Probabilistic and Causal Inference The Works of Judea Pearl

 
Probabilistic and Causal Inference The Works of Judea Pearl
Free Download Hector Geffner, Rita Dechter, Joseph Y. Halpern, "Probabilistic and Causal Inference: The Works of Judea Pearl"
English | 2022 | ISBN: 1450395864, 1450395872 | PDF | pages: 946 | 20.0 mb
Professor Judea Pearl won the 2011 Turing Award "for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning." This book contains the original articles that led to the award, as well as other seminal works, divided into four parts: heuristic search, probabilistic reasoning, causality, first period (1988-2001), and causality, recent period (2002-2020). Each of these parts starts with an introduction written by Judea Pearl. The volume also contains original, contributed articles by leading researchers that analyze, extend, or assess the influence of Pearl's work in different fields: from AI, Machine Learning, and Statistics to Cognitive Science, Philosophy, and the Social Sciences. The first part of the volume includes a biography, a transcript of his Turing Award Lecture, two interviews, and a selected bibliography annotated by him.


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The Probabilistic SIR Model (PSIR) in the Pandemic Process Project Management in Prevention and Support

 
The Probabilistic SIR Model (PSIR) in the Pandemic Process Project Management in Prevention and Support
Free Download The Probabilistic SIR Model (PSIR) in the Pandemic Process: Project Management in Prevention and Support
English | 2023 | ISBN: 3031311892 | 89 Pages | PDF EPUB (True) | 22 MB
With all the insights experienced in the COVID process, one essential remains: "The virus remains a constant companion". In contrast to regularly occurring infection processes, a COVID infection takes a different course. This is characterized by a dynamic that deviates from conventional, well-known processes in that the originators change their identity and develop corresponding variants. Therefore, preventive infection management - supported by statistical-probabilistic analyzes with PSIR - is important for preventive management of resources and infrastructure for the "waves ahead of the wave".


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Probabilistic Topic Models Foundation and Application

 
Probabilistic Topic Models Foundation and Application
Free Download Probabilistic Topic Models: Foundation and Application
English | 2023 | ISBN: 9819924308 | 227 Pages | PDF EPUB (True) | 13 MB
This book introduces readers to the theoretical foundation and application of topic models. It provides readers with efficient means to learn about the technical principles underlying topic models. More concretely, it covers topics such as fundamental concepts, topic model structures, approximate inference algorithms, and a range of methods used to create high-quality topic models. In addition, this book illustrates the applications of topic models applied in real-world scenarios. Readers will be instructed on the means to select and apply suitable models for specific real-world tasks, providing this book with greater use for the industry. Finally, the book presents a catalog of the most important topic models from the literature over the past decades, which can be referenced and indexed by researchers and engineers in related fields. We hope this book can bridge the gap between academic research and industrial application and help topic models play an increasingly effective role in both academia and industry.


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