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» Nonlinear functional regression: a functional RKHS approach
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ICASSP
2010
IEEE
13 years 8 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
ESWA
2006
86views more  ESWA 2006»
13 years 8 months ago
Modeling consumer acceptance probabilities
This paper investigates how to estimate the likelihood of a customer accepting a loan offer as a function of the offer parameters and how to choose the optimal set of parameters f...
L. C. Thomas, Ki Mun Jung, Steve D. Thomas, Y. Wu
CORR
2007
Springer
128views Education» more  CORR 2007»
13 years 8 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
CORR
2007
Springer
113views Education» more  CORR 2007»
13 years 8 months ago
Virtual screening with support vector machines and structure kernels
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...
Pierre Mahé, Jean-Philippe Vert
CG
2004
Springer
13 years 8 months ago
Point cloud surfaces using geometric proximity graphs
We present a new definition of an implicit surface over a noisy point cloud, based on the weighted least squares approach. It can be evaluated very fast, but artifacts are signifi...
Jan Klein, Gabriel Zachmann