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ICPR
2008
IEEE
14 years 1 months ago
Adaptive nonstationary regression analysis
The problem of finding the most appropriate subset of features or regressors is the generic challenge of Machine Learning problems like regression estimation or pattern recognitio...
Olga Krasotkina, Vadim Mottl
CVPR
2010
IEEE
13 years 7 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
COLT
1999
Springer
13 years 11 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
MICCAI
2007
Springer
14 years 8 months ago
Statistical Shape Modeling Using MDL Incorporating Shape, Appearance, and Expert Knowledge
Abstract. We propose a highly automated approach to the point correspondence problem for anatomical shapes in medical images. Manual landmarking is performed on a small subset of t...
Aaron D. Ward, Ghassan Hamarneh
ICMLA
2007
13 years 9 months ago
Automatic medical coding of patient records via weighted ridge regression
In this paper, we apply weighted ridge regression to tackle the highly unbalanced data issue in automatic largescale ICD-9 coding of medical patient records. Since most of the ICD...
Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita...