Author : Sarit Kraus
Publisher :
Page : pages
File Size : 19,90 MB
Release : 2019
Category :
ISBN : 9780999241141
Author : An Zeng
Publisher : Springer Nature
Page : 348 pages
File Size : 41,32 MB
Release : 2019-11-09
Category : Computers
ISBN : 9811513988
This book constitutes the refereed proceedings of the workshop held in conjunction with the 28th International Conference on Artificial Intelligence, IJCAI 2019, held in Macao, China, in August 2019: the First International Workshop on Human Brain and Artificial Intelligence, HBAI 2019. The 24 full papers presented were carefully reviewed and selected from 62 submissions. The papers are organized according to the following topical headings: computational brain science and its applications; brain-inspired artificial intelligence and its applications.
Author : Mohammad Shorif Uddin
Publisher : Springer Nature
Page : 551 pages
File Size : 43,75 MB
Release : 2021-05-17
Category : Technology & Engineering
ISBN : 9811605866
This book gathers outstanding research papers presented at the International Joint Conference on Advances in Computational Intelligence (IJCACI 2020), organized by Daffodil International University (DIU) and Jahangirnagar University (JU) in Bangladesh and South Asian University (SAU) in India. These proceedings present novel contributions in the areas of computational intelligence and offer valuable reference material for advanced research. The topics covered include collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.
Author : Qiang Yang
Publisher : Cambridge University Press
Page : 394 pages
File Size : 14,23 MB
Release : 2020-02-13
Category : Computers
ISBN : 1108860087
Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.
Author : Byeong Ho Kang
Publisher : Springer
Page : 731 pages
File Size : 38,19 MB
Release : 2016-11-25
Category : Computers
ISBN : 3319501275
This book constitutes the refereed proceedings of the 29th Australasian Joint Conference on Artificial Intelligence, AI 2016, held in Hobart, TAS, Australia, in December 2016. The 40 full papers and 18 short papers presented together with 8 invited short papers were carefully reviewed and selected from 121 submissions. The papers are organized in topical sections on agents and multiagent systems; AI applications and innovations; big data; constraint satisfaction, search and optimisation; knowledge representation and reasoning; machine learning and data mining; social intelligence; and text mining and NLP. The proceedings also contains 2 contributions of the AI 2016 doctoral consortium and 6 contributions of the SMA 2016.
Author : Christophe Lecoutre
Publisher : John Wiley & Sons
Page : 461 pages
File Size : 34,31 MB
Release : 2013-03-01
Category : Computers
ISBN : 1118617916
A major challenge in constraint programming is to develop efficient generic approaches to solve instances of the constraint satisfaction problem (