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High-Dimensional Optimization and Probability

With a View Towards Data Science

Ashkan Nikeghbali,Panos M. Pardalos,Andrei M. Raigorodskii,Michael Th. Rassias

Mathematics and Statistics (R0)

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Synopse

Kategorie

O knize

Jazyk:English
ISBN:9783031008320
Datum vydání:4. 8. 2022
Vydavatel:Springer International Publishing

Tiráž:Springer
Formát souboru:EPUB3
Velikost souboru:30.08 MB
Možnosti stahování:EPUB3 (Adobe DRM)

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Optimization, Discrete Mathematics and Applications to Data Sciences

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Nastavení ochrany vašich osobních údajů

High-Dimensional Optimization and Probability

Synopse

O knize

Podrobnosti o knize

Jak číst

V této sérii

Optimization, Discrete Mathematics and Applications to Data Sciences

Související čtení

Regularized System Identification

Hands-On Mathematics for Deep Learning

Probabilistic Machine Learning

Machine Learning - A Journey To Deep Learning: With Exercises And Answers

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Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications

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Discrete Calculus

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Artificial Intelligence and Causal Inference

Variational Methods for Machine Learning with Applications to Deep Networks

Recent Advances in Algorithmic Differentiation

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Braverman Readings in Machine Learning. Key Ideas from Inception to Current State

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Optimization and Control Techniques and Applications

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Compressed Sensing & Sparse Filtering

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Optimization and Applications

Optimization and Applications

Structural, Syntactic, and Statistical Pattern Recognition

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Optimization and Applications

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Analysis and Synthesis of Dynamic Systems with Positive Characteristics

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Clusters, Orders, and Trees: Methods and Applications

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Numerical Methods and Applications

Introduction to Time-Delay Systems

Geometry of Deep Learning

Machine Learning and Knowledge Discovery in Databases

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Systems Modelling and Optimization Proceedings of the 18th IFIP TC7 Conference

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Mathematical Optimization Theory and Operations Research

Empirical Approach to Machine Learning

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Excursions in Harmonic Analysis, Volume 4

Numerical Linear Algebra in Signals, Systems and Control

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Advances in Modeling and Simulation

Kernel Mode Decomposition and the Programming of Kernels