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» Improving the aggregating algorithm for regression
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EUROMICRO
2004
IEEE
14 years 15 days ago
Determination of Aggregation Points in Wireless Sensor Networks
A primary goal in the design of wireless sensor networks is lifetime maximization, constrained by the energy capacity of batteries. One well known method to reduce energy consumpt...
Utz Roedig, André M. Barroso, Cormac J. Sre...
DAC
2004
ACM
14 years 16 days ago
Probabilistic regression suites for functional verification
Random test generators are often used to create regression suites on-the-fly. Regression suites are commonly generated by choosing several specifications and generating a number o...
Shai Fine, Shmuel Ur, Avi Ziv
KES
2006
Springer
13 years 8 months ago
Sensor Network Localization Using Least Squares Kernel Regression
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...
Anthony Kuh, Chaopin Zhu, Danilo P. Mandic
DCG
2008
86views more  DCG 2008»
13 years 8 months ago
Efficient Algorithms for Maximum Regression Depth
We investigate algorithmic questions that arise in the statistical problem of computing lines or hyperplanes of maximum regression depth among a set of n points. We work primarily...
Marc J. van Kreveld, Joseph S. B. Mitchell, Peter ...
JMLR
2002
106views more  JMLR 2002»
13 years 8 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...