Suchergebnisse - "Neural nets and related approaches to inference from stochastic processes"

Adaptive Deep Density Approximation for Stochastic Dynamical Systems: Adaptive deep density approximation for stochastic dynamical systems

Autoren: Junjie He Qifeng Liao Xiaoliang Wan

Quelle: Journal of Scientific Computing. 102

Schlagwörter: Numerical solutions to stochastic differential and integral equations, FOS: Computer and information sciences, continuity equation, stochastic dynamical systems, Machine Learning (stat.ML), Numerical Analysis (math.NA), Stochastic ordinary differential equations (aspects of stochastic analysis), Neural nets and related approaches to inference from stochastic processes, normalizing flows, 34F05, 60H35, 62M45, 65C30, deep neural networks, Statistics - Machine Learning, FOS: Mathematics, Mathematics - Numerical Analysis, Computational methods for stochastic equations (aspects of stochastic analysis), Artificial neural networks and deep learning

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2405.02810
https://zbmath.org/7975330
https://doi.org/10.1007/s10915-025-02791-7

Stable convergence of heavy-/light-tailed infinitely wide neural networks: \(\alpha\)-stable convergence of heavy-/light-tailed infinitely wide neural networks

Autoren: Paul Jung Hoil Lee Jiho Lee et al.

Quelle: Advances in Applied Probability. 55:1415-1441

Schlagwörter: Neural nets and related approaches to inference from stochastic processes, multi-layer perceptrons, Stable stochastic processes, Central limit and other weak theorems, weak convergence, 0101 mathematics, heavy-tailed distribution, 01 natural sciences, Artificial neural networks and deep learning, stable process, infinite-width limit

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/7806768
https://doi.org/10.1017/apr.2023.3

Machine learning-based conditional mean filter: A generalization of the ensemble Kalman filter for nonlinear data assimilation: Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation

Autoren: Hoang, Truong-Vinh Krumscheid, Sebastian Matthies, Hermann G. et al.

Weitere Verfasser: Hoang, Truong-Vinh Krumscheid, Sebastian Matthies, Hermann G. et al.

Quelle: Foundations of Data Science. 5:56-80

Schlagwörter: ddc:004, FOS: Computer and information sciences, Computer Science - Machine Learning, Learning and adaptive systems in artificial intelligence, Machine Learning (stat.ML), 62M45, 62M20, 65C20, 86-08, Statistics - Computation, 01 natural sciences, Inference from stochastic processes and prediction, Machine Learning (cs.LG), Statistics - Machine Learning, conditional expectation, FOS: Mathematics, Mathematics - Numerical Analysis, Computation (stat.CO), 0105 earth and related environmental sciences, DATA processing & computer science, weather forecast, deep learning, Monte Carlo methods, Numerical Analysis (math.NA), Filtering in stochastic control theory, Neural nets and related approaches to inference from stochastic processes, nonlinear filter, inverse problem

Dateibeschreibung: application/xml; application/pdf

Zugangs-URL: http://arxiv.org/abs/2106.07908

A review of regularised estimation methods and cross-validation in spatiotemporal statistics

Autoren: Fassò, Alessandro Otto, Philipp Maranzano, Paolo

Quelle: Statistics Surveys. 18

Schlagwörter: FOS: Computer and information sciences, Big data, dimension reduction, geostatistics, spatial econometrics, Ridge regression, shrinkage estimators (Lasso), Other Statistics (stat.OT), Research exposition (monographs, survey articles) pertaining to statistics, Statistics - Computation, Neural nets and related approaches to inference from stochastic processes, Methodology (stat.ME), Statistics - Other Statistics, big data, Applications of statistics to environmental and related topics, Design of statistical experiments, Directional data, spatial statistics, Statistics - Methodology, Computation (stat.CO)

