Distributed regression: An efficient framework for modeling sensor network data

Third International Symposium on Information Processing in Sensor Networks, IPSN 2004

Volumn , Issue , 2004, Pages 1-10

  Guestrin, Carlos ^a   Bodik, Peter ^b   Thibaux, Romain ^b   Paskin, Mark ^b   Madden, Samuel ^a  

^a INTEL RESEARCH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Distributed algorithms; Machine learning; Regression; Wireless sensor networks

Indexed keywords

DISTRIBUTED ALGORITHMS; KERNEL-BASED REGRESSION; REGRESSION; WIRELESS SENSOR NETWORKS;

ALGORITHMS; COMPUTATIONAL METHODS; LEARNING SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; REGRESSION ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS); SENSOR DATA FUSION; WIRELESS TELECOMMUNICATION SYSTEMS;

DATA PROCESSING;

EID: 3042820611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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