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» Experimental Design for Variable Selection in Data Bases
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MA
2010
Springer
135views Communications» more  MA 2010»
15 years 4 months ago
Nonparametric comparison of regression functions
In this work we provide a new methodology for comparing regression functions m1 and m2 from two samples. Since apart from smoothness no other (parametric) assumptions are required...
Ramidha Srihera, Winfried Stute
RTAS
2011
IEEE
14 years 10 months ago
ARCH: Practical Channel Hopping for Reliable Home-Area Sensor Networks
Abstract—Home area networks (HANs) promise to enable sophisticated home automation applications such as smart energy usage and assisted living. However, recent empirical study of...
Mo Sha, Gregory Hackmann, Chenyang Lu
MOBIQUITOUS
2005
IEEE
15 years 12 months ago
Decentralizing Query Processing in Sensor Networks
Recent research has led to the advent of software systems capable of performing query processing in sensor networks. They perform query processing in a sensor network by construct...
Ross Rosemark, Wang-Chien Lee
AUTOMATICA
2004
115views more  AUTOMATICA 2004»
15 years 6 months ago
An adaptive algorithm for control of combustion instability
We propose an adaptive algorithm for control of combustion instability suitable for reduction of acoustic pressure oscillations in gas turbine engines, and main burners and augmen...
Andrzej Banaszuk, Kartik B. Ariyur, Miroslav Krsti...
KDD
2012
ACM
199views Data Mining» more  KDD 2012»
13 years 8 months ago
Trustworthy online controlled experiments: five puzzling outcomes explained
Online controlled experiments are often utilized to make datadriven decisions at Amazon, Microsoft, eBay, Facebook, Google, Yahoo, Zynga, and at many other companies. While the th...
Ron Kohavi, Alex Deng, Brian Frasca, Roger Longbot...