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Kohtaro Tadaki, “An extension of Chaitin's halting probability Ω to a measurement operator in an infinite dimensional quantum system”, MLQ - Math Log Quart, 52:5 (2006), 419
Sean Devine, “The application of algorithmic information theory to noisy patterned strings”, Complexity, 12:2 (2006), 52
Jan Poland, Marcus Hutter, “MDL convergence speed for Bernoulli sequences”, Stat Comput, 16:2 (2006), 161
Marcus Hutter, “Sequential predictions based on algorithmic complexity”, Journal of Computer and System Sciences, 72:1 (2006), 95
Marcus Hutter, “On generalized computable universal priors and their convergence”, Theoretical Computer Science, 364:1 (2006), 27
Andrej Muchnik, Alexei Semenov, “Effective bounds for convergence, descriptive complexity, and natural examples of simple and hypersimple sets”, Annals of Pure and Applied Logic, 141:3 (2006), 437
Richard Beigel, Harry Buhrman, Peter Fejer, Lance Fortnow, Piotr Grabowski, “Enumerations of the Kolmogorov function”, J. symb. log, 71:02 (2006), 501
Marcus Hutter, Lecture Notes in Computer Science, 3959, Theory and Applications of Models of Computation, 2006, 408
Maria Lopez-Valdes, Lecture Notes in Computer Science, 4162, Mathematical Foundations of Computer Science 2006, 2006, 693
Lance Fortnow, Troy Lee, Nikolai Vereshchagin, Lecture Notes in Computer Science, 3884, STACS 2006, 2006, 137
J. Poland, M. Hutter, “Asymptotics of Discrete MDL for Online Prediction”, IEEE Trans Inform Theory, 51:11 (2005), 3780
Jack H. Lutz, “Effective fractal dimensions”, MLQ - Math Log Quart, 51:1 (2005), 62
B. Ya. Ryabko, V. A. Monarev, “Experimental Investigation of Forecasting Methods
Based on Data Compression Algorithms”, Problems Inform. Transmission, 41:1 (2005), 65–69
Michael V. Vyugin, Vladimir V. V’yugin, “Predictive complexity and information”, Journal of Computer and System Sciences, 70:4 (2005), 539
Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin, “How many strings are easy to predict?”, Information and Computation, 201:1 (2005), 55
Troy Lee, Andrei Romashchenko, “Resource bounded symmetry of information revisited”, Theoretical Computer Science, 345:2-3 (2005), 386
Peter Gács, “Uniform test of algorithmic randomness over a general space”, Theoretical Computer Science, 341:1-3 (2005), 91
Ludwig Staiger, “Constructive dimension equals Kolmogorov complexity”, Information Processing Letters, 93:3 (2005), 149
Verónica Becher, Santiago Figueira, André Nies, Silvana Picchi, “Program Size Complexity for Possibly Infinite Computations”, Notre Dame J. Formal Logic, 46:1 (2005)
David Doty, Xiaoyang Gu, Jack H. Lutz, Elvira Mayordomo, Philippe Moser, Lecture Notes in Computer Science, 3618, Mathematical Foundations of Computer Science 2005, 2005, 283
Peter Gács, Encyclopedia of Statistical Sciences, 2005
H. Takahashi, IEEE Information Theory Workshop, 2005., 2005, 4 pp.
Alexey Chernov, Marcus Hutter, Lecture Notes in Computer Science, 3734, Algorithmic Learning Theory, 2005, 414
H. Takahashi, “Redundancy of Universal Coding, Kolmogorov Complexity, and Hausdorff Dimension”, IEEE Trans Inform Theory, 50:11 (2004), 2727
A. Yu. Khrennikov, Sh. Yamada, “On the concept of random sequence with respect
to $p$-adic valued probabilities”, Theory Probab. Appl., 49:1 (2005), 65–76
Rod G. Downey, Denis R. Hirschfeldt, Geoff LaForte, “Randomness and reducibility”, Journal of Computer and System Sciences, 68:1 (2004), 96
Mark Burgin, “Algorithmic complexity of recursive and inductive algorithms”, Theoretical Computer Science, 317:1-3 (2004), 31
Jan Poland, “A coding theorem for Enumerable Output Machines”, Information Processing Letters, 91:4 (2004), 157
Liang Yu, Decheng Ding, Rodney Downey, “The Kolmogorov complexity of random reals”, Annals of Pure and Applied Logic, 129:1-3 (2004), 163
Lowe B., Piwinger B., Rasch T., “Classical and New Paradigms of Computation and their Complexity Hierarchies - Papers of the Conference “Foundations of the Formal Sciences III{””, Classical and New Paradigms of Computation and their Complexity Hierarchies, Trends in Logic Studia Logica Library, 23, eds. Lowe B., Piwinger B., Rasch T., Springer, 2004, VII+
