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NN
2007
Springer
105views Neural Networks» more  NN 2007»
15 years 1 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling
ICASSP
2010
IEEE
15 years 3 days ago
Identification of linear systems in canonical form through an EM framework
Least-squares estimation has always been the main approach when applying prediction error methods (PEM) in the identification of linear dynamical systems. Regardless of the estim...
Pavlos Papadopoulos, Vassilis Digalakis
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
14 years 12 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
SIAMAM
2010
84views more  SIAMAM 2010»
14 years 12 months ago
Multidisciplinary Free Material Optimization
We present a mathematical framework for the so-called multidisciplinary free material optimization (MDFMO) problems, a branch of structural optimization in which the full material ...
Jaroslav Haslinger, Michal Kocvara, Günter Le...
111
Voted
SIAMSC
2010
161views more  SIAMSC 2010»
14 years 12 months ago
Surface Reconstruction and Image Enhancement via L1-Minimization
A surface reconstruction technique based on minimization of the total variation of the gradient is introduced. Convergence of the method is established, and an interior-point algor...
Veselin Dobrev, Jean-Luc Guermond, Bojan Popov