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The principal aim of this book is to introduce to the widest possible audience an original view of belief calculus and uncertainty theory. In this geometric approach to uncertainty, uncertainty measures can be seen as points of a suitably complex geometric space, and manipulated in that space, for example, combined or conditioned. In the chapters in Part I, Theories of Uncertainty, the author offers an extensive recapitulation of the state of the art in the mathematics of uncertainty. This part of the book contains the most comprehensive summary to date of the whole of belief theory, with Chap. 4 outlining for the first time, and in a logical order, all the steps of the reasoning chain assoc...
The theory of belief functions, also known as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories. This volume contains the proceedings of the 2nd International Conference on Belief Functions that was held in Compiègne, France on 9-11 May 2012. It gathers 51 contributions describing recent developments both on theoretical issues (including approximation methods, combination rules, continuous belief functions, graphical models and independence concepts) and applications in various areas including classification, image processing, statistics and intelligent vehicles.
Historical Knowledge approaches the topic of historical knowledge in depth and from various angles. It seeks to offer theoretical and methodological building blocks for the use of anyone pursuing historical research. This book brings novel insights into classic and topical issues currently under debate: the importance of theory in historical thinking, the dialectic of “text” and “annotation”, the actor and observer levels, the relationship between the general and the individual, the issue of comparison, and the problem of sporadic sources and of understanding the singularity of each one. The overall theme of the book, the possibility of historical knowledge, reflects the very issue t...
This book constitutes the refereed proceedings of the 6th International Conference on Belief Functions, BELIEF 2021, held in Shanghai, China, in October 2021. The 30 full papers presented in this book were carefully selected and reviewed from 37 submissions. The papers cover a wide range on theoretical aspects on mathematical foundations, statistical inference as well as on applications in various areas including classification, clustering, data fusion, image processing, and much more.
This book constitutes the refereed proceedings of the 7th International Conference on Belief Functions, BELIEF 2022, held in Paris, France, in October 2022. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well-understood connections to other frameworks such as probability, possibility, and imprecise probability theories. It has been applied in diverse areas such as machine learning, information fusion, and pattern recognition. The 29 full papers presented in this book were carefully selected and reviewed from 31 submissions. The papers cover a wide range on theoretical aspects on mathematical foundations, statistical inference as well as on applications in various areas including classification, clustering, data fusion, image processing, and much more.
This book constitutes the thoroughly refereed proceedings of the Third International Conference on Belief Functions, BELIEF 2014, held in Oxford, UK, in September 2014. The 47 revised full papers presented in this book were carefully selected and reviewed from 56 submissions. The papers are organized in topical sections on belief combination; machine learning; applications; theory; networks; information fusion; data association; and geometry.
This is a completely revised and expanded second edition of The Broadway Song Companion, the first complete guide and access point to the vast literature of the Broadway musical for the solo performer. Designed with the working actor in mind, the volume lists every song from over 300 Broadway shows, including at least 90 more than the first edition. Organized by show, each song is annotated with the name of the character(s) who sing(s) the song, the vocal range, and a style category, such as uptempo, narrative ballad, swing ballad, moderate character piece, etc. Several indexes are supplied, organizing the songs by voice type (soprano, baritone, etc.) and song style, vocal arrangement (duets, trios, chorus, etc.), and composer and lyricist, allowing increased access to the repertoire. For instance, a soprano looking for a ballad to sing will find every song in that category in the index. All solos, duets, and trios are indexed in this manner, with quartets and larger ensembles listed by voice type. Furthermore, the instant breakdowns (how many lead characters, who sings what song, and the range requirements of each character) will be a valuable resource to directors and producers.
James B. Given analyzes the inquisition in one French region in order to develop a sociology of medieval politics. Established in the early thirteenth century to combat widespread popular heresy, inquisitorial tribunals identified, prosecuted, and punished heretics and their supporters. The inquisition in Languedoc was the best documented of these tribunals because the inquisitors aggressively used the developing techniques of writing and record keeping to build cases and extract confessions.Using a Marxist and Foucauldian approach, Given focuses on three inquiries: what techniques of investigation, interrogation, and punishment the inquisitors worked out in the course of their struggle agai...
The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017. The 70 revised full papers presented together with 45 short papers and 3 invited talks were carefully reviewed and selected from 180 submissions. They are organized in topical sections: constraints, planning, and optimization; data mining and machine learning; sensors, signal processing, and data fusion; recommender systems; decision support systems; knowledge representation and reasoning; navigation, control, and autonome agents; sentiment analysis and social media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy and artificial intelligence; applications of argumentation; intelligent systems in healthcare and mhealth for health outcomes; and innovative applications of textual analysis based on AI.