Log in

Relevant bibliographies by topics / Bayesian intelligence / Books

Books on the topic 'Bayesian intelligence'

To see the other types of publications on this topic, follow the link: Bayesian intelligence.

Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 books for your research on the topic 'Bayesian intelligence.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

E, Nicholson Ann, ed. Bayesian artificial intelligence. 2nd ed. Boca Raton, FL: CRC Press, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

2

E, Nicholson Ann, ed. Bayesian artificial intelligence. Boca Raton, Fla: Chapman & Hall/CRC, 2004.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Dowe, David L., ed. Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-44958-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Neal, Radford M. Bayesian learning for neural networks. Toronto: University of Toronto, Dept. of Computer Science, 1995.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

5

Szeliski, Richard. Bayesian Modeling of Uncertainty in Low-Level Vision. Boston, MA: Springer US, 1989.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

E, Holmes Dawn, Jain L. C, and SpringerLink (Online service), eds. Innovations in Bayesian Networks: Theory and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

7

Williamson, Jon. Bayesian nets and causality: Philosophical and computational foundations. New York: Oxford University Press, 2005.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

8

Neal, Radford M. Bayesian learning for neural networks. New York: Springer, 1996.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

Sucar, L. Enrique, Eduardo F. Morales, and Jesse Hoey. Decision theory models for applications in artificial intelligence: Concepts and solutions. Hershey, PA: Information Science Reference, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

10

Bayesian networks and decision graphs. New York: Springer, 2001.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

11

A, Bell David, ed. Evidence theory and its applications. Amsterdam: North-Holland, 1991.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

12

Erickson, Gary J. Maximum Entropy and Bayesian Methods: Boise, Idaho, USA, 1997 Proceedings of the 17th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis. Dordrecht: Springer Netherlands, 1998.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

13

Heidbreder, Glenn R. Maximum Entropy and Bayesian Methods: Santa Barbara, California, U.S.A., 1993. Dordrecht: Springer Netherlands, 1996.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

14

Kjaerulff, Uffe B. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis. 2nd ed. New York, NY: Springer New York, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

15

Kjaerulff, Uffe B. Bayesian networks and influence diagrams: A guide to construction and analysis. New York: Springer, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

16

Kjaerulff, Uffe B. Bayesian networks and influence diagrams: A guide to construction and analysis. New York: Springer, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

17

Guy, Tatiana V. Decision Making and Imperfection. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

18

Corfield, David. Foundations of Bayesianism. Dordrecht: Springer Netherlands, 2001.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

19

Portinale, Luigi. Modeling and analysis of dependable systems: A probabilistic graphical model perspective. New Jersey: World Scientific, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

20

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

Find full text

APA, Harvard, Vancouver, ISO, and other styles

21

1955-, Lucas Peter, Gámez José A, and Salmerón Antonio, eds. Advances in probabilistic graphical models. Berlin: Springer, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

22

Korb, Kevin B., and Ann E. Nicholson. Bayesian Artificial Intelligence. Taylor & Francis Group, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

23

Korb, Kevin B., and Ann E. Nicholson. Bayesian Artificial Intelligence. Taylor & Francis Group, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

24

Korb, Kevin B., and Ann E. Nicholson. Bayesian Artificial Intelligence. CRC Press, 2010. http://dx.doi.org/10.1201/b10391.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Korb, Kevin B., and Ann E. Nicholson. Bayesian Artificial Intelligence. Chapman and Hall/CRC, 2003. http://dx.doi.org/10.1201/9780203491294.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Korb, Kevin. Bayesian Artificial Intelligence. Taylor & Francis Group, 2003.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

27

Korb, Kevin B., and Ann E. Nicholson. Bayesian Artificial Intelligence. Taylor & Francis Group, 2003.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

28

Research Institute for Advanced Computer Science (U.S.), ed. Bayesian learning. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

29

Utilizing Bayesian Techniques for User Interface Intelligence. Storming Media, 1996.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

30

Dowe, David L. Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence. Springer, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

31

Bayesian Modeling of Uncertainty in Low-Level Vision. Springer, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

32

Neapolitan, Richard, and Xia Jiang. The Bayesian Network Story. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.31.

Full text

Abstract:

Bayesian networks are now among the leading architectures for reasoning with uncertainty in artificial intelligence. This chapter concerns their story, namely what they are, how and why they came into being, how we obtain them, and what they actually represent. First, it is shown that a standard application of Bayes’ Theorem constitutes inference in a two-node Bayesian network. Then more complex Bayesian networks are presented. Next the genesis of Bayesian networks and their relationship to causality is presented. A technique for learning Bayesian networks from data follows. Finally, a discussion of the philosophy of the probability distribution represented by a Bayesian network is provided.

APA, Harvard, Vancouver, ISO, and other styles

33

Williamson, Jon. Bayesian Nets and Causality: Philosophical and Computational Foundations. Oxford University Press, 2005.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

34

Williamson, Jon. Bayesian Nets and Causality: Philosophical and Computational Foundations. Ebsco Publishing, 2004.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

35

Neal, Radford M. Bayesian Learning for Neural Networks. Springer London, Limited, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

36

Korb, Kevin B., and Ann E. Nicholson. Bayesian Artificial Intelligence (Chapman & Hall/Crc Computer Science and Data Analysis). Chapman & Hall/CRC, 2003.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

37

Mislevy, Robert J., Russell G. Almond, Linda S. Steinberg, Duanli Yan, and David M. Williamson. Bayesian Networks in Educational Assessment. Springer, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

38

Mislevy, Robert J., David Williamson, Linda Steinberg, Russell G. Almond, and Duanli Yan. Bayesian Networks in Educational Assessment. Springer New York, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

39

Mislevy, Robert J., Russell G. Almond, Linda S. Steinberg, Duanli Yan, and David M. Williamson. Bayesian Networks in Educational Assessment. Springer New York, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

40

Cheeseman, Peter. Bayesian Learning (The Stanford Computer Science Video Journal : Artificial Intelligence Research Lectures). Morgan Kaufmann Pub, 1993.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

41

Mittelstadt, Daniel Richard. Application of a bayesian network to integrated circuit tester diagnosis. 1993.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

42

Nielsen, Thomas D., and Finn V. Jensen. Bayesian Networks and Decision Graphs. Springer New York, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

43

Data Mining : Foundations and Intelligent Paradigms : VOLUME 2: Statistical, Bayesian, Time Series and Other Theoretical Aspects. Springer Berlin / Heidelberg, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

44

Dowe, David L. Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence: Papers from the Ray Solomonoff 85th Memorial Conference, Melbourne, VIC, Australia, November 30 -- December 2 2011. Springer, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

45

Nikolaev, Nikolay, and Hitoshi Iba. Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods. Springer, 2006.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

46

Bayesian Networks and Decision Graphs (Information Science and Statistics). Springer, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

47

Ling, Xiaoning. Dependent evidence in resoning with uncertainty. 1990.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

48

Wolpert, David, Tatiana Valentine Guy, and Miroslav Kárný. Decision Making with Imperfect Decision Makers. Springer, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

49

Káý, Miroslav, David Wolpert, and Tatiana Valentine Guy. Decision Making with Imperfect Decision Makers. Springer, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

50

Wolpert, David, Tatiana Valentine Guy, and Miroslav Kárný. Decision Making with Imperfect Decision Makers. Springer, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!