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Roles of Knowledge in Motor Learning
(1987-02-01)
The goal of this thesis is to apply the computational approach to motor learning, i.e., describe the constraints that enable performance improvement with experience and also the constraints that must be satisfied by ...
On Convergence Properties of the EM Algorithm for Gaussian Mixtures
(1995-04-21)
"Expectation-Maximization'' (EM) algorithm and gradient-based approaches for maximum likelihood learning of finite Gaussian mixtures. We show that the EM step in parameter space is obtained from the gradient via a ...
Iterative Projection Methods for Structured Sparsity Regularization
(2009-10-14)
In this paper we propose a general framework to characterize and solve the optimization problems underlying a large class of sparsity based regularization algorithms. More precisely, we study the minimization of learning ...
Sufficient Conditions for Uniform Stability of Regularization Algorithms
(2009-12-01)
In this paper, we study the stability and generalization properties of penalized empirical-risk minimization algorithms. We propose a set of properties of the penalty term that is sufficient to ensure uniform ?-stability: ...
Smart Multimedia Learning System for Automata Theory
(2017-11-25)
Education is a vital ingredient for a sustainable economy where “knowledge is power”. M- learning initiatives can lessen the digital divide in education and promote a knowledge-based economy. The high saturation of mobile ...
Smart Multimedia Learning System for Automata Theory
(2017-11-12)
Education is a vital ingredient for a sustainable economy where “knowledge is power”. M- learning initiatives can lessen the digital divide in education and promote a knowledge-based economy. The high saturation of mobile ...