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ESANN
2008
15 years 5 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
132
Voted
NIPS
2008
15 years 5 months ago
On the Generalization Ability of Online Strongly Convex Programming Algorithms
This paper examines the generalization properties of online convex programming algorithms when the loss function is Lipschitz and strongly convex. Our main result is a sharp bound...
Sham M. Kakade, Ambuj Tewari
JFPLC
2001
15 years 5 months ago
Recherche adaptative et contraintes musicales
We propose an environment for musical constraint solving, in the visual programming language OpenMusic. We describe an implementation of a local search algorithm, called adaptive s...
Charlotte Truchet, Carlos Agon, Gérard Assa...
NIPS
2004
15 years 5 months ago
Learning Preferences for Multiclass Problems
Many interesting multiclass problems can be cast in the general framework of label ranking defined on a given set of classes. The evaluation for such a ranking is generally given ...
Fabio Aiolli, Alessandro Sperduti
AAECC
2007
Springer
98views Algorithms» more  AAECC 2007»
15 years 4 months ago
Parametrizing compactly supported orthonormal wavelets by discrete moments
We discuss parametrizations of filter coefficients of scaling functions and compactly supported orthonormal wavelets with several vanishing moments. We introduce the first discr...
Georg Regensburger