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» Regression with the optimised combination technique
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AADEBUG
1997
Springer
13 years 9 months ago
Debugging Optimised Code Using Function Interpretation
Previously the debugging of optimised code has not been possible without recompiling the executable code and preventing the use of code optimisation techniques. Although current r...
Kim Elms
IJON
2010
109views more  IJON 2010»
13 years 4 days ago
Variational inference for Student-t MLP models
This paper presents a novel methodology to infer parameters of probabilistic models whose output noise is a Student-t distribution. The method is an extension of earlier work for ...
Hang T. Nguyen, Ian T. Nabney
ICIP
2007
IEEE
14 years 7 months ago
Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
Karl S. Ni, Truong Q. Nguyen
ESANN
2000
13 years 6 months ago
Algorithmic approaches to training Support Vector Machines: a survey
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
Colin Campbell
FLAIRS
2004
13 years 6 months ago
Random Subspacing for Regression Ensembles
In this work we present a novel approach to ensemble learning for regression models, by combining the ensemble generation technique of random subspace method with the ensemble int...
Niall Rooney, David W. Patterson, Sarab S. Anand, ...