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Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence (Record no. 93427)

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001 - CONTROL NUMBER
control field 978-3-642-44958-1
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730190744.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131022s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642449581
-- 978-3-642-44958-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-44958-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA75.5-76.95
072 #7 - SUBJECT CATEGORY CODE
Subject category code UY
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM000000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UY
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004
Edition number 23
245 10 - TITLE STATEMENT
Title Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence
Medium [electronic resource] :
Remainder of title Papers from the Ray Solomonoff 85th Memorial Conference, Melbourne, VIC, Australia, November 30 -- December 2, 2011 /
Statement of responsibility, etc. edited by David L. Dowe.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2013.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin, Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2013.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 445 p. 61 illus.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 7070
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to Ray Solomonoff 85th Memorial Conference -- Ray Solomonoff and the New Probability -- Universal Heuristics: How Do Humans Solve "Unsolvable" Problems? -- Partial Match Distance -- Falsification and Future Performance -- The Semimeasure Property of Algorithmic Probability - "Feature" or "Bug"? -- Inductive Inference and Partition Exchangeability in Classification -- Learning in the Limit: A Mutational and Adaptive Approach -- Algorithmic Simplicity and Relevance -- Categorisation as Topographic Mapping between Uncorrelated Spaces -- Algorithmic Information Theory and Computational Complexity -- A Critical Survey of Some Competing Accounts of Concrete Digital Computation -- Further Reflections on the Timescale of AI -- Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL -- Complexity Measures for Meta-learning and Their Optimality -- Design of a Conscious Machine -- No Free Lunch versus Occam's Razor in Supervised Learning -- An Approximation of the Universal Intelligence Measure -- Minimum Message Length Analysis of the Behrens-Fisher Problem -- MMLD Inference of Multilayer Perceptrons -- An Optimal Superfarthingale and Its Convergence over a Computable Topological Space -- Diverse Consequences of Algorithmic Probability -- An Adaptive Compression Algorithm in a Deterministic World -- Toward an Algorithmic Metaphysics -- Limiting Context by Using the Web to Minimize Conceptual Jump Size -- Minimum Message Length Order Selection and Parameter Estimation of Moving Average Models -- Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction -- Locating a Discontinuity in a Piecewise-Smooth Periodic Function Using Bayes Estimation -- On the Application of Algorithmic Probability to Autoregressive Models -- Principles of Solomonoff Induction and AIXI -- MDL/Bayesian Criteria Based on Universal Coding/Measure -- Algorithmic Analogies to Kamae-Weiss Theorem on Normal Numbers -- (Non-)Equivalence ofUniversal Priors -- A Syntactic Approach to Prediction -- Developing Machine Intelligence within P2P Networks Using a Distributed Associative Memory.  .
520 ## - SUMMARY, ETC.
Summary, etc. Algorithmic probability and friends: Proceedings of the Ray Solomonoff 85th memorial conference is a collection of original work and surveys. The Solomonoff 85th memorial conference was held at Monash University's Clayton campus in Melbourne, Australia as a tribute to pioneer, Ray Solomonoff (1926-2009), honouring his various pioneering works - most particularly, his revolutionary insight in the early 1960s that the universality of Universal Turing Machines (UTMs) could be used for universal Bayesian prediction and artificial intelligence (machine learning). This work continues to increasingly influence and under-pin statistics, econometrics, machine learning, data mining, inductive inference, search algorithms, data compression, theories of (general) intelligence and philosophy of science - and applications of these areas. Ray not only envisioned this as the path to genuine artificial intelligence, but also, still in the 1960s, anticipated stages of progress in machine intelligence which would ultimately lead to machines surpassing human intelligence. Ray warned of the need to anticipate and discuss the potential consequences - and dangers - sooner rather than later. Possibly foremostly, Ray Solomonoff was a fine, happy, frugal and adventurous human being of gentle resolve who managed to fund himself while electing to conduct so much of his paradigm-changing research outside of the university system. The volume contains 35 papers pertaining to the abovementioned topics in tribute to Ray Solomonoff and his legacy.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer science.
9 (RLIN) 9832
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science.
9 (RLIN) 9832
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dowe, David L.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 143754
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 143755
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783642449574
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783642449598
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 7070
9 (RLIN) 143756
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-642-44958-1">https://doi.org/10.1007/978-3-642-44958-1</a>
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Koha item type eBooks-Lecture Notes in CS

No items available.