Dateibeschreibung: application/xml; application/pdf

Zugangs-URL: http://arxiv.org/abs/2402.00183

Minimal embedding dimensions of connected neural codes

Autoren: Ngoc Mai Tran Raffaella Mulas

Quelle: Algebraic Statistics. 11:99-106

Schlagwörter: receptive field code, minimal embedding, 02 engineering and technology, Neural networks for/in biological studies, artificial life and related topics, Hypergraphs, 01 natural sciences, Algebraic statistics, Applications of statistics to biology and medical sciences, meta analysis, Planar graphs, geometric and topological aspects of graph theory, Neural nets and related approaches to inference from stochastic processes, realizability, Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Mathematics - Combinatorics, Neurons and Cognition (q-bio.NC), Combinatorics (math.CO), 0101 mathematics

Dateibeschreibung: application/xml

Zugangs-URL: https://msp.org/astat/2020/11-1/astat-v11-n1-p06-s.pdf
http://arxiv.org/abs/1706.03999
https://arxiv.org/pdf/1706.03999.pdf
https://arxiv.org/abs/1706.03999
http://ui.adsabs.harvard.edu/abs/2017arXiv170603999M/abstract
https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_3315112
https://msp.org/astat/2020/11-1/p06.xhtml
https://msp.org/astat/2020/11-1/astat-v11-n1-p06-s.pdf

Learning the Mapping $$\mathbf {x}\mapsto \sum\limits _{i=1}^d x_i^2$$: the Cost of Finding the Needle in a Haystack: Learning the mapping \(\mathbf{x}\mapsto \sum\limits_{i=1}^d x_i^2\): the cost of finding the needle in a haystack

Autoren: Leonardo Zepeda-Núñez Yuan Yao Jiefu Zhang et al.

Quelle: Communications on Applied Mathematics and Computation. 3:313-335

Schlagwörter: Neural nets and related approaches to inference from stochastic processes, 0301 basic medicine, sample complexity, 03 medical and health sciences, Statistical aspects of big data and data science, machine learning, Numerical summation of series, Learning and adaptive systems in artificial intelligence, 0202 electrical engineering, electronic engineering, information engineering, generalization error, 02 engineering and technology

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/7432645
https://doi.org/10.1007/s42967-020-00078-2
https://www.camc.shu.edu.cn/EN/10.1007/s42967-020-00078-2
https://link.springer.com/article/10.1007/s42967-020-00078-2
https://link.springer.com/content/pdf/10.1007/s42967-020-00078-2.pdf

Towards end‐to‐end likelihood‐free inference with convolutional neural networks: Towards end-to-end likelihood-free inference with convolutional neural networks

Autoren: Stefan T. Radev Ulf K. Mertens Andreas Voss et al.

Quelle: British Journal of Mathematical and Statistical Psychology. 73:23-43

Schlagwörter: Likelihood Functions, Bayesian inference, 05 social sciences, leaky competing accumulator, Bayes Theorem, 01 natural sciences, Causal inference from observational studies, convolutional network, Neural nets and related approaches to inference from stochastic processes, Machine Learning, approximate Bayesian computation, machine learning, likelihood-free inference, Humans, Regression Analysis, Computer Simulation, 0501 psychology and cognitive sciences, Neural Networks, Computer, 0101 mathematics, Computational methods for problems pertaining to statistics, Algorithms, Applications of statistics to psychology

Dateibeschreibung: application/xml

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/30793299
https://zbmath.org/7239909
https://doi.org/10.1111/bmsp.12159
https://www.onlinelibrary.wiley.com/doi/abs/10.1111/bmsp.12159
https://www.onlinelibrary.wiley.com/doi/pdf/10.1111/bmsp.12159
https://www.ncbi.nlm.nih.gov/pubmed/30793299
https://pubmed.ncbi.nlm.nih.gov/30793299/
https://bpspsychub.onlinelibrary.wiley.com/doi/abs/10.1111/bmsp.12159
https://europepmc.org/article/MED/30793299

Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks

Autoren: Maciej Jaworski Piotr Duda Leszek Rutkowski

Quelle: Information Sciences. :497-518

Schlagwörter: Neural nets and related approaches to inference from stochastic processes, convergence in probability and with probability one, regression function, Learning and adaptive systems in artificial intelligence, time-varying environment, 0202 electrical engineering, electronic engineering, information engineering, stream data, Nonparametric regression and quantile regression, 02 engineering and technology, orthogonal series, 16. Peace & justice

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/7245702
https://doi.org/10.1016/j.ins.2017.07.013
https://www.sciencedirect.com/science/article/pii/S0020025517308344
https://dblp.uni-trier.de/db/journals/isci/isci460.html#DudaJR18

numerical analysis near singularities in rbf networks: Numerical analysis near singularities in RBF networks

Autoren: Guo, Weili Ong, Yew-Soon Hervas, Jaime Rubio et al.

