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  Browse All Reviews > Theory Of Computation (F) > Computation By Abstract Devices (F.1) > Modes Of Computation (F.1.2) > Probabilistic Computation (F.1.2...)  
  1-10 of 120 Reviews about "Probabilistic Computation (F.1.2...)": Date Reviewed
  Probability on trees and networks
Lyons R., Peres Y.,  Cambridge University Press, New York, NY, 2016.Type: Book (9781107160156)

Information and communications technology (ICT) specialists might be interested in this tough mathematical book. For sure, this is not a work that can be easily read to relax in the evening, since a lot of background knowledge is necessary to unde...

Jul 19 2017
  Probability logics: probability-based formalization of uncertain reasoning
Ognjanović Z., Rašković M., Marković Z.,  Springer International Publishing, New York, NY, 2016. 215 pp. Type: Book (978-3-319470-11-5)

Combinations of probability and logic have been a topic of interest since the seminal work of Boole [1], and they have always occupied a place of relevance in foundational studies of probability. However, the direction of development has been cons...

Jun 5 2017
  Recent contributions in intelligent systems
Sgurev V., Yager R., Kacprzyk J., Atanassov K.,  Springer International Publishing, New York, NY, 2016. 390 pp. Type: Book (978-3-319414-37-9)

This is a collection of the best papers from the 2012 IEEE Intelligent Systems Conference, which was held in Sofia, Bulgaria in September 2012. The average length of the papers in this volume is 20 pages. Since there are 20 papers in all, I will t...

May 25 2017
  Bayesian methods in the search for MH370
Davey S., Gordon N., Holland I., Rutten M., Williams J.,  Springer International Publishing, New York, NY, 2016. 114 pp. Type: Book

One can seldom consider mathematics-heavy books as exciting page-turners. Yet, Bayesian methods in the search for MH370 is so far the best one I have encountered that could stand up to such a description. Published by Springer in its “...

Apr 21 2017
   Bayesian multi-tensor factorization
Khan S., Leppäaho E., Kaski S.  Machine Learning 105(2): 233-253, 2016. Type: Article

Data mining is increasingly facing the problem of extracting new knowledge from experimental data collected from complex phenomena. To extract hidden information, such datasets can be decomposed into the components that underlie them. Because data...

Feb 23 2017
  Imprecise random variables, random sets, and Monte Carlo simulation
Fetz T., Oberguggenberger M.  International Journal of Approximate Reasoning 78(C): 252-264, 2016. Type: Article

The presented work considers the problem of evaluating upper and lower probabilities in systems characterized by imprecise random variables. According to the authors, “Methods of imprecise probability have increasingly attracted interest in ...

Nov 10 2016
  Principles and methods of quantum information technologies
Yamamoto Y., Semba K.,  Springer International Publishing, New York, NY, 2016. 624 pp. Type: Book (978-4-431557-55-5)

Quantum information technologies is the name given to theories and applications of the principles of quantum mechanics as applied to computation and information processing. The former uses the properties of quantum mechanical objects to implement ...

Sep 16 2016
  Semantics of probabilistic processes: an operational approach
Deng Y.,  Springer Publishing Company, Incorporated, New York, NY, 2015. 249 pp. Type: Book (978-3-662451-97-7)

This is a good resource for understanding issues related to the semantic foundations of concurrent systems. The author especially examines bisimulation semantics and testing semantics....

Oct 20 2015
  Uncertainty theory (4th ed.)
Liu B.,  Springer Publishing Company, Incorporated, New York, NY, 2014. 487 pp. Type: Book (978-3-662443-53-8)

Reasoning with uncertainty in order to cope with phenomena that are indeterminate and cannot be predicted exactly has become one of the major challenges in the 21st century, particularly when no samples are, or can, become available, and hence no ...

Jul 8 2015
  Language equivalence of probabilistic pushdown automata
Forejt V., Janar P., Kiefer S., Worrell J.  Information and Computation 2371-11, 2014. Type: Article

A probabilistic pushdown automaton (PDA) maps a state and a letter on top of the pushdown stack to a probability distribution over states and stack actions (pushes and pops). Thus, it lies between a deterministic and a nondeterministic PDA. Equiva...

Jan 26 2015
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