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Books on the topic 'Computational models'

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Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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1

Senthilkumar, Muthukrishnan, Vijayalakshmi Ramasamy, Shina Sheen, C. Veeramani, Anthony Bonato, and Lynn Batten, eds. Computational Intelligence, Cyber Security and Computational Models. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0251-9.

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2

Krishnan, G. Sai Sundara, R. Anitha, R. S. Lekshmi, M. Senthil Kumar, Anthony Bonato, and Manuel Graña, eds. Computational Intelligence, Cyber Security and Computational Models. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1680-3.

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3

Schmajuk, Nestor, ed. Computational Models of Conditioning. Cambridge: Cambridge University Press, 2009. http://dx.doi.org/10.1017/cbo9780511760402.

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4

Hecht-Nielsen, Robert, and Thomas McKenna, eds. Computational Models for Neuroscience. London: Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-0085-0.

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5

Bolc, Leonard, ed. Computational Models of Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-82742-6.

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6

Bolc, Leonard. Computational Models of Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987.

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7

Computational models of games. Cambridge, Mass: MIT Press, 1989.

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8

Computational models of conditioning. New York: Cambridge University Press, 2010.

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9

Raman, Indhumathi, Poonthalir Ganesan, Venkatasamy Sureshkumar, and Latha Ranganathan, eds. Computational Intelligence, Cyber Security and Computational Models. Recent Trends in Computational Models, Intelligent and Secure Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15556-7.

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10

Källén, Anders. Computational pharmacokinetics. Boca Raton: Taylor & Francis, 2007.

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11

Withgott, Mary Margaret. Computational models of American speech. Menlo Park, Calif: Center for the Study of Language and Information, 1993.

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12

Mago, Vijay Kumar, and Vahid Dabbaghian, eds. Computational Models of Complex Systems. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01285-8.

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13

NATO, Advanced Study Institute on Computational Hearing (1998 Il Ciocco Italy). Computational models of auditory function. Amsterdam: IOS, 2001.

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14

Bolshakov, Igor A. Computational linguistics: Models, resources, applications. Mexico: Instituto Polite cnico Nacional, 2004.

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15

S, Landy Michael, and Movshon J. Anthony, eds. Computational models of visual processing. Cambridge, Mass: MIT Press, 1991.

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16

D, Held Kathryn, and Computational Mechanics Institute (Southampton, England), eds. Computational biomedicine. Southampton [England]: Computational Mechanics, 1993.

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17

Ruben, Mercado P., and Amman Hans M, eds. Computational economics. Princeton: Princeton University Press, 2006.

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18

Gregoriou, Greg N., and Razvan Pascalau, eds. Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models. London: Palgrave Macmillan UK, 2011. http://dx.doi.org/10.1057/9780230295223.

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19

Nonlinear financial econometrics: Forecasting models, computational and Bayesian models. Basingstoke: Palgrave Macmillan, 2011.

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20

Ganapathi, Geetha, Arumugam Subramaniam, Manuel Graña, Suresh Balusamy, Rajamanickam Natarajan, and Periakaruppan Ramanathan, eds. Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intelligent Systems and Automation. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0716-4.

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21

Balusamy, Suresh, Alexander N. Dudin, Manuel Graña, A. Kaja Mohideen, N. K. Sreelaja, and B. Malar, eds. Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intelligent Systems and Automation. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9700-8.

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22

Haller, Susan, Alfred Kobsa, and Susan McRoy, eds. Computational Models of Mixed-Initiative Interaction. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-1118-0.

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23

Boenn, Georg. Computational Models of Rhythm and Meter. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76285-2.

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24

Tang, Huajin, Kay Chen Tan, and Zhang Yi. Neural Networks: Computational Models and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-69226-3.

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25

Meddis, Ray, Enrique A. Lopez-Poveda, Richard R. Fay, and Arthur N. Popper, eds. Computational Models of the Auditory System. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5934-8.

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26

Moustafa, Ahmed A., ed. Computational Models of Brain and Behavior. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119159193.

