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CSSC
2008
77views more  CSSC 2008»
13 years 7 months ago
Undercoverage of Wavelet-Based Resampling Confidence Intervals
The decorrelating property of the discrete wavelet transformation (DWT) appears valuable because one can avoid estimating the correlation structure in the original data space by b...
Liansheng Tang, Wayne A. Woodward, William R. Schu...
WCE
2007
13 years 8 months ago
Statistical Analysis for Activity-Based Software Estimation using Regression Approach
Application Service Maintenance(ASM) projects mainly use Activity-Based software estimation methodology compared to Function Point or Lines of Code Estimation methodologies[1]. Th...
M. J. Basavaraj, K. C. Shet
DCG
2008
86views more  DCG 2008»
13 years 7 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 ...
RSS
2007
151views Robotics» more  RSS 2007»
13 years 9 months ago
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
— Three-dimensional digital terrain models are of fundamental importance in many areas such as the geo-sciences and outdoor robotics. Accurate modeling requires the ability to de...
Tobias Lang, Christian Plagemann, Wolfram Burgard
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
14 years 1 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli