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Find link is a tool written by Edward Betts.Longer titles found: Simultaneous perturbation stochastic approximation (view)
searching for Stochastic approximation 28 found (483 total)
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of diffusion processes, Probability Theory: An Advanced Course, Stochastic Approximation: A Dynamical Systems Viewpoint, Hamiltonian Cycle Problem and MarkovNon-linear mixed-effects modeling software (646 words) [view diff] exact match in snippet view article find links to article
such as iterative-two stage (ITS), importance sampling (IMP), stochastic approximation estimation (SAEM) or direct sampling. A special case is use ofCyrus Derman (971 words) [view diff] case mismatch in snippet view article find links to article
Kai-Lai Chung in "Pacific Journal of Mathematics", Vol. 6(3), 1956. Stochastic Approximation, "The Annals of Mathematical Statistics", Vol. 27(4), 1956. TightenedOnline machine learning (4,747 words) [view diff] case mismatch in snippet view article find links to article
7 - Online Learning Kushner, Harold J.; Yin, G. George (2003). Stochastic Approximation and Recursive Algorithms with Applications (Second ed.). New York:Harold J. Kushner (422 words) [view diff] case mismatch in snippet view article find links to article
of researchers in the field" Kushner, H. J.; Yin, G. G. (1997). Stochastic Approximation Algorithms and Applications. doi:10.1007/978-1-4899-2696-8.Heston model (1,771 words) [view diff] exact match in snippet view article find links to article
|journal= (help) Kouritzin, M. (2018). "Explicit Heston solutions and stochastic approximation for path-dependent option pricing". International Journal of TheoreticalAlexey Ivakhnenko (2,128 words) [view diff] exact match in snippet view article find links to article
article "Group Method of Data Handling – a rival of the method of stochastic approximation", marking the beginning of a new stage in his scientific work.NONMEM (459 words) [view diff] exact match in snippet view article find links to article
such as iterative-two stage (ITS), importance sampling (IMP), stochastic approximation estimation (SAEM) or direct sampling. Sheiner, Lewis B.; B. Rosenberg;Temporal difference learning (1,565 words) [view diff] exact match in snippet view article find links to article
the simplest TD methods. It is a special case of more general stochastic approximation methods. It estimates the state value function of a finite-stateLearning rate (1,108 words) [view diff] case mismatch in snippet view article find links to article
Press. p. 247. ISBN 978-0-262-01802-9. Delyon, Bernard (2000). "Stochastic Approximation with Decreasing Gain: Convergence and Asymptotic Theory". UnpublishedNeural network quantum states (809 words) [view diff] exact match in snippet view article find links to article
efficiently computed, in deep networks through backpropagation. The stochastic approximation of the gradients is then used to minimize the energy E ( W ) {\displaystyleQuantile (3,228 words) [view diff] exact match in snippet view article find links to article
There are a number of such algorithms such as those based on stochastic approximation or Hermite series estimators. These statistics based algorithmsRidge regression (4,148 words) [view diff] exact match in snippet view article find links to article
Bo (2012). "Online nonnegative matrix factorization with robust stochastic approximation". IEEE Transactions on Neural Networks and Learning Systems. 23Éric Moulines (747 words) [view diff] exact match in snippet view article find links to article
pp. 174–188 E Moulines, FR Bach, « Non-asymptotic analysis of stochastic approximation algorithms for machine learning », Advances in Neural InformationConnectionism (4,817 words) [view diff] case mismatch in snippet view article find links to article
CCM Information Corporation. Robbins, H.; Monro, S. (1951). "A Stochastic Approximation Method". The Annals of Mathematical Statistics. 22 (3): 400. doi:10Nonlinear mixed-effects model (3,677 words) [view diff] exact match in snippet view article find links to article
linear mixed-effects models to do maximum likelihood estimation. Stochastic approximation of the expectation-maximization algorithm gives an alternativeMetaheuristic (4,646 words) [view diff] case mismatch in snippet view article find links to article
3082466, ISBN 978-1-4503-4939-0 Robbins, H.; Monro, S. (1951). "A Stochastic Approximation Method" (PDF). Annals of Mathematical Statistics. 22 (3): 400–407Veronese map (583 words) [view diff] case mismatch in snippet view article find links to article
Hazewinkel, Michiel (31 January 1993). Encyclopaedia of Mathematics: Stochastic Approximation — Zygmund Class of Functions. Springer Science & Business MediaExponential family random graph models (3,836 words) [view diff] exact match in snippet view article find links to article
(2012). "Fitting social networks models using varying truncation stochastic approximation MCMC algorithm". Journal of Computational and Graphical StatisticsClan Munro (5,690 words) [view diff] case mismatch in snippet view article find links to article
Retrieved 14 May 2021. Robbins, Herbert; Monro, Sutton (1951). "A Stochastic Approximation Method". The Annals of Mathematical Statistics. 22 (3): 400–407Galactic algorithm (2,737 words) [view diff] exact match in snippet view article find links to article
ISSN 1941-6016. Liang, Faming; Cheng, Yichen; Lin, Guang (2014). "Simulated stochastic approximation annealing for global optimization with a square-root cooling schedule"Latent semantic analysis (7,629 words) [view diff] exact match in snippet view article find links to article
fast algorithms are available. Unlike Gorrell and Webb's (2005) stochastic approximation, Brand's algorithm (2003) provides an exact solution. In recentNon-negative matrix factorization (7,783 words) [view diff] case mismatch in snippet view article find links to article
(July 2012). "Online Nonnegative Matrix Factorization With Robust Stochastic Approximation". IEEE Transactions on Neural Networks and Learning Systems. 23Deep learning (17,994 words) [view diff] case mismatch in snippet view article find links to article
2017-08-29. Retrieved 2019-11-05. Robbins, H.; Monro, S. (1951). "A Stochastic Approximation Method". The Annals of Mathematical Statistics. 22 (3): 400. doi:10Neural network (machine learning) (17,613 words) [view diff] case mismatch in snippet view article
2017. Retrieved 5 November 2019. Robbins H, Monro S (1951). "A Stochastic Approximation Method". The Annals of Mathematical Statistics. 22 (3): 400. doi:10Backtracking line search (4,564 words) [view diff] exact match in snippet view article find links to article
NeurIPS. arXiv:1906.07772. Robbins, H.; Monro, S. (1951). "A stochastic approximation method". Annals of Mathematical Statistics. 22 (3): 400–407. doi:10Types of artificial neural networks (10,769 words) [view diff] exact match in snippet view article find links to article
"The group method of data handling – a rival of the method of stochastic approximation". Soviet Automatic Control. 13 (3): 43–55. Ivakhnenko, A. G. (1971)History of artificial neural networks (8,625 words) [view diff] case mismatch in snippet view article find links to article
2017-08-29. Retrieved 2019-11-05. Robbins, H.; Monro, S. (1951). "A Stochastic Approximation Method". The Annals of Mathematical Statistics. 22 (3): 400. doi:10