Weitere Verfasser: Guo, Weili Ong, Yew-Soon Hervas, Jaime Rubio et al.

Quelle: Journal of Machine Learning Research. 19(1):1-39

Schlagwörter: Engineering::Computer science and engineering [DRNTU], Neural nets and related approaches to inference from stochastic processes, learning dynamics, Singularity, numerical analysis, RBF networks, deep learning, Numerical aspects of recurrence relations, Statistical aspects of information-theoretic topics, singularity, RBF Networks, Artificial neural networks and deep learning

Dateibeschreibung: application/xml; application/pdf

Zugangs-URL: https://zbmath.org/6982292
https://dr.ntu.edu.sg/handle/10220/46400
https://jmlr.org/papers/v19/16-210.html
https://dblp.uni-trier.de/db/journals/jmlr/jmlr19.html#GuoWOHZWZ18
https://jmlr.org/papers/volume19/16-210/16-210.pdf
https://dl.acm.org/doi/10.5555/3291125.3291126
https://jmlr.csail.mit.edu/papers/v19/16-210.html
http://www.jmlr.org/papers/volume19/16-210/16-210.pdf
https://hdl.handle.net/10356/89770
http://hdl.handle.net/10220/46400

Information flow among neural networks with Bayesian estimation

Autoren: Yan Li Xinping Guan Xiaoli Li et al.

Quelle: Chinese Science Bulletin. 52:2006-2011

Schlagwörter: 0301 basic medicine, Biomedical imaging and signal processing, epileptic EEG, Bayesian inference, Statistical aspects of information-theoretic topics, 01 natural sciences, coupling direction, conditional mutual information, Neural nets and related approaches to inference from stochastic processes, phase synchronization, 03 medical and health sciences, Neural biology, Medical applications (general), 0103 physical sciences

Dateibeschreibung: application/xml

Zugangs-URL: https://ui.adsabs.harvard.edu/abs/2007ChSBu..52.2006L/abstract
https://link.springer.com/article/10.1007/s11434-007-0272-3

An evolving network model with community structure

Autoren: Philip K. Maini Chunguang Li

Quelle: Journal of Physics A: Mathematical and General. 38:9741-9749

Schlagwörter: Physics - Physics and Society, Network design and communication in computer systems, real-world complex networks, Communication theory, FOS: Physical sciences, Physics and Society (physics.soc-ph), Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Neural networks for/in biological studies, artificial life and related topics, 01 natural sciences, Neural nets and related approaches to inference from stochastic processes, Stochastic network models in operations research, mean-field method, Applications of Markov renewal processes (reliability, queueing networks, etc.), 0103 physical sciences

Dateibeschreibung: application/xml

Zugangs-URL: https://ora.ox.ac.uk/objects/uuid:cbe8ac77-8703-484e-8cad-70ef48a2c5d0/download_file?safe_filename=195.pdf&file_format=application%2Fpdf&type_of_work=Journal+article
http://arxiv.org/abs/physics/0510239
https://zbmath.org/2239383
https://doi.org/10.1088/0305-4470/38/45/002
https://iopscience.iop.org/article/10.1088/0305-4470/38/45/002
https://people.maths.ox.ac.uk/maini/PKM%20publications/195.pdf
https://ui.adsabs.harvard.edu/abs/2005JPhA...38.9741L/abstract
http://iopscience.iop.org/0305-4470/38/45/002
https://core.ac.uk/display/2639526
http://www.cabdyn.ox.ac.uk/complexity_PDFs/Publications%202005/Li_community%20structure.pdf
https://arxiv.org/abs/physics/0510239
http://arxiv.org/pdf/physics/0510239.pdf
https://ora.ox.ac.uk/objects/uuid:cbe8ac77-8703-484e-8cad-70ef48a2c5d0

