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TSMC
2002
156views more  TSMC 2002»
15 years 4 months ago
Varieties of learning automata: an overview
Automata models of learning systems introduced in the 1960s were popularized as learning automata (LA) in a survey paper in 1974 [1]. Since then, there have been many fundamental a...
M. A. L. Thathachar, P. Shanti Sastry
ML
2007
ACM
127views Machine Learning» more  ML 2007»
15 years 4 months ago
Density estimation with stagewise optimization of the empirical risk
We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
Jussi Klemelä
ECCV
2010
Springer
15 years 3 months ago
Element-Wise Factorization for N-View Projective Reconstruction
Sturm-Triggs iteration is a standard method for solving the projective factorization problem. Like other iterative algorithms, this method suffers from some common drawbacks such ...
Yuchao Dai, Hongdong Li, Mingyi He
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 2 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 ...
148
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CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
15 years 1 days ago
Multivariable frequency domain identification using IV-based linear regression
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
Rogier S. Blom, Paul M. J. Van den Hof