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Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence
David L. . Ed(S): Dowe
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Description for Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence
Paperback. This proceedings of the Ray Solomonoff 85th memorial conference, presents 35 papers on universal Bayesian prediction and artificial intelligence (machine learning). A tribute to Solomonoff's work, which influences modern data mining, econometrics and more. Editor(s): Dowe, David L. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 461 pages, 61 black & white illustrations, biography. BIC Classification: UY. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 24. Weight in Grams: 706.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
461
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
445
Place of Publication
Berlin, Germany
ISBN
9783642449574
SKU
V9783642449574
Shipping Time
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Ref
99-15
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