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ESANN
2004
14 years 11 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom
ICDE
2008
IEEE
162views Database» more  ICDE 2008»
15 years 11 months ago
Adaptive Approximate Similarity Searching through Metric Social Networks
Exploiting the concepts of social networking represents a novel approach to the approximate similarity query processing. We present a metric social network where relations between...
Jan Sedmidubský, Pavel Zezula, Stanislav Ba...
AMC
2008
99views more  AMC 2008»
14 years 10 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
FOCS
2006
IEEE
15 years 3 months ago
Approximation Algorithms for Non-Uniform Buy-at-Bulk Network Design
We consider approximation algorithms for non-uniform buy-at-bulk network design problems. The first nontrivial approximation algorithm for this problem is due to Charikar and Kar...
Chandra Chekuri, Mohammad Taghi Hajiaghayi, Guy Ko...
TNN
2008
181views more  TNN 2008»
14 years 9 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu