„Computing series“
Suchergebnisse
1.000+ Treffer
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A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks
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A robust-filtering method for noisy non-stationary multivariate time series with econometric applications
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Python Machine Learning Case Studies – Five Case Studies for the Data Scientist
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Representation and Processing of Time Series Data with Hyperdimensional Computing
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Juan Romero and Penousal Machado (eds): The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music – Natural Computing Series, Springer Science+Business Media, 2008, 460 pp, 169 illustrations, 91 in colour, Hard Cover with DVD, ISBN: 978-3-540-72876-4
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i. sala, On the Numerical Solution of Certain Boundary Value Problems and Eingenvalue Problems of the Second and Fourth Order with the Aid of Integral Equations (Acta Polytechnica Scandinavica, Mathematics and Computing Machinery Series, No. 9). 24 S. Helsinki 1963. Preis brosch. Sw. Kr. 10,‐.
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L. A. Lyusternik u. a., Handbook for Computing, Elementary Functions. (International Series of Monographs in Pure and Applied Mathematics, Volume 76) XII + 251 S. m. Tab. Oxford/London/Edinburgh/New York/Paris/Frankfurt 1965. Pergamon Press. Preis geb. 63 s. net
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J. Brunvoll — S. J. Cyvin, GIER‐ALGOL Programming of the B. Matrix in the Theory of Molecular Vibrations. (Acta Polytechnica Scandinavica, Mathematics and Computing Machinery Series, No. 11) Trondheim 1964. Norges Tekniske Vitenskapsakademi. Preis brosch. Sw. kr. 10.00
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Jordan, D. W.; Smith, P., Nonlinear Ordinary Differential Equations. 2nd ed. Oxford, Clarendon Press 1987. IX, 381 pp., £ 14.50. ISBN 0‐19‐859656‐1 (Oxford Applied Mathematics and Computing Science Series)
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Grindrod, Peter: Patternsand Waves. Oxford Applied Mathematics and Computing Scicncc Series, Clarendon Press, Oxford 1991, 239 S., £17.50
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Performance of back-propagation neural network in chaotic data time series forecasting and evaluation over parametric forecast: a case study for rainfall-runoff modelling over a river basin
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Typical Sequences Revisited - Computing Width Parameters of Graphs
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Time series model for forecasting the number of new admission inpatients
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Interval-valued prediction of time series based on fuzzy cognitive maps and granular computing
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End-to-end multivariate time series classification via hybrid deep learning architectures
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Deterministic reservoir computing for chaotic time series prediction
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Application of soft computing techniques for estimating emotional states expressed in Twitter® time series data
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Performance tools – model interchange formats ; [this report appears on the occasion of a joint conference, in the junction of two established conference series, 8th International Conference on Modelling Techniques and Tools for Computer Performance Evaluation "Performance tools '95" ; 8th GI-ITG Conference of Measuring, Modelling and Evaluating Computing and Communication Systems, "MMB '95", September 18 - 22, 1995, Heidelberg]
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A circular hidden Markov model for directional time series data
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Applying non-negative matrix factorization with covariates to multivariate time series data as a vector autoregression model