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» Gradient Convergence in Gradient methods with Errors
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FLAIRS
2004
13 years 9 months ago
Hidden Layer Training via Hessian Matrix Information
The output weight optimization-hidden weight optimization (OWO-HWO) algorithm for training the multilayer perceptron alternately updates the output weights and the hidden weights....
Changhua Yu, Michael T. Manry, Jiang Li
ICA
2010
Springer
13 years 8 months ago
Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
Mehrdad Yaghoobi, Mike E. Davies
WSC
2001
13 years 9 months ago
Global random optimization by simultaneous perturbation stochastic approximation
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...
John L. Maryak, Daniel C. Chin
IJIT
2004
13 years 9 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
ICRA
2008
IEEE
160views Robotics» more  ICRA 2008»
14 years 2 months ago
No robot left behind: Coordination to overcome local minima in swarm navigation
Abstract— In this paper, we address navigation and coordination methods that allow swarms of robots to converge and spread along complex 2D shapes in environments containing unkn...
Leandro Soriano Marcolino, Luiz Chaimowicz