensor networks consist of sensors and vehicles deployed to perform collaborative monitoring tasks over a given region. Underwater sensor networks will find applicatio...
Dario Pompili, Tommaso Melodia, Ian F. Akyildiz
MCS
2004
Springer
15 years 11 months ago
Learn++.MT: A New Approach to Incremental Learning
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar