Search Results - "Stochastic learning models"

An Approximate Dynamic Programming Approach to Dynamic Stochastic Matching.

Authors: You, Fan Vossen, Thomas

Source: INFORMS Journal on Computing. Jul/Aug2024, Vol. 36 Issue 4, p1006-1022. 17p.

A Column Generation Scheme for Distributionally Robust Multi-Item Newsvendor Problems.

Authors: Wang, Shanshan Delage, Erick

Source: INFORMS Journal on Computing. May/Jun2024, Vol. 36 Issue 3, p849-867. 19p.

Mini-Workshop: Probabilistic Perspectives in Neural Network-Based Machine Learning.

Authors: Langer, Sophie

Source: Oberwolfach Reports. 2025, Vol. 22 Issue 4, p2673-2697. 24p.

How Uncertainty Affects Children's Exploration and Exploitation in Statistical Learning.

Authors: Tong, Shelley Xiuli Zhang, Puyuan Zhou, Mei et al.

Source: Developmental Science. Jul2026, Vol. 29 Issue 4, p1-12. 12p.

Subjects: Uncertainty (Information theory), Developmental psychology, School children, Stochastic learning models, Attention, Eye tracking, Pattern perception, Decision making

Integrating Deep Learning Models into Stochastic Network Calculus for Enhanced Channel State Prediction in Underwater Acoustic Networks.

Authors: Saravanan, M. Sukumaran, Rajeev

Source: Wireless Personal Communications. Feb2025, Vol. 140 Issue 3/4, p1085-1118. 34p.

Subjects: Stochastic learning models, Underwater acoustic communication, Telecommunication, Marine communication, Wireless communications

A Physics-Informed Auto-Learning Framework for Developing Stochastic Conceptual Models for ENSO Diversity.

Authors: Zhang, Yinling Chen, Nan Vialard, Jérôme et al.

Source: Journal of Climate. Dec2024, Vol. 37 Issue 23, p6323-6347. 25p.

Subjects: Machine learning, Stochastic learning models, El Niño, Ocean temperature, Nonlinear regression

The Construction of Mathematical Concepts According to a Model Based on Mathematical Competencies.

Alternate Title: Konstrukcije matematičkih koncepata po modelu zasnovanom na matematičkim kompetencijama.

Authors: Berisha, Besim¹ besim.berishaa@hotmail.com

Source: Educa. Dec2024, Vol. 17, p63-75. 13p.

SUN: Stochastic UNsupervised Learning for Data Noise and Uncertainty Reduction.

Authors: Christakis, Nicholas Drikakis, Dimitris

Source: Applied Sciences (2076-3417); Dec2025, Vol. 15 Issue 24, p12954, 26p

Byzantine fault tolerance in distributed machine learning: a survey.

Authors: Bouhata, Djamila Moumen, Hamouma Mazari, Jocelyn Ahmed et al.

Source: Journal of Experimental & Theoretical Artificial Intelligence; Nov2025, Vol. 37 Issue 8, p1331-1389, 59p

Climatic Intelligence for Coffee: Yield Forecasting in India Using Stochastic Machine Learning and Abiotic Factor Modelling.

Authors: C. S., Santhosh K. K., Umesh Khatri, Narendra

Source: International Journal of Advances in Soft Computing & Its Applications; Nov2025, Vol. 17 Issue 3, p71-100, 30p

Incomplete multi-view clustering via diffusion completion.

Authors: Fang, Sifan Yang, Zuyuan Chen, Junhang

Source: Multimedia Tools & Applications. May2024, Vol. 83 Issue 18, p55889-55902. 14p.

Subjects: Data analysis, Stochastic learning models

Modeling with Artificial Neural Networks to estimate daily precipitation in the Brazilian Legal Amazon.

Authors: Pinheiro Gomes, Evanice Progênio, Mayke Feitosa da Silva Holanda, Patrícia

Source: Climate Dynamics. Jul2024, Vol. 62 Issue 7, p6219-6233. 15p.

Subjects: Stochastic learning models, Machine learning, Artificial neural networks, Atmospheric circulation, Water supply, Rain gauges

Remaining Useful Life Prediction for Power Storage Electronic Components Based on Fractional Weibull Process and Shock Poisson Model.

Authors: Song, Wanqing Yang, Xianhua Deng, Wujin et al.

Source: Fractal & Fractional. Aug2024, Vol. 8 Issue 8, p485. 18p.

Is Learning in Biological Neural Networks Based on Stochastic Gradient Descent? An Analysis Using Stochastic Processes.

Authors: Christensen, Sören Kallsen, Jan

Source: Neural Computation. Jul2024, Vol. 36 Issue 7, p1424-1432. 9p.

Subjects: Biological neural networks, Stochastic processes, Stochastic learning models, Artificial neural networks

Research on the influencing factors of promoting flipped classroom teaching based on the integrated UTAUT model and learning engagement theory.

Authors: Pan, Yufan He, Wang

Source: Scientific Reports. 7/2/2024, Vol. 14 Issue 1, p1-16. 16p.

Symmetric U-Net Model Tuned by FOX Metaheuristic Algorithm for Global Prediction of High Aerosol Concentrations.

Authors: Nikezić, Dušan P. Radivojević, Dušan S. Mirkov, Nikola S. et al.

Source: Symmetry (20738994). May2024, Vol. 16 Issue 5, p525. 9p.

Stochastic adaptive learning with committed players in games with strict Nash equilibria.

Authors: Funai, Naoki¹ (AUTHOR) naoki-funai@biwako.shiga-u.ac.jp

Source: Games & Economic Behavior. Dec2025, Vol. 154, p351-376. 26p.

Comparing Reinforcement Learning Algorithms for a Trip Building Task: a Multi-objective Approach Using Non-Local Information.

Authors: Gobbi, Henrique U. Dytz dos Santos, Guilherme Bazzan, Ana L. C.

Source: Computer Science & Information Systems. Jan2024, Vol. 21 Issue 1, p291-308. 18p.

Subjects: Stochastic learning models, Machine learning, Reinforcement learning, Travel time (Traffic engineering), Carbon monoxide

OptiSembleForecasting: optimization-based ensemble forecasting using MCS algorithm and PCA-based error index.

Authors: Yeasin, Md. Paul, Ranjit Kumar

Source: Journal of Supercomputing. Jan2024, Vol. 80 Issue 2, p1568-1597. 30p.

Subjects: Stochastic learning models, Deep learning, Standard deviations, Forecasting, Algorithms, Mathematical optimization

Geographic Terms: India

Occam's razor, machine learning and stochastic modeling of complex systems: the case of the Italian energy market.

Authors: Mari, Carlo Mari, Emiliano

Source: Quality & Quantity. Apr2024, Vol. 58 Issue 2, p1093-1111. 19p.