Jan Poland, Marcus Hutter, Lecture Notes in Computer Science, 3244, Algorithmic Learning Theory, 2004, 294
Rod Downey, Lecture Notes in Computer Science, 3153, Mathematical Foundations of Computer Science 2004, 2004, 42
Jan Poland, Marcus Hutter, Lecture Notes in Computer Science, 3120, Learning Theory, 2004, 300
Troy Lee, Andrei Romashchenko, Lecture Notes in Computer Science, 3153, Mathematical Foundations of Computer Science 2004, 2004, 463
Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin, Lecture Notes in Computer Science, 3244, Algorithmic Learning Theory, 2004, 249
Marcus Hutter, Andrej Muchnik, Lecture Notes in Computer Science, 3244, Algorithmic Learning Theory, 2004, 234
Rod Downey, Evan Griffiths, Geoffrey Laforte, “On Schnorr and computable randomness, martingales, and machines”, Mathematical Logic Qtrly, 50:6 (2004), 613
Marcus Hutter, “Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet”, J Machine Learning Res, 4:6 (2003), 971
D.M. Sow, A. Eleftheriadis, “Complexity distortion theory”, IEEE Trans Inform Theory, 49:3 (2003), 604
V. V. V'yugin, “Problems of Robustness for Universal Coding Schemes”, Problems Inform. Transmission, 39:1 (2003), 32–46
L. A. Levin, “One-Way Functions”, Problems Inform. Transmission, 39:1 (2003), 92–103
A. E. Romashchenko, “A Criterion of Extractability of the Mutual Information for a Triple
of Strings”, Problems Inform. Transmission, 39:1 (2003), 148–157
Peter Hertling, Klaus Weihrauch, “Random elements in effective topological spaces with measure”, Information and Computation, 181:1 (2003), 32
Jack H. Lutz, “The dimensions of individual strings and sequences”, Information and Computation, 187:1 (2003), 49
Hayato Takahashi, Kazuyuki Aihara, “Algorithmic analysis of irrational rotations in a single neuron model”, Journal of Complexity, 19:2 (2003), 132
John M. Hitchcock, “Gales suffice for constructive dimension”, Information Processing Letters, 86:1 (2003), 9
A. Romashchenko, 18th IEEE Annual Conference on Computational Complexity, 2003. Proceedings., 2003, 221
Stephen R. Tate, Lossless Compression Handbook, 2003, 35
J. Suzuki, B. Ryabko, IEEE International Symposium on Information Theory, 2003. Proceedings., 2003, 113
Yuri Kalnishkan, Volodya Vovk, Michael V. Vyugin, Lecture Notes in Computer Science, 2777, Learning Theory and Kernel Machines, 2003, 522
Marcus Hutter, Lecture Notes in Computer Science, 2842, Algorithmic Learning Theory, 2003, 298
Christa Sommerer, Laurent Mignonneau, Art and Complexity, 2003, 85
Marcus Hutter, Lecture Notes in Computer Science, 2777, Learning Theory and Kernel Machines, 2003, 506
Alexander Nabutovsky, Shmuel Weinberger, “The Fractal Nature of Riem/Diff I”, Geometriae Dedicata, 101:1 (2003), 1
A. Yu. Khrennikov, “Interpretations of Probability and Their p-Adic Extensions”, Theory Probab Appl, 46:2 (2002), 256
V.V. V'yugin, “Suboptimal Measures of Predictive Complexity for Absolute Loss Function”, Information and Computation, 175:2 (2002), 146
Michael V Vyugin, Vladimir V V'yugin, “On Complexity of Easy Predictable Sequences”, Information and Computation, 178:1 (2002), 241
Yuri Kalnishkan, “General linear relations between different types of predictive complexity”, Theoretical Computer Science, 271:1-2 (2002), 181
Bruno Durand, Alexander Shen, Nikolai Vereshchagin, “Descriptive complexity of computable sequences”, Theoretical Computer Science, 271:1-2 (2002), 47
Nikolai K. Vereshchagin, “Kolmogorov complexity conditional to large integers”, Theoretical Computer Science, 271:1-2 (2002), 59
Bruno Durand, Sylvain Porrot, “Comparison between the complexity of a function and the complexity of its graph”, Theoretical Computer Science, 271:1-2 (2002), 37
MARCUS HUTTER, “THE FASTEST AND SHORTEST ALGORITHM FOR ALL WELL-DEFINED PROBLEMS”, Int. J. Found. Comput. Sci, 13:03 (2002), 431
Ludwig Staiger, “The Kolmogorov complexity of real numbers”, Theoretical Computer Science, 284:2 (2002), 455
P. Gaspard, Lecture Notes in Physics, 597, Dynamics of Dissipation, 2002, 111
L.A. Levin, The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings., 2002, 761
Michael V. Vyugin, Vladimir V. V'yugin, Lecture Notes in Computer Science, 2375, Computational Learning Theory, 2002, 90
