Author : Sebastian Breker
Publisher : Infinite Study
Page : 10 pages
File Size : 49,42 MB
Release :
Category :
ISBN :
The use of expert knowledge is always more or less afflicted with uncertainties for many reasons: Expert knowledge may be imprecise, imperfect, or erroneous, for instance. If we ask several experts to label data (e.g., to assign class labels to given data objects, i.e. samples), we often state that these experts make different, sometimes conflicting statements.
Author : Ronald R. Yager
Publisher : Springer
Page : 813 pages
File Size : 50,77 MB
Release : 2008-01-22
Category : Technology & Engineering
ISBN : 354044792X
This is a collection of classic research papers on the Dempster-Shafer theory of belief functions. The book is the authoritative reference in the field of evidential reasoning and an important archival reference in a wide range of areas including uncertainty reasoning in artificial intelligence and decision making in economics, engineering, and management. The book includes a foreword reflecting the development of the theory in the last forty years.
Author : Witold Pedrycz
Publisher : Springer
Page : 360 pages
File Size : 17,97 MB
Release : 2019-11-04
Category : Technology & Engineering
ISBN : 9783030317591
This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm’s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.
Author : Natividad Martínez Madrid
Publisher : Springer Science & Business Media
Page : 294 pages
File Size : 37,54 MB
Release : 2009-02-18
Category : Technology & Engineering
ISBN : 1402098235
Intelligent technical systems are networked, embedded systems incorporating real-time capacities that are able to interact with and adapt to their environments. These systems need innovative approaches in order to meet requirements like cost, size, power and memory consumption, as well as real-time compliance and security. Intelligent Technical Systems covers different levels like multimedia systems, embedded programming, middleware platforms, sensor networks and autonomous systems and applications for intelligent engineering. Each level is discussed by a set of original articles summarizing the state of the art and presenting a concrete application; they include a deep discussion of their model and explain all design decisions relevant to obtain a mature solution.
Author : Alberto Del Bimbo
Publisher : Springer Nature
Page : 741 pages
File Size : 22,44 MB
Release : 2021-02-20
Category : Computers
ISBN : 3030687635
This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.
Author : Florentin Smarandache
Publisher :
Page : 110 pages
File Size : 39,19 MB
Release : 1998
Category : Mathematics
ISBN :
Author : Ronald R. Yager
Publisher :
Page : 654 pages
File Size : 47,9 MB
Release : 1982
Category : Mathematics
ISBN :
Author : Xin Guan
Publisher : Infinite Study
Page : 16 pages
File Size : 30,41 MB
Release :
Category : Mathematics
ISBN :
There are many unsatisfactory situations in the existing improvement methods of evidence theory, such as a large amount of calculation, the normalization process is unreasonable, the evidence combination effect is not ideal in the conflict evidence decision-making process, and so on. This paper proposes a method based on quadratic combination of conflict evidence to improve the above situations. Firstly, a new flow chart of conflict evidence decision method based on quadratic combination is proposed. Secondly, a new multiplicative normalization rule is proposed, and the new rule is analyzed to verify its rationality. Thirdly, the shortcomings of the existing conflict measurement methods are analyzed, a new conflict measurement function is proposed, and the rationality of the new function is analyzed. Finally, through the analysis of the example and comparison with the existing evidence combination rules, the effectiveness of the method of this paper is verified.
