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Books on the topic 'Probabilistic automaton'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Louis, Pierre-Yves, and Francesca R. Nardi, eds. Probabilistic Cellular Automata. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-65558-1.

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2

Osnovy teorii veroi͡a︡tnostnykh avtomatov. Moskva: "Nauka," Glav. red. fiziko-matematicheskoĭ lit-ry, 1985.

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3

Lee, Won Don. Probabilistic inference. Urbana, Ill: Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

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4

Gevarter, William B. Automatic probabilistic knowledge acquisition from data. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1986.

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5

Lee, Won Don. Probabilistic inference: Theory and practice. Urbana, Ill: Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

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6

Sturm, Jürgen. Approaches to Probabilistic Model Learning for Mobile Manipulation Robots. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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7

European Congress on Intelligent Techniques and Soft Computing (5th 1997 Aachen, Germany). EUFIT '97: 5th European Congress on Intelligent Techniques and Soft Computing : Aachen, Germany , September 8-11, 1997, proceedings. Aachen: Verlag Mainz [for the] ELITE-Foundation, 1997.

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8

European Congress on Fuzzy and Intelligent Technologies. (1st 1993 Aachen, Germany). EUFIT '93: First European congress on fuzzy and intelligent technologies : September 7-10, 1993, Eurogress Aachen, Germany : Proceedings. Aachen: Verlag der Augustinus Buchhandlung for the ELITE-Foundation, 1993.

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9

Probabilistic Cellular Automata: Theory, Applications and Future Perspectives. Springer, 2019.

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10

Goldreich, Oded. Probabilistic Proof Systems: A Primer. Now Publishers, 2008.

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11

Sturm, Jürgen. Approaches to Probabilistic Model Learning for Mobile Manipulation Robots. Springer, 2013.

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12

Sturm, Jürgen. Approaches to Probabilistic Model Learning for Mobile Manipulation Robots. Springer, 2013.

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13

Pierre, Bessière, Laugier Christian, and Siegwart Roland, eds. Probabilistic reasoning and decision making in sensory-motor systems. Berlin: Springer, 2008.

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14

L, Guymon Gary, Inyo County (Calif ), Los Angeles (Calif.) Dept. of Water and Power, and Geological Survey (U.S.), eds. An efficient deterministic-probabilistic approach to modeling regional ground-water flow: Theory. Denver, Colo: Dept. of the Interior, U.S. Geological Survey, 1988.

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15

Giacovazzo, Carmelo. Phasing in Crystallography. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199686995.001.0001.

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Abstract:

Modern crystallographic methods originate from the synergy of two main research streams, the small-molecule and the macro-molecular streams. The first stream was able to definitively solve the phase problem for molecules up to 200 atoms in the asymmetric unit. The achievements obtained by the macromolecular stream are also impressive. A huge number of protein structures have been deposited in the Protein Data Bank. The solution of them is no longer reserved to an elite group of scientists, but may be attained in a large number of laboratories around the world, even by young scientists. New probabilistic approaches have been tailored to deal with larger structures, errors in the experimental data, and modest data resolution. Traditional phasing techniques like ab initio, molecular replacement, isomorphous replacement, and anomalous dispersion techniques have been revisited. The new approaches have been implemented in robust phasing programs, which have been organized in automatic pipelines usable even by non-experts. Protein structures, which 50 years ago could take months or even years to solve, can now be solved in a matter of hours, partly also due to technological advances in computer science. This book describes all modern crystallographic phasing methods, and introduces a new rational classification of them. A didactic approach is used, with the techniques described simply and logically in the main text, and further mathematical details confined to the Appendices for motivated readers. Numerous figures and applicative details illustrate the text.

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