Tag: Probabilistic

Free Download Probabilistic Forecasts and Optimal Decisions
English | 2025 | ISBN: 139422186X | 540 Pages | PDF, EPUB (True) | 43 MB
Decision theory is a body of thought and research seeking to apply a mathematical-logical framework to assessing probability and optimizing decision-making. It has developed robust tools for addressing all major challenges to decision making. Yet the number of variables and uncertainties affecting each decision outcome, many of them beyond the decider’s control, mean that decision-making is far from a ‘solved problem’. The tools created by decision theory remain to be refined and applied to decisions in which uncertainties are prominent.

Free Download p-Bits and q-Bits: Probabilistic and Quantum Computing
English | 2025 | ISBN: 9811294496 | 304 Pages | PDF (True) | 52 MB
The material is adapted from a unique course that connects three diverse fields – statistical mechanics, neural networks and quantum computing – using the unifying concept of a state-space with 2N dimensions defined by N binary bits. First, the seminal concepts of statistical mechanics, developed to describe natural interacting systems, are described. Then, these concepts are connected to engineered interacting systems like Boltzmann Machines (BM), which are cleverly designed to solve problems in machine learning. Finally, we connect to engineered quantum systems, stressing the key role of quantum interference in distinguishing them from classical systems like BM.

Free Download Probabilistic Modeling in Bioinformatics and Medical Informatics by Dirk Husmeier, Richard Dybowski, Stephen Roberts
English | PDF (True) | 2005 | 511 Pages | ISBN : 1852337788 | 5.1 MB
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields – the methodology of probabilistic modeling, bioinformatics, and medical informatics – are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.

Free Download Measurement Uncertainties in Science and Technology
by Michael Grabe
English | 2024 | ISBN: 9783319048871 | 396 pages | True PDF | 9.05 MB

Free Download Probabilistic Indexing for Information Search and Retrieval in Large Collections of Handwritten Text Images by Alejandro Héctor Toselli , Joan Puigcerver , Enrique Vidal
English | PDF (True) | 2024 | 372 Pages | ISBN : 3031553888 | 13.2 MB
This book provides a comprehensive presentation of a recently introduced framework, named "probabilistic indexing" (PrIx), for searching text in large collections of document images and other related applications. It fosters the development of new search engines for effective information retrieval from manuscripts which, however, lack the electronic text (transcripts) that would typically be required for such search and retrieval tasks.

Free Download Probabilistic Machine Learning for Finance and Investing (Early Release) by Deepak Kanungo
English | 2022 | ISBN: 9781492097662 | 88 pages | PDF | 2.55 Mb
Whether based on academic theories or machine learning strategies, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory.

Free Download POPULATION DYNAMICS: ALGEBRAIC AND PROBABILISTIC APPROACH by Utkir a Rozikov
English | May 6, 2020 | ISBN: 9811211221 | 460 pages | MOBI | 67 Mb
A population is a summation of all the organisms of the same group or species, which live in a particular geographical area, and have the capability of interbreeding. The main mathematical problem for a given population is to carefully examine the evolution (time dependent dynamics) of the population. The mathematical methods used in the study of this problem are based on probability theory, stochastic processes, dynamical systems, nonlinear differential and difference equations, and (non-)associative algebras.

Free Download Probabilistic Conditional Independence Structures by Milan Studený
English | PDF | 2005 | 292 Pages | ISBN : 1852338911 | 2.4 MB
Probabilistic Conditional Independence Structures provides the mathematical description of probabilistic conditional independence structures; the author uses non-graphical methods of their description, and takes an algebraic approach.