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» Multiple-Instance Regression with Structured Data
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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...
AAAI
2008
13 years 10 months ago
Constrained Classification on Structured Data
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner...
DAGM
2010
Springer
13 years 8 months ago
Local Regression Based Statistical Model Fitting
Fitting statistical models is a widely employed technique for the segmentation of medical images. While this approach gives impressive results for simple structures, shape models a...
Matthias Amberg, Marcel Lüthi, Thomas Vetter
MCS
2008
Springer
13 years 7 months ago
Detecting multiple mean breaks at unknown points in official time series
In this paper, we propose a computationally effective approach to detect multiple structural breaks in the mean occurring at unknown dates. We present a non-parametric approach th...
Carmela Cappelli, Richard N. Penny, William S. Rea...
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