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» Regularization Methods for Additive Models
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ICML
2007
IEEE
16 years 7 months ago
Nonlinear independent component analysis with minimal nonlinear distortion
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
Kun Zhang, Laiwan Chan
IWANN
2009
Springer
16 years 1 months ago
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
ISBRA
2007
Springer
16 years 19 days ago
Wavelet Image Interpolation (WII): A Wavelet-Based Approach to Enhancement of Digital Mammography Images
Abstract. Cancer detection using mammography focuses on characteristics of tiny microcalcifications, including the number, size, and spatial arrangement of microcalcification clu...
Gordana Derado, F. DuBois Bowman, Rajan Patel, Mar...
IFM
1999
Springer
15 years 10 months ago
Retrenchment and Punctured Simulation
: Some of the shortcomings of using refinement alone as the means of passing from high level simple models to actual detailed implementations are reviewed. Retrenchment is presente...
Richard Banach, Michael Poppleton
UAI
2003
15 years 7 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...