Mathematics

Mathematics and Theory in Deep Learning with Aleksandr Petiushko
Fireside chat about the importance of Math and Theory for ML/DL roles.
Nov 9, 2022 12:00 AM DLS Podcasts
Aleksandr Petiushko Александр Петюшко
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Mathematics and Theory in Deep Learning with Aleksandr Petiushko
Artificial Intelligence: Problems and Prospects
Fireside chat of the Mathematical Theory of Intelligent Systems chair about the Artificial Intelligence.
Valery Kudryavtsev, Vadim Kozlov, Aleksandr Ryzhov, Ivan Mazurenko, Grigory Bokov, Aleksandr Petiushko Александр Петюшко
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Artificial Intelligence: Problems and Prospects
Method of Optimal Non-linear Stretching of Symmetric Matrices for Recognition Tasks
Ivan Mazurenko, Aleksandr Petiushko Александр Петюшко
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Method of Optimal Non-linear Stretching of Symmetric Matrices for Recognition Tasks
On Optimal Non-linear Stretching of Self-comparison Matrices for 1D Signals
Aleksandr Petiushko Александр Петюшко, Ivan Mazurenko
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On Optimal Non-linear Stretching of Self-comparison Matrices for 1D Signals
Chomsky Hierarchy for Matrices of Bigram Languages
Aleksandr Petiushko Александр Петюшко, Dmitry Babin
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Chomsky Hierarchy for Matrices of Bigram Languages
On Context-free Bigram Languages
The paper studies the properties of infinite context-free bigram formal languages.
Aleksandr Petiushko Александр Петюшко
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On Context-free Bigram Languages
On Cardinality of Bigram Languages
Exact formula and its approximation for different types of Bigram Languages.
Aleksandr Petiushko Александр Петюшко
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On Cardinality of Bigram Languages
On Ring Bigram Languages
Aleksandr Petiushko Александр Петюшко
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On Ring Bigram Languages
On Bigram Languages
Introduction of new Bigram Languages, and regularity conditions.
Aleksandr Petiushko Александр Петюшко
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On Bigram Languages
On Cardinality of Bigram Languages
Exact formula and its approximation for different types of Bigram Languages.
Aleksandr Petiushko Александр Петюшко
PDF Cite Source Document DOI In Russian
On Cardinality of Bigram Languages