Information-theoretic approach to interactive learning
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[1] W. J. Studden,et al. Theory Of Optimal Experiments , 1972 .
[2] S. Addelman. Statistics for experimenters , 1978 .
[3] Editors , 1986, Brain Research Bulletin.
[4] Young,et al. Inferring statistical complexity. , 1989, Physical review letters.
[5] Rose,et al. Statistical mechanics and phase transitions in clustering. , 1990, Physical review letters.
[6] Stewart W. Wilson,et al. A Possibility for Implementing Curiosity and Boredom in Model-Building Neural Controllers , 1991 .
[7] David J. C. MacKay,et al. Information-Based Objective Functions for Active Data Selection , 1992, Neural Computation.
[8] T. Watkin,et al. THE STATISTICAL-MECHANICS OF LEARNING A RULE , 1993 .
[9] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[10] J. Crutchfield,et al. Thermodynamic depth of causal states: Objective complexity via minimal representations , 1999 .
[11] M. Opper,et al. Statistical mechanics of Support Vector networks. , 1998, cond-mat/9811421.
[12] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[13] Naftali Tishby,et al. The information bottleneck method , 2000, ArXiv.
[14] Christian Van den Broeck,et al. Statistical Mechanics of Learning , 2001 .
[15] R Urbanczik,et al. Universal learning curves of support vector machines. , 2001, Physical review letters.
[16] Manfred Opper,et al. Statistical mechanics of learning: a variational approach for real data. , 2002, Physical review letters.
[17] William Bialek,et al. How Many Clusters? An Information-Theoretic Perspective , 2003, Neural Computation.
[18] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[19] Sanjoy Dasgupta,et al. Coarse sample complexity bounds for active learning , 2005, NIPS.
[20] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[21] C. Rui. Optimal predictive inference in log -Gaussian random fields , 2009 .
[22] John Langford,et al. Agnostic active learning , 2006, J. Comput. Syst. Sci..
[23] Doina Precup,et al. An information-theoretic approach to curiosity-driven reinforcement learning , 2012, Theory in Biosciences.