Marcus Hutter, “New Error Bounds for Solomonoff Prediction”, Journal of Computer and System Sciences, 62:4 (2001), 653
V.V V'yugin, “Most Sequences Are Stochastic”, Information and Computation, 169:2 (2001), 252
Marcus Hutter, Lecture Notes in Computer Science, 2167, Machine Learning: ECML 2001, 2001, 239
Ilia Nouretdinov, Volodya Vovk, Michael Vyugin, Alex Gammerman, Lecture Notes in Computer Science, 2111, Computational Learning Theory, 2001, 337
Victor Korotkich, Encyclopedia of Optimization, 2001, 1191
Michael V. Vyugin, Vladimir V. V'yugin, Lecture Notes in Computer Science, 2225, Algorithmic Learning Theory, 2001, 190
P.M.B. Vitanyi, Ming Li, “Minimum description length induction, Bayesianism, and Kolmogorov complexity”, IEEE Trans Inform Theory, 46:2 (2000), 446
A. E. Romashchenko, “Pairs of Words with Nonmaterializable Mutual Information”, Problems Inform. Transmission, 36:1 (2000), 1–18
C. Adami, N.J. Cerf, “Physical complexity of symbolic sequences”, Physica D: Nonlinear Phenomena, 137:1-2 (2000), 62
Daniel Hammer, Andrei Romashchenko, Alexander Shen, Nikolai Vereshchagin, “Inequalities for Shannon Entropy and Kolmogorov Complexity”, Journal of Computer and System Sciences, 60:2 (2000), 442
Ludwig Staiger, Numbers, Information and Complexity, 2000, 403
Jose Hernandez-Orallo, “Beyond the Turing Test”, Journal of Logic, Language and Information, 9:4 (2000), 447
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Yuri Kalnishkan, Proceedings of the twelfth annual conference on Computational learning theory, 1999, 226
Bruno Durand, Alexander Shen, Nikolai Vereshagin, Lecture Notes in Computer Science, 1563, STACS 99, 1999, 153
C.H. Bennett, P. Gacs, Ming Li, M.B. Vitanyi, W.H. Zurek, “Information distance”, IEEE Trans Inform Theory, 44:4 (1998), 1407
Andrei A. Muchnik, Alexei L. Semenov, Vladimir A. Uspensky, “Mathematical metaphysics of randomness”, Theoretical Computer Science, 207:2 (1998), 263
Peter Hertling, Klaus Weihrauch, Lecture Notes in Computer Science, 1443, Automata, Languages and Programming, 1998, 796
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En-hui Yang, Zhen Zhang, T. Berger, “Fixed-slope universal lossy data compression”, IEEE Trans Inform Theory, 43:5 (1997), 1465
Jürgen Schmidhuber, “Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability”, Neural Networks, 10:5 (1997), 857
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Ming Li, Paul Vitányi, An Introduction to Kolmogorov Complexity and Its Applications, 1997, 239
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Tao Jiang, Joel I. Seiferas, Paul M. B. Vitányi, “Two heads are better than two tapes”, J. ACM, 44:2 (1997), 237
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Paul Vitányi, Ming Li, Lecture Notes in Computer Science, 1224, Machine Learning: ECML-97, 1997, 14
J.C. Kieffer, En-hui Yang, “Sequential codes, lossless compression of individual sequences, and Kolmogorov complexity”, IEEE Trans Inform Theory, 42:1 (1996), 29
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I. G. Zhurbenko, O. S. Smirnova, “On an algorithm to generate weakly correlated random numbers”, J Math Sci, 75:2 (1995), 1576
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Charles H. Bennett, Computerkultur, 2, The Universal Turing Machine A Half-Century Survey, 1995, 207
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V. G. Vovk, V. V. V'Yugin, “Prequential Level of Impossibility with Some Applications”, Journal of the Royal Statistical Society Series B: Statistical Methodology, 56:1 (1994), 115
P. Gacs, Proceedings Workshop on Physics and Computation. PhysComp '94, 1994, 209
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Jean-Paul Delahaye, Philosophy of Probability, 1993, 145
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Ming Li, Paul M.B. Vitányi, “Average case complexity under the universal distribution equals worst-case complexity”, Information Processing Letters, 42:3 (1992), 145
Vladimir A. Uspensky, Kolmogorov Complexity and Computational Complexity, 1992, 85
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Ming Li, Paul Vitányi, SIAM J. Comput, 20:5 (1991), 911
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