Suchergebnisse - "stochastic algorithms"

Particle Swarm Optimisation: A Historical Review Up to the Current Developments von Freitas, Diogo, Lopes, Luiz Guerreiro, Morgado-Dias, Fernando

“… The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological behaviour of bird flocks searching for food sources. In this …”
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Distributed stochastic Nash equilibrium seeking under heavy-tailed noises von Sun, Chao, Chen, Bo, Wang, Jianzheng, Wang, Zheming, Yu, Li

“… This paper studies the distributed stochastic Nash equilibrium seeking problem under heavy-tailed noises. Unlike the traditional stochastic Nash equilibrium …”
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Modified LMS and NLMS algorithms with non-negative weights von Bershad, Neil J., Bermudez, José C.M.

“… Non-negative constraints arise in certain system identification problems when the systems to be identified have only positive coefficients. This paper studies …”
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Analysis of the Least Mean Square algorithm with processing delays in the adaptive arm for Gaussian inputs for system identification von Bershad, Neil J., Bermudez, José C.M.

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Stochastic first-order methods for convex and nonconvex functional constrained optimization von Boob, Digvijay, Deng, Qi, Lan, Guanghui

“… Functional constrained optimization is becoming more and more important in machine learning and operations research. Such problems have potential applications …”
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Analysis of the applicability and results of swarm intelligence tools for the positioning of Energy Storage Systems von Divasson-J, Asier, Santamaria, Itxaso Aranzabal, Landaribar, Miren T. Bedialauneta, Aguirre, Paula Castillo

“… The integration of renewable energy is transforming traditional energy systems, blurring the distinction between producers and consumers and shifting towards a …”
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A stacked ensemble forecast for photovoltaic power plants combining deterministic and stochastic methods von Oprea, Simona-Vasilica, Bâra, Adela

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Depth-2 neural networks under a data-poisoning attack von Karmakar, Sayar, Mukherjee, Anirbit, Papamarkou, Theodore

“… In this work, we study the possibility of defending against data-poisoning attacks while training a shallow neural network in a regression setup. We focus on …”
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Stochastic dual dynamical systems for linear equality constrained convex optimization problems von Liu, Juan, Long, Xian-Jun, Li, Xue-Song, Huang, Nan-Jing

“… •The primal problem is reformulated as a dual optimization problem via Ito stochastic dynamical system.•The convergence rates in expectation are obtained under …”
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Deterministic and stochastic modeling of heterogeneous catalytic selective hydrogenation of vegetable oil von Pellegrino, Enza, Di Giuliano, Andrea, Cancrini, Nicoletta, Gallucci, Katia

“… [Display omitted] •Heterogeneous catalytic selective hydrogenation of canola oil by Lindlar catalyst.•2 reaction schemes and 2 regression strategies for …”
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Accelerated First-Order Optimization Algorithms for Machine Learning von Li, Huan, Fang, Cong, Lin, Zhouchen

“… Numerical optimization serves as one of the pillars of machine learning. To meet the demands of big data applications, lots of efforts have been put on …”
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A switched variable step size NLMS adaptive filter von Bershad, Neil J., Bermudez, José C.M.

“… This paper studies the statistical behavior of a switched variable step size Normalized Least Mean Square adaptive filter. The purpose of the switching is to …”
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SQuadMDS: A lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP von Lambert, Pierre, de Bodt, Cyril, Verleysen, Michel, Lee, John A.

“… Multidimensional scaling is a process that aims to embed high dimensional data into a lower-dimensional space; this process is often used for the purpose of …”
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Zeroth-order optimization with orthogonal random directions von Kozak, David, Molinari, Cesare, Rosasco, Lorenzo, Tenorio, Luis, Villa, Silvia

“… We propose and analyze a randomized zeroth-order optimization method based on approximating the exact gradient by finite differences computed in a set of …”
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Development of a related key function in ARX stochastic data transformation algorithms von Kozlov, Alexander A.

“… In this paper an analysis of ARX stochastic algorithms based on related keys is considered. Analysis based on this approach is carried out using the selected …”
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Provable training of a ReLU gate with an iterative non-gradient algorithm von Karmakar, Sayar, Mukherjee, Anirbit

“… In this work, we demonstrate provable guarantees on the training of a single ReLU gate in hitherto unexplored regimes. We give a simple iterative stochastic …”
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Optimization of heat transfer in a grooved pipe model by Stochastic Algorithms and DOE based RSM von Güngör, Sahin, Ceyhan, Umut, Karadeniz, Ziya Haktan

“… Additive manufacturing is a promising candidate to eliminate design constraints in thermal-fluid engineering problems as it enables optimized free-form designs …”
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Biogeography Based optimization with Salp Swarm optimizer inspired operator for solving non-linear continuous optimization problems von Garg, Vanita, Deep, Kusum, Alnowibet, Khalid Abdulaziz, Zawbaa, Hossam M., Mohamed, Ali Wagdy

“… In this paper, a novel attempt is made to incorporate the two effective algorithm strategies, where BBO has a strong exploration and Salp Swarm Algorithm (SSA) …”
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Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling von Fu, Penghui, Tan, Zhiqiang

“… For multivariate nonparametric regression, doubly penalized ANOVA modeling (DPAM) has recently been proposed, using hierarchical total variations (HTVs) and …”
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An Introduction to MCMC for Machine Learning von Andrieu, Christophe, de Freitas, Nando, Doucet, Arnaud, Jordan, Michael I.

“… This purpose of this introductory paper is threefold. First, it introduces the Monte Carlo method with emphasis on probabilistic machine learning. Second, it …”
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