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检索条件"主题词=algorithmic probability"
83 条 记 录,以下是1-10 订阅
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A Generalized Characterization of algorithmic probability
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THEORY OF COMPUTING SYSTEMS 2017年 第4期61卷 1337-1352页
作者: Sterkenburg, Tom F. Ctr Wiskunde & Informat Algorithms & Complex Grp Amsterdam Netherlands Univ Groningen Fac Philosophy Groningen Netherlands
An a priori semimeasure (also known as "algorithmic probability" or "the Solomonoff prior" in the context of inductive inference) is defined as the transformation, by a given universal monotone Tur... 详细信息
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Stationary algorithmic probability
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THEORETICAL COMPUTER SCIENCE 2010年 第1期411卷 113-130页
作者: Mueller, Markus Tech Univ Berlin Inst Math D-10623 Berlin Germany
Kolmogorov complexity and algorithmic probability are defined only up to an additive resp. multiplicative constant, since their actual values depend on the choice of the universal reference computer. In this paper, we... 详细信息
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The Semimeasure Property of algorithmic probability - "Feature" or "Bug"?
The Semimeasure Property of Algorithmic Probability - "Featu...
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Ray Solomonoff 85th Memorial Conference
作者: Campbell, Douglas Univ Canterbury Philosophy Programme Christchurch 8041 New Zealand
An unknown process is generating a sequence of symbols, drawn from an alphabet, A. Given an initial segment of the sequence, how can one predict the next symbol? Ray Solomonoff's theory of inductive reasoning rest... 详细信息
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Practical algorithmic probability: An Image Inpainting Example
Practical Algorithmic Probability: An Image Inpainting Examp...
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6th International Conference on Machine Vision (ICMV)
作者: Potapov, Alexey Scherbakov, Oleg Zhdanov, Innokentii Natl Res Univ Informat Technol St Petersburg Russia
Possibility of practical application of algorithmic probability is analyzed on an example of image inpainting problem that precisely corresponds to the prediction problem. Such consideration is fruitful both for the t... 详细信息
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On the Application of algorithmic probability to Autoregressive Models
On the Application of Algorithmic Probability to Autoregress...
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Ray Solomonoff 85th Memorial Conference
作者: Solomonoff, Ray J. Saleeby, Elias G. Alfaisal Univ Riyadh Saudi Arabia
Typically, the first step in carrying out predictions is to develop an inductive model. In many instances, the best model is used, and it is often selected based on certain relevant criteria that may possibly ignore s... 详细信息
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Simplicity bias, algorithmic probability, and the random logistic map
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PHYSICA D-NONLINEAR PHENOMENA 2024年 463卷
作者: Hamzi, Boumediene Dingle, Kamaludin Caltech Dept Comp & Math Sci Pasadena CA 91125 USA Alan Turing Inst London England Gulf Univ Sci & Technol Ctr Appl Math & Bioinformat Dept Math & Nat Sci Mubarak Al Abdullah Kuwait
Simplicity bias is an intriguing phenomenon prevalent in various input-output maps, characterized by a preference for simpler, more regular, or symmetric outputs. Notably, these maps typically feature high- probabilit... 详细信息
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Multiclass classification utilising an estimated algorithmic probability prior
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PHYSICA D-NONLINEAR PHENOMENA 2023年 448卷
作者: Dingle, Kamaludin Batlle, Pau Owhadi, Houman CALTECH Dept Comp & Math Sci Pasadena CA 91125 USA Gulf Univ Sci & Technol Ctr Appl Math & Bioinformat Dept Math & Nat Sci Hawally Kuwait
Methods of pattern recognition and machine learning are applied extensively in science, technology, and society. Hence, any advances in related theory may translate into large-scale impact. Here we explore how algorit... 详细信息
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Predicting phenotype transition probabilities via conditional algorithmic probability approximations
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JOURNAL OF THE ROYAL SOCIETY INTERFACE 2022年 第197期19卷 20220694-20220694页
作者: Dingle, Kamaludin Novev, Javor K. Ahnert, Sebastian E. Louis, Ard A. Univ Cambridge Dept Chem Engn & Biotechnol Cambridge CB2 1TN Cambs England CALTECH Dept Comp & Math Sci Pasadena CA 91125 USA Gulf Univ Sci & Technol Ctr Appl Math & Bioinformat CAMB Dept Math & Nat Sci Mubarak Al Abdullah 32093 Kuwait Univ Oxford Rudolf Peierls Ctr Theoret Phys Dept Phys Oxford OX1 2JD Oxon England
Unravelling the structure of genotype-phenotype (GP) maps is an important problem in biology. Recently, arguments inspired by algorithmic information theory (AIT) and Kolmogorov complexity have been invoked to uncover... 详细信息
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The probability of "undefined" (non-converging) output in generating the universal probability distribution
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INFORMATION PROCESSING LETTERS 2008年 第6期106卷 238-240页
作者: Solomonoff, Ray J. Univ London Comp Learning Res Ctr London WC1E 7HU England IDSIA CH-6928 Manno Lugano Switzerland
In order to generate a universal probability distribution to extrapolate a binary string x of length i, we feed random bits into a universal device, M. When we find an input string that gives an output matching x, we ... 详细信息
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Ray Solomonoff and the New probability
Ray Solomonoff and the New Probability
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Ray Solomonoff 85th Memorial Conference
作者: Solomonoff, Grace Oxbridge Res Cambridge MA 02140 USA
This is the story of Ray Solomonoff's Life and Times. He was there at Dartmouth in 1956 when Artificial Intelligence was first given its name, and took part in the major events during this unique era right up to h... 详细信息
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