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» On the Noise Model of Support Vector Machines Regression
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NN
2007
Springer
106views Neural Networks» more  NN 2007»
13 years 8 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
ICMLA
2007
13 years 10 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...
TASLP
2008
131views more  TASLP 2008»
13 years 9 months ago
A Noise-Robust FFT-Based Auditory Spectrum With Application in Audio Classification
In this paper, we investigate the noise robustness of Wang and Shamma's early auditory (EA) model for the calculation of an auditory spectrum in audio classification applicati...
Wei Chu, B. Champagne
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
14 years 2 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
DATE
2005
IEEE
114views Hardware» more  DATE 2005»
14 years 2 months ago
A Two-Level Modeling Approach to Analog Circuit Performance Macromodeling
In this paper, we present a two-level modeling approach to performance macromodeling based on radial basis function Support Vector Machine (SVM). The two-level model consists of a...
Mengmeng Ding, Ranga Vemuri