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[1] Vladimir Vovk,et al. Aggregating strategies , 1990, COLT '90.
[2] Vladimir Vovk,et al. Criterion of calibration for transductive confidence machine with limited feedback , 2006, Theor. Comput. Sci..
[3] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[4] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[5] Vladimir Vovk,et al. Predictions as Statements and Decisions , 2006, COLT.
[6] C. S. Wallace,et al. Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics) , 2005 .
[7] Harris Papadopoulos,et al. Qualified Prediction for Large Data Sets in the Case of Pattern Recognition , 2002, International Conference on Machine Learning and Applications.
[8] J. Sutherland. The Quark and the Jaguar , 1994 .
[9] B. Clarke. Discussion of the Papers by Rissanen, and by Wallace and Dowe , 1999, Comput. J..
[10] H. Hornich. Logik der Forschung , 1936 .
[11] G. Shafer. The Unity and Diversity of Probability , 1990 .
[12] J. Mill. A System of Logic , 1843 .
[13] M. Kendall. Theoretical Statistics , 1956, Nature.
[14] Per Martin-Löf,et al. The Definition of Random Sequences , 1966, Inf. Control..
[15] A. Gammerman,et al. Bayesian diagnostic probabilities without assuming independence of symptoms. , 1991, Methods of information in medicine.
[16] Edward R. Dougherty,et al. Is cross-validation valid for small-sample microarray classification? , 2004, Bioinform..
[17] David L. Dowe,et al. General Bayesian networks and asymmetric languages , 2003 .
[18] Vladimir Vapnik,et al. Estimation of Dependences Based on Empirical Data: Empirical Inference Science (Information Science and Statistics) , 2006 .
[19] A. Zeilinger,et al. Speakable and Unspeakable in Quantum Mechanics , 1989 .
[20] Vladimir Vovk,et al. Ridge Regression Confidence Machine , 2001, International Conference on Machine Learning.
[21] Vladimir Vovk,et al. On-line confidence machines are well-calibrated , 2002, The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings..
[22] Gábor Lugosi,et al. Prediction, learning, and games , 2006 .
[23] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[24] Alexander Gammerman,et al. Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines , 2005, Int. J. Neural Syst..
[25] V. Vovk. Competitive On‐line Statistics , 2001 .
[26] A. J. Gammerman,et al. Plant promoter prediction with confidence estimation , 2005, Nucleic acids research.
[27] Donald R. Jones,et al. A Taxonomy of Global Optimization Methods Based on Response Surfaces , 2001, J. Glob. Optim..
[28] W. Gasarch,et al. The Book Review Column 1 Coverage Untyped Systems Simple Types Recursive Types Higher-order Systems General Impression 3 Organization, and Contents of the Book , 2022 .
[29] M. Kohler. Wallace CS: Statistical and inductive inference by minimum message length , 2006 .
[30] David L. Dowe,et al. MML Inference of Oblique Decision Trees , 2004, Australian Conference on Artificial Intelligence.
[31] T. Kuhn,et al. The Structure of Scientific Revolutions. , 1964 .
[32] Vladimir Vovk,et al. Comparing the Bayes and Typicalness Frameworks , 2001, ECML.
[33] Lawrence D. Jackel,et al. Handwritten Digit Recognition with a Back-Propagation Network , 1989, NIPS.
[34] Juyang Weng,et al. Muddy Tasks and the Necessity of Autonomous Mental Development , 2005 .
[35] Alexander Gammerman,et al. Machine-Learning Applications of Algorithmic Randomness , 1999, ICML.
[36] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[37] Hans-Martin Gutmann,et al. A Radial Basis Function Method for Global Optimization , 2001, J. Glob. Optim..
[38] Peter Auer,et al. Using Confidence Bounds for Exploitation-Exploration Trade-offs , 2003, J. Mach. Learn. Res..
[39] Xiaohui Liu,et al. Consensus clustering and functional interpretation of gene-expression data , 2004, Genome Biology.
[40] Xiaohui Liu,et al. Robust Selection of Predictive Genes via a Simple Classifier , 2006, Applied bioinformatics.
[41] Péter Gács,et al. Uniform test of algorithmic randomness over a general space , 2003, Theor. Comput. Sci..
[42] Kevin B. Korb,et al. Calibration and the Evaluation of Predictive Learners , 1999, International Joint Conference on Artificial Intelligence.
[43] Harris Papadopoulos,et al. Inductive Confidence Machines for Regression , 2002, ECML.
[44] David L. Dowe,et al. Minimum Message Length and Kolmogorov Complexity , 1999, Comput. J..
[45] David L. Dowe,et al. Minimum message length and generalized Bayesian nets with asymmetric languages , 2005 .
[46] C. S. Wallace,et al. An Information Measure for Classification , 1968, Comput. J..
[47] David J. Hand,et al. Classifier Technology and the Illusion of Progress , 2006, math/0606441.
[48] A. Dempster. An overview of multivariate data analysis , 1971 .
[49] Ming Li,et al. An Introduction to Kolmogorov Complexity and Its Applications , 1997, Texts in Computer Science.