Trefferliste "Probabilistic Models" - alle Bücher

Ihre Suche nach "Probabilistic Models" (Bücher) ergab 10 Treffer.

Azhar Ul Haque Sario
Advanced Financial Modeling for Stock Price Prediction

Advanced Financial Modeling for Stock Price Prediction: A Quantitative Methods Approach (Third Edition) This third volume in the "Stock Predictions" series builds on the success of the first edition, "St…

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Pedro H. M. Eid, Ricardo M. F. Martins, Nuno C. C. Lourenço, Filipe P. Azevedo
Efficient Analog Integrated Circuit Sizing with GenAI

This book focuses on the automation of analog integrated circuit design, particularly the sizing process. It introduces an innovative approach leveraging generative artificial intelligence, specifically d…

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Vitalii Babak, Artur Zaporozhets, Sergii Babak
Statistical Diagnostics of Electric Power Equipment

This book considers the issues of constructing mathematical probabilistic models of diagnostic signals, the development of statistical methods of their analysis in order to make diagnostic decisions and, …

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Azhar Ul Haque Sario
Financial Modeling Excellence

Financial Modeling Excellence: Innovative Approaches to Stock Predictions (Third Edition) provides a comprehensive and advanced exploration of various probabilistic models used in stock price predictions.…

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Pierre Brémaud
An Introduction to Applied Probability

This book provides the elements of probability and stochastic processes of direct interest to the applied sciences where probabilistic models play an important role, most notably in the information and co…

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Michael Hagmann, Stefan Riezler
Validity, Reliability, and Significance

This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science. The authors present problems of validity, reliabilit…

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Peter Zörnig
Probability Theory and Statistics with Real World Applications

De Gruyter Textbook

The idea of the book is to present a text that is useful for both students of quantitative sciences and practitioners who work with univariate or multivariate probabilistic models. Since the text should a…

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Jakub M. Tomczak
Deep Generative Modeling

This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models…

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Steven T. Hackman, Antonius B. Dieker
QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accuratel…

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Graphs in Biomedical Image Analysis

This book constitutes the refereed proceedings of the 6th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October…

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