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Academic literature on the topic 'Algorithmic probability theory'

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Books on the topic "Algorithmic probability theory"

1

Neuts, Marcel F. Algorithmic probability: A collection of problems. Chapman & Hall, 1995.

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2

Calude, Cristian. Information and Randomness: An Algorithmic Perspective. Springer Berlin Heidelberg, 1994.

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3

Universal artificial intelligence: Sequential decisions based on algorithmic probability. Springer, 2005.

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4

Nonlinear discrete optimization: An algorithmic theory. European Mathematical Society Publishing House, 2010.

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5

Habib, Michel. Probabilistic Methods for Algorithmic Discrete Mathematics. Springer Berlin Heidelberg, 1998.

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6

author, Sarich Marco 1985, ed. Metastability and Markov state models in molecular dynamics: Modeling, analysis, algorithmic approaches. American Mathematical Society, 2013.

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7

Dubhashi, Devdatt. Concentration of measure for the analysis of randomized algorithms. Cambridge University Press, 2012.

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8

Scheduling: Theory, Algorithms, and Systems. Springer New York, 2008.

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9

service), SpringerLink (Online, ed. Scheduling: Theory, Algorithms, and Systems. 4th ed. Springer US, 2012.

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10

Concentration of measure for the analysis of randomized algorithms. Cambridge University Press, 2009.

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