Showing results for "Graphical Models for Security English"

This book constitutes revised selected papers from the 5th International Workshop on Graphical Models for Security, GraMSec 2018, held in Oxford, UK, in July 2018.The 7 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The book also contains one invited talk. The contributions deal with the latest research and developments on graphical models for security.

This book constitutes the proceedings of the 7th International Workshop on Graphical Models for Security, GramSec 2020, which took place on June 22, 2020. The workshop was planned to take place in Boston, MA, USA but changed to a virtual format due to the COVID-19 pandemic.The 7 full and 3 short papers presented in this volume were carefully reviewed and selected from 14 submissions. The papers were organized in topical sections named: attack trees; attacks and risks modelling and ...

This volume constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Graphical Models for Security, GraMSec 2015, held in Verona, Italy, in July 2015.The 5 revised full papers presented together with one short tool paper and one invited lecture were carefully reviewed and selected from 13 submissions. The workshop contributes to the development of well-founded graphical security models, efficient algorithms for their analysis, as well ...

This book constitutes revised papers from the 6th International Workshop on Graphical Models for Security, GraMSec 2019, held in Hoboken, NJ, USA, in June 2019.The 8 full papers presented in this volume were carefully reviewed and selected from 15 submissions. The book also contains two invited talk. The contributions deal with the latest research and developments on graphical models for security.

This book constitutes revised selected papers from the 4th International Workshop on Graphical Models for Security, GraMSec 2017, held in Santa Barbara, CA, USA, in August 2017.The 5 full and 4 short papers presented in this volume were carefully reviewed and selected from 19 submissions. The book also contains one invited paper from the WISER project. The contributions deal with the latest research and developments on graphical models for security.

This book constitutes the refereed proceedings from the Third International Workshop on Graphical Models for Security, GraMSec 2016, held in Lisbon, Portugal, in June 2016.The 9 papers presented in this volume were carefully reviewed and selected from 23 submissions. The volume also contains the invited talk by Xinming Ou. GraMSec contributes to the development of well-founded graphical security models, efficient algorithms for their analysis, as well as methodologies for their prac...

Key FeaturesBook DescriptionProbabilistic Graphical Models is a technique in machine learning that uses the concepts of graph theory to compactly represent and optimally predict values in our data problems. In real world problems, it's often difficult to select the appropriate graphical model as well as the appropriate inference algorithm, which can make a huge difference in computation time and accuracy. Thus, it is crucial to know the working details...

Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way. By uniting probability theory, statistical inference, and graph theory, the book offers a systematic pathway from foundational principles to cutting-edge algorithms, including independence tests, the PC algorithm, LiNGAM, information criteria, and Bayesian methods. Far more than a theoretical treatment, this volume emphasizes hand...

Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way. By uniting probability theory, statistical inference, and graph theory, the book offers a systematic pathway from foundational principles to cutting-edge algorithms, including independence tests, the PC algorithm, LiNGAM, information criteria, and Bayesian methods. Far more than a theoretical treatment, this volume emphasizes hand...

This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS fo...

"The LLM Advantage: How to Harness the Power of Language, Logic, and Math Models for Your Business Success" is a comprehensive guide for individuals navigating the dynamic landscape of 21st-century business. Authored by Asish Dash, an experienced investor and entrepreneur with over a decade in technology startups, this book delves into the transformative realm of artificial intelligence, natural language processing, and data science.From ideation to execution to optimization, reade...

Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, ...