Tag function_approximation [18 articles] Export

Recent papers classified by the tag function_approximation.

	Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree [My Copy] Advances in Computational Mathematics, Vol. 4, No. 1. (28 December 1995), pp. 389-396. by Holger Wendland posted to rbf function_approximation by alexduschau on 2009-09-27 22:29:42 as along with 1 person chrisatcite
	Generalization in reinforcement learning: Successful examples using sparse coarse coding [My Copy] In Advances in Neural Information Processing Systems 8, Vol. 8 (1996), pp. 1038-1044. by Richard S. Sutton posted to function_approximation mc reinforcement_learning by eolmedo on 2008-11-13 00:54:53 as along with 1 person ddahlem
	Multiagent reinforcement learning using function approximation [My Copy] Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on In Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, Vol. 30, No. 4. (2000), pp. 485-497. by O. Abul, F. Polat, R. Alhajj posted to function_approximation mc reinforcement_learning by eolmedo on 2008-11-13 00:48:05 as along with 1 person ddahlem
	Automatic basis function construction for approximate dynamic programming and reinforcement learning [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 449-456. by Philipp W. Keller, Shie Mannor, Doina Precup posted to function_approximation reinforcement_learning by tdahl on 2008-09-27 16:04:46 as
	Learning for the Control of Dynamical Motion Systems [My Copy] Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on In Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on (2007), pp. 454-459. by Pierre-Francois Marteau, Sylvie Gibet posted to control function_approximation inverse_dynamics by Cavadini on 2008-06-04 11:21:05 as
	The optimal discretization of probability density functions [My Copy] Computational Statistics & Data Analysis, Vol. 31, No. 4. (28 October 1999), pp. 475-486. by A. Christofides, B. Tanyi, S. Christofides, D. Whobrey, N. Christofides posted to density_estimation discretisation dynamic_programming function_approximation probability by mdreid to the group Statistical Machine Learning on 2008-04-30 01:42:47 as along with 1 person ron_maurer
	Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts [My Copy] Robotics and Automation, 2007 IEEE International Conference on In Robotics and Automation, 2007 IEEE International Conference on (2007), pp. 2117-2123. by G. Petkos, S. Vijayakumar posted to context function_approximation high_dimensions nonlinear by Cavadini on 2008-04-04 11:36:26 as
	Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing) [My Copy] (2006) by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk posted to function_approximation high_dimensions nonlinear by Cavadini on 2008-04-04 11:27:53 as
	Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts [My Copy] Artificial Neural Networks – ICANN 2006 (2006), pp. 898-907. by Georgios Petkos, Marc Toussaint, Sethu Vijayakumar posted to function_approximation high_dimensions by Cavadini on 2008-04-04 11:25:39 as
	Incremental Learning Framework for Function Approximation via Combining Mixture of Expert Model and Adaptive Resonance Theory [My Copy] Mechatronics and Automation, 2007. ICMA 2007. International Conference on In Mechatronics and Automation, 2007. ICMA 2007. International Conference on (2007), pp. 3486-3491. by Cheoltaek Kim, Ju-Jang Lee posted to function_approximation by Cavadini on 2008-04-03 10:32:37 as
	A max-piecewise-linear neural network for function approximation [My Copy] Neurocomputing In Neural Networks: Algorithms and Applications, 4th International Symposium on Neural Networks; 50 Years of Artificial Intelligence: a Neuronal Approach, Campus Multidisciplinary in Perception and Intelligence, Vol. 71, No. 4-6. (January 2008), pp. 843-852. by Chengtao Wen, Xiaoyan Ma posted to function_approximation neural_network by Cavadini on 2008-04-03 10:29:47 as
	Generalised influential rule search scheme for fuzzy function approximation [My Copy] Soft Comput., Vol. 10, No. 8. (June 2006), pp. 631-642. by A. Chatterjee, A. Rakshit, P. Siarry posted to function_approximation fuzzy by Cavadini on 2008-04-03 10:27:59 as
	Incremental Online Learning in High Dimensions [My Copy] by Sethu Vijayakumar, Aaron D'Souza, Stefan Schaal posted to function_approximation input_selection online by Cavadini on 2008-01-17 14:34:44 as
	Minimal Structure of Self-Organizing HCMAC Neural Network Classifier [My Copy] Neural Processing Letters, Vol. 23, No. 2. (April 2006), pp. 201-228. by Chen, Chih-Ming, Lu, Yung-Feng, Hong, Chin-Ming posted to function_approximation input_selection neural_network by Cavadini on 2008-01-17 14:28:19 as
	Backward Varilable Selection of Support Vector Regressors by Block Deletion [My Copy] Neural Networks, 2007. IJCNN 2007. International Joint Conference on In Neural Networks, 2007. IJCNN 2007. International Joint Conference on (2007), pp. 2117-2122. by Takashi Nagatani, Shigeo Abe posted to function_approximation input_selection by Cavadini on 2008-01-17 14:25:13 as
	A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection [My Copy] Advances in Neural Networks - ISNN 2006 (2006), pp. 1352-1358. by Xi-Zhao Wang, Hui Zhang posted to function_approximation input_selection by Cavadini on 2008-01-17 14:24:51 as
	Effective Input Variable Selection for Function Approximation [My Copy] Artificial Neural Networks – ICANN 2006 (2006), pp. 41-50. by L. Herrera, H. Pomares, I. Rojas, M. Verleysen, A. Guilén posted to function_approximation input_selection by Cavadini on 2008-01-17 14:11:56 as
	Hyper-cubic discretization for TD learning based on autonomous decentralized approach [My Copy] Systems, Man and Cybernetics, 2003. IEEE International Conference on In Systems, Man and Cybernetics, 2003. IEEE International Conference on, Vol. 4 (2003), pp. 3633-3638 vol.4. by Y. Kobayashi, S. Hosoe posted to function_approximation learning reinforcement by Cavadini on 2008-01-15 09:43:41 as

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reinforcement_learning	7
gradient_methods	5
input_selection	5
high_dimensions	3
action_spaces	2
algorithms	2
continuous_action	2
continuous_state	2
density_estimation	2
discretisation	2
dynamic_programming	2
gradient_estimates	2
mc	2
neural_network	2
nonlinear	2
probability	2
reinforcement	2
approximation	1
bayesian	1
connectionist_networks	1
context	1
control	1
fuzzy	1
inverse_dynamics	1
learning	1
online	1
q_learning	1
rbf	1

Tag function_approximation [18 articles] Export

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