Libri sul tema "Automaton inference"
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Lee, Won Don. Probabilistic inference. Urbana, Ill: Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.
Lee, Won Don. Probabilistic inference: Theory and practice. Urbana, Ill: Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.
Pouly, Marc. Generic Inference: A Unifying Theory for Automated Reasoning. Hoboken, New Jersey: Wiley, 2011.
Farreny, Henri. AI and expertise: Heuristic search, inference engines, automatic proving. Chichester: E. Horwood, 1989.
Varlamov, Oleg. Fundamentals of creating MIVAR expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1513119.
Varlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.
Higuera, Colin De La. Grammatical Inference: Learning Automata and Grammars. Cambridge University Press, 2010.
Higuera, Colin de la. Grammatical Inference: Learning Automata and Grammars. Cambridge University Press, 2010.
Higuera, Colin de la. Grammatical Inference: Learning Automata and Grammars. Cambridge University Press, 2014.
Higuera, Colin de la. Grammatical Inference: Learning Automata and Grammars. Cambridge University Press, 2010.
Higuera, Colin de la. Grammatical Inference: Learning Automata and Grammars. Cambridge University Press, 2011.
Farreny, Henri. AI & Expertise: Heuristic Search, Inference Engines, Automatic Proving. Prentice Hall, 1989.
Cappé, Olivier, Eric Moulines e Tobias Ryden. Inference in Hidden Markov Models. Springer, 2010.
Hadjicostis, Christoforos N. Estimation and Inference in Discrete Event Systems: A Model-Based Approach with Finite Automata. Springer International Publishing AG, 2020.
Hadjicostis, Christoforos N. Estimation and Inference in Discrete Event Systems: A Model-Based Approach with Finite Automata. Springer, 2019.
Zhou, Xuefeng. Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection. Springer Nature, 2020.
Wu, Hongmin, Zhihao Xu, Shuai Li, Xuefeng Zhou e Juan Rojas. Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection. Springer Singapore Pte. Limited, 2020.
Wu, Hongmin, Zhihao Xu, Shuai Li, Xuefeng Zhou e Juan Rojas. Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection. Springer Singapore Pte. Limited, 2020.
Ramonyai, Jerry. Data Science: Algorithm Analysis, Approximation, Automata, Bayesian Inference, Statistics, Science,TR6 Binary Tree, Bioinformatics, Algorithms, Complexity Theory, Computability and Research. Independently Published, 2022.
Hilton, Denis. Social Attribution and Explanation. A cura di Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.33.
Little, Max A. Machine Learning for Signal Processing. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198714934.001.0001.
Hatlebrekke, Kjetil Anders. The Problem of Secret Intelligence. Edinburgh University Press, 2019. http://dx.doi.org/10.3366/edinburgh/9780748691838.001.0001.