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27

Diez, Pedro, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, and Olli Bräysy, eds. Computational Methods and Models for Transport. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-54490-8.

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28

Ponting, Keith, ed. Computational Models of Speech Pattern Processing. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60087-6.

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29

Steinmann, Paul, and Kenneth Runesson. The Catalogue of Computational Material Models. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63684-5.

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30

Susan, Haller, Kobsa Alfred, and McRoy Susan, eds. Computational models of mixed-initiative interaction. Dordrecht: Kluwer Academic, 1999.

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31

Pöschel, Thorsten. Computational granular dynamics: Models and algorithms. Berlin: Springer-Verlag, 2004.

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32

M, Ponting K., North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Study Institute on Computational Models of Speech Pattern Processing (1997 : Saint Helier, Channel Islands), eds. Computational models of speech pattern processing. Berlin: Springer, 1999.

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33

Itti, Laurent, and Ali Borji. Computational Models. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.026.

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This chapter reviews recent progress in computational modelling of visual attention. The authors start with early concepts and models, which have emphasized stimulus-driven guidance of attention towards salient objects in the visual world. They then present a taxonomy of the many different approaches which have emerged in recent research efforts. They then turn to the more complex problem of modelling top-down, task- and goal-driven influences on attention. While early top-down models have been more qualitative in nature, the authors describe several recent fully computational approaches that address top-down biasing in space, over features, and towards objects. This chapter finally provides an outlook and describes promising future research directions.
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34

Yi, Zhang, Huajin Tang, and Kay Chen Tan. Neural Networks : Computational Models and Applications: Computational Models and Applications. Springer, 2010.

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35

Springer. Computational Intelligence, Cyber Security and Computational Models. Springer London, Limited, 2013.

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36

Schmajuk, Nestor. Computational Models of Conditioning. Cambridge University Press, 2010.

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37

Marinčić, Nikola. Computational Models in Architecture. Edited by Ludger Hovestadt and Vera Bühlmann. Birkhäuser, 2019. http://dx.doi.org/10.1515/9783035618624.

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38

van Deemter, Kees. Computational Models of Referring. The MIT Press, 2016. http://dx.doi.org/10.7551/mitpress/9082.001.0001.

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39

Toni, Francesca, Sylwia Polberg, Richard Booth, Martin Caminada, and Hiroyuki Kido, eds. Computational Models of Argument. IOS Press, 2022. http://dx.doi.org/10.3233/faia353.

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40

Reichle, Erik D. Computational Models of Reading. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780195370669.001.0001.

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This book describes computational models of reading, or models that simulate and explain the mental processes that support the reading of text. The book provides introductory chapters on both reading research and computer models. The central chapters of the book then review what has been learned about reading from empirical research on four core reading processes: word identification, sentence processing, discourse representation, and how these three processes are coordinated with visual processing, attention, and eye-movement control. These central chapters also review an influential sample of computer models that have been developed to explain these key empirical findings, as well as comparative analyses of those models. The final chapter attempts to integrate this empirical and theoretical work by both describing a new comprehensive model of reading, Über-Reader, and reporting several simulations to illustrate how the model accounts for many of the basic phenomena related to reading.
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41

Berwick, Robert C. Computational Models of Discourse. MIT Press, 2018.

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42

Computational models of learning. Berlin: Springer-Verlag, 1987.

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43

Volkov, Konstantin, ed. Computational Models in Engineering. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.77484.

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44

Staff, R. Nadarajan. Mathematical and Computational Models. Alpha Science International, Limited, 2007.

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45

Gide, Milind S., and Lina J. Karam. Computational Visual Attention Models. Now Publishers, 2017.

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46

Bolc, Leonard. Computational Models of Learning. Springer, 2011.

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47

Schmajuk, Nestor. Computational Models of Conditioning. Cambridge University Press, 2010.

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48

Computational Models of Learning. Springer, 2011.

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49

Schmajuk, Nestor. Computational Models of Conditioning. Cambridge University Press, 2010.

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50

Schmajuk, Nestor. Computational Models of Conditioning. Cambridge University Press, 2011.

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