Coverart for item
The Resource Interval/probabilistic uncertainty and non-classical logics, Van-Nam Huynh [and others], (eds.)

Interval/probabilistic uncertainty and non-classical logics, Van-Nam Huynh [and others], (eds.)

Label
Interval/probabilistic uncertainty and non-classical logics
Title
Interval/probabilistic uncertainty and non-classical logics
Statement of responsibility
Van-Nam Huynh [and others], (eds.)
Contributor
Subject
Genre
Language
eng
Summary
Most successful applications of modern science and engineering, from discovering the human genome to predicting weather to controlling space missions, involve processing large amounts of data and large knowledge bases. The ability of computers to perform fast data and knowledge processing is based on the hardware support for super-fast elementary computer operations, such as performing arithmetic operations with (exactly known) numbers and performing logical operations with binary ("true"-"false") logical values. In practice, measurements are never 100% accurate. It is therefore necessary to find out how this input inaccuracy (uncertainty) affects the results of data processing. Sometimes, we know the corresponding probability distribution; sometimes, we only know the upper bounds on the measurement error -- which leads to interval bounds on the (unknown) actual value. Also, experts are usually not 100% certain about the statements included in the knowledge bases. A natural way to describe this uncertainty is to use non-classical logics (probabilistic, fuzzy, etc.). This book contains proceedings of the first international workshop that brought together researchers working on interval and probabilistic uncertainty and on non-classical logics. We hope that this workshop will lead to a boost in the much-needed collaboration between the uncertainty analysis and non-classical logic communities, and thus, to better processing of uncertainty
Member of
Cataloging source
GW5XE
Dewey number
003/.54
Illustrations
illustrations
Index
index present
LC call number
Q375
LC item number
.I57 2008eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Huynh, Van-Nam
Series statement
Advances in soft computing,
Series volume
46
http://library.link/vocab/subjectName
  • Uncertainty (Information theory)
  • Nonclassical mathematical logic
  • Probability measures
Label
Interval/probabilistic uncertainty and non-classical logics, Van-Nam Huynh [and others], (eds.)
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Front Matter; An Algebraic Approach to Substructural Logics -- An Overview; On Modeling of Uncertainty Measures and Observed Processes; Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overview; Trade-Off between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertainty; Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty; Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity
Dimensions
unknown
Extent
1 online resource (xviii, 375 pages)
Form of item
online
Isbn
9783540776635
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Specific material designation
remote
System control number
  • SPR261324792
  • ocn261324792
Label
Interval/probabilistic uncertainty and non-classical logics, Van-Nam Huynh [and others], (eds.)
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Front Matter; An Algebraic Approach to Substructural Logics -- An Overview; On Modeling of Uncertainty Measures and Observed Processes; Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overview; Trade-Off between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertainty; Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty; Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity
Dimensions
unknown
Extent
1 online resource (xviii, 375 pages)
Form of item
online
Isbn
9783540776635
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Specific material designation
remote
System control number
  • SPR261324792
  • ocn261324792

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