Competitiveness of nations: A knowledge discovery examination: Competitiveness of nations: a knowledge discovery examination

Autoren: Irma Becerra-Fernandez Stelios H. Zanakis

Quelle: European Journal of Operational Research. 166:185-211

Schlagwörter: Applications of statistics to social sciences, Statistics, 05 social sciences, 1. No poverty, 0211 other engineering and technologies, 02 engineering and technology, Applications of statistics, Competitiveness, Neural nets and related approaches to inference from stochastic processes, Knowledge discovery, 8. Economic growth, 0502 economics and business, Theory of data, Country comparisons, Applications of statistics to economics, Searching and sorting, Data mining

Dateibeschreibung: application/xml

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S0377221704002917
https://dblp.uni-trier.de/db/journals/eor/eor166.html#ZanakisB05
https://ideas.repec.org/a/eee/ejores/v166y2005i1p185-211.html

A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem

Autoren: Parag C. Pendharkar

Quelle: Computers & Operations Research. 32:2561-2582

Schlagwörter: Applications of statistics to actuarial sciences and financial mathematics, Artificial intelligence, Classification and discrimination, cluster analysis (statistical aspects), Artificial neural networks, Learning and adaptive systems in artificial intelligence, 0211 other engineering and technologies, 02 engineering and technology, Genetic algorithms, Discriminant analysis, Neural nets and related approaches to inference from stochastic processes, 0202 electrical engineering, electronic engineering, information engineering, Learning, Bankruptcy prediction, Classification problem

Dateibeschreibung: application/xml

Zugangs-URL: https://pennstate.pure.elsevier.com/en/publications/a-threshold-varying-artificial-neural-network-approach-for-classi
http://www.sciencedirect.com/science/article/pii/S0305054804001558
http://dblp.uni-trier.de/db/journals/cor/cor32.html#Pendharkar05
https://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16683593
https://dl.acm.org/doi/10.1016/j.cor.2004.06.023
https://www.sciencedirect.com/science/article/pii/S0305054804001558

Heterogeneous local model networks for time series prediction

Autoren: Oh, SK Kim, MS Eom, TD et al.

Quelle: Applied Mathematics and Computation. 168:164-177

Schlagwörter: Neural nets and related approaches to inference from stochastic processes, PCA, Mixture of experts network, 0202 electrical engineering, electronic engineering, information engineering, Cross-validation, 02 engineering and technology, Factor analysis and principal components, correspondence analysis, Time series prediction, Inference from stochastic processes and prediction, Local modeling

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/2223222
https://doi.org/10.1016/j.amc.2004.08.018
https://koasas.kaist.ac.kr/handle/10203/3187
https://dl.acm.org/doi/10.1016/j.amc.2004.08.018
https://www.sciencedirect.com/science/article/pii/S009630030400596X
https://dblp.uni-trier.de/db/journals/amc/amc168.html#OhKEL05

The accuracy of a procedural approach to specifying feedforward neural networks for forecasting: The accuracy of a procedural approach to specifying feedforward neural networks for fore\-casting

Autoren: Liao, K P Fildes, R A

Quelle: Computers & Operations Research. 32:2151-2169

Schlagwörter: Neural nets and related approaches to inference from stochastic processes, Time series, auto-correlation, regression, etc. in statistics (GARCH), 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, Comparative forecasting accuracy, Model specification, Backpropagation, 02 engineering and technology, Neural networks, Inference from stochastic processes and prediction

Dateibeschreibung: application/xml

Zugangs-URL: https://eprints.lancs.ac.uk/id/eprint/48697/1/Document.pdf

Evidence Evaluation for Bayesian Neural Networks Using Contour Monte Carlo: Evidence evaluation for Bayesian neural networks using contour Monte Carlo

Autoren: Faming Liang

Quelle: Neural Computation. 17:1385-1410

Schlagwörter: Neural nets and related approaches to inference from stochastic processes, ischemic heart diseases, Bayesian inference, irise data, Computational problems in statistics, Monte Carlo methods, 0101 mathematics, 01 natural sciences

