Result 1 to 20 of 215 total
Learning the coordinate gradients. (English)
Adv. Comput. Math. 37, No. 3, 355-378 (2012).
1
Learning trajectories of dynamical systems. (English)
Math. Model. Anal. 17, No. 4, 519-531 (2012).
2
Approximation analysis of gradient descent algorithm for bipartite ranking. (English)
J. Appl. Math. 2012, Article ID 189753, 13 p. (2012).
3
Dictionary learning with large step gradient descent for sparse representations. (English)
Theis, Fabian (ed.) et al., Latent variable analysis and signal separation. 10th international conference, LVA/ICA 2012, Tel Aviv, Israel, March 12‒15, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-28550-9/pbk). Lecture Notes in Computer Science 7191, 231-238 (2012).
4
Learning sparse gradients for variable selection and dimension reduction. (English)
Mach. Learn. 87, No. 3, 303-355 (2012).
5
Actor-critic algorithm based on incremental least-squares temporal difference with eligibility trace. (English)
Huang, De-Shuang (ed.) et al., Advanced intelligent computing theories and applications. With aspects of artificial intelligence. 7th international conference, ICIC 2011, Zhengzhou, China, August 11‒14, 2011. Revised selected papers. Berlin: Springer (ISBN 978-3-642-25943-2/pbk). Lecture Notes in Computer Science 6839. Lecture Notes in Artificial Intelligence, 183-188 (2012).
6
Least square regression with coefficient regularization by gradient descent. (English)
Int. J. Wavelets Multiresolut. Inf. Process. 10, No. 1, 1250005, 13 p. (2012).
7
The knowledge gradient algorithm for a general class of online learning problems. (English)
Oper. Res. 60, No. 1, 180-195 (2012).
8
Online variance minimization. (English)
Mach. Learn. 87, No. 1, 1-32 (2012).
9
Image deblurring with matrix regression and gradient evolution. (English)
Pattern Recognition 45, No. 6, 2164-2179 (2012).
10
Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy. (English)
Neurocomputing 81, 108-112 (2012).
11
Hybrid population-based incremental learning using real codes. (English)
Coello Coello, Carlos A. (ed.), Learning and intelligent optimization. 5th international conference, LION 5, Rome, Italy, January 17‒21, 2011. Selected papers. Berlin: Springer (ISBN 978-3-642-25565-6/pbk). Lecture Notes in Computer Science 6683, 379-391 (2011).
12
Learning in the feed-forward Random Neural Network: a critical review. (English)
Perform. Eval. 68, No. 4, 361-384 (2011).
13
On the use of stochastic Hessian information in optimization methods for machine learning. (English)
SIAM J. Optim. 21, No. 3, 977-995 (2011).
14
Dynamical properties of a perceptron learning process: structural stability under numerics and shadowing. (English)
J. Nonlinear Sci. 21, No. 4, 579-593 (2011).
15
Depth from defocus via discriminative metric learning. (English)
Lu, Bao-Liang (ed.) et al., Neural information processing. 18th international conference, ICONIP 2011, Shanghai, China, November 13‒17, 2011. Proceedings, Part III. Berlin: Springer (ISBN 978-3-642-24964-8/pbk). Lecture Notes in Computer Science 7064, 676-683 (2011).
16
Improving Gaussian process value function approximation in policy gradient algorithms. (English)
Honkela, Timo (ed.) et al., Artificial neural networks and machine learning ‒ ICANN 2011. 21st international conference on artificial neural networks, Espoo, Finland, June 14‒17, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-21737-1/pbk). Lecture Notes in Computer Science 6792, 221-228 (2011).
17
Adaptive kernel-width selection for kernel-based least-squares policy iteration algorithm. (English)
Liu, Derong (ed.) et al., Advances in neural networks ‒ ISNN 2011. 8th international symposium on neural networks, ISNN 2011, Guilin, China, May 29 ‒ June 1, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-21089-1/pbk). Lecture Notes in Computer Science 6676, 611-619 (2011).
18
Sparse kernel regression for traffic flow forecasting. (English)
Liu, Derong (ed.) et al., Advances in neural networks ‒ ISNN 2011. 8th international symposium on neural networks, ISNN 2011, Guilin, China, May 29 ‒ June 1, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-21089-1/pbk). Lecture Notes in Computer Science 6676, 76-84 (2011).
19
Comparisons of single- and multiple-hidden-layer neural networks. (English)
Liu, Derong (ed.) et al., Advances in neural networks ‒ ISNN 2011. 8th international symposium on neural networks, ISNN 2011, Guilin, China, May 29 ‒ June 1, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-21104-1/pbk). Lecture Notes in Computer Science 6675, 270-279 (2011).
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Result 1 to 20 of 215 total
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