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» Stable Transductive Learning
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NPL
1998
87views more  NPL 1998»
14 years 11 months ago
Constrained Learning in Neural Networks: Application to Stable Factorization of 2-D Polynomials
Adaptive artificial neural network techniques are introduced and applied to the factorization of 2-D second order polynomials. The proposed neural network is trained using a const...
Stavros J. Perantonis, Nikolaos Ampazis, Stavros V...
96
Voted
ECAL
2003
Springer
15 years 5 months ago
Conditions for Stable Vowel Systems in a Population
This paper describes an investigation of two computer models of how vowel systems can be transferred from one generation to the next. Humans tend to reduce the articulation of the ...
Bart de Boer
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 9 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
JMLR
2006
186views more  JMLR 2006»
14 years 11 months ago
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
ICPR
2010
IEEE
14 years 9 months ago
An Efficient and Stable Algorithm for Learning Rotations
This paper analyses the computational complexity and stability of an online algorithm recently proposed for learning rotations. The proposed algorithm involves multiplicative upda...
Raman Arora, William A. Sethares