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/2170874
https://doi.org/10.1162/0899766053630323
http://cognet.mit.edu/journal/10.1162/0899766053630323
https://www.mitpressjournals.org/doi/10.1162/0899766053630323
https://doi.org/10.1162/0899766053630323
http://users.phhp.ufl.edu/faliang/papers/2005/NCcmc.pdf
https://direct.mit.edu/neco/article/17/6/1385/6975/Evidence-Evaluation-for-Bayesian-Neural-Networks
https://dblp.uni-trier.de/db/journals/neco/neco17.html#Liang05

Neural network-based state fusion and adaptive tracking for maneuvering targets

Autoren: Zhongliang Jing

Quelle: Communications in Nonlinear Science and Numerical Simulation. 10:395-410

Schlagwörter: Neural nets and related approaches to inference from stochastic processes, adaptive tracking, 0203 mechanical engineering, Adaptive control/observation systems, neural network, state fusion, adaptive filtering, 0211 other engineering and technologies, targets, 02 engineering and technology, Neural networks for/in biological studies, artificial life and related topics, Filtering in stochastic control theory

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/2137192
https://doi.org/10.1016/j.cnsns.2003.10.002
https://www.sciencedirect.com/science/article/pii/S100757040300162X
http://ui.adsabs.harvard.edu/abs/2005CNSNS..10..395J/abstract

NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches

Autoren: Gao, Y Er, MJ

Quelle: Fuzzy Sets and Systems. 150:331-350

Schlagwörter: Neural nets and related approaches to inference from stochastic processes, Time series, auto-correlation, regression, etc. in statistics (GARCH), Fuzzy control/observation systems, NARMAX models, 0202 electrical engineering, electronic engineering, information engineering, Fuzzy neural networks, 02 engineering and technology, Time series prediction, Takagi-Sugeno-Kang fuzzy inference systems, Inference from stochastic processes and prediction

Dateibeschreibung: application/xml; text

EXTENDED DAILY EXCHANGE RATES FORECASTS USING WAVELET TEMPORAL RESOLUTIONS: Extended daily exchange rate forecasts using wavelet temporal resolutions

Autoren: MAK KABOUDAN

Quelle: New Mathematics and Natural Computation. :79-107

Schlagwörter: Applications of statistics to actuarial sciences and financial mathematics, Neural nets and related approaches to inference from stochastic processes, Genetic programming, artificial neural networks, Haar wavelets, Numerical methods for wavelets, Haar wavelets, genetic programming, Approximation methods and heuristics in mathematical programming, artificial neural networks

Dateibeschreibung: application/xml

Zugangs-URL: https://ideas.repec.org/a/wsi/nmncxx/v01y2005i01ns1793005705000056.html
https://www.worldscientific.com/doi/abs/10.1142/S1793005705000056
http://www.worldscinet.com/cgi-bin/details.cgi?type=html&id=pii:S1793005705000056
http://www.worldscinet.com/cgi-bin/details.cgi?type=pdf&id=pii:S1793005705000056

Bayesian Analysis of Nonlinear Autoregression Models Based on Neural Networks: Bayesian analysis of nonlinear autoregression models based on neural networks

Autoren: R. Montes Diez Antonio Menchero P. M¨ller et al.

Quelle: Neural Computation. 17:453-485

Schlagwörter: Neural nets and related approaches to inference from stochastic processes, Markov chain Monte Carlo, Time series, auto-correlation, regression, etc. in statistics (GARCH), Bayesian inference, 0101 mathematics, 01 natural sciences

Dateibeschreibung: application/xml

Zugangs-URL: http://cognet.mit.edu/journal/10.1162/0899766053011537
https://direct.mit.edu/neco/article/17/2/453/6923/Bayesian-Analysis-of-Nonlinear-Autoregression
https://dblp.uni-trier.de/db/journals/neco/neco17.html#MencheroDIM05
http://www.ma.utexas.edu/users/pmueller/pap/MMRM05.pdf
https://www.mitpressjournals.org/doi/abs/10.1162/0899766053011537
https://www.ma.utexas.edu/users/pmueller/pap/MMRM05.pdf