Statistical Field Theory for Neural Networks
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Basic Elements of Computational Statistics
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Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
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Proven Impossible : Elementary Proofs of Profound Impossibility from Arrow, Bell, Chaitin, Godel, Turing and More
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Demystifying Deep Learning : An Introduction to the Mathematics of Neural Networks
Douglas J. (University of Kent, UK) Santry
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Reflections on the Foundations of Probability and Statistics : Essays in Honor of Teddy Seidenfeld
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Active Inference : 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13–15, 2023, Revised Selected Papers
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Advances in Optimization and Applications : 14th International Conference, OPTIMA 2023, Petrovac, Montenegro, September 18–22, 2023, Revised Selected Papers
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Artificial Intelligence Research : 4th Southern African Conference, SACAIR 2023, Muldersdrift, South Africa, December 4–8, 2023, Proceedings
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Verification, Model Checking, and Abstract Interpretation : 25th International Conference, VMCAI 2024, London, United Kingdom, January 15–16, 2024, Proceedings, Part II
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Mathematical Modeling and Supercomputer Technologies : 23rd International Conference, MMST 2023, Nizhny Novgorod, Russia, November 13–16, 2023, Revised Selected Papers
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Artificial Intelligence Logic and Applications : The 3rd International Conference, AILA 2023, Changchun, China, August 5–6, 2023, Proceedings
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Data Science and Machine Learning : 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11–13, 2023, Proceedings
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Enumerative Combinatorics: Volume 2
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Acta Numerica 2023: Volume 32
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Add to BasketLogic Functions and Equations : Fundamentals and Applications using the XBOOLE-Monitor
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Add to BasketIntegration in Finite Terms: Fundamental Sources
Clemens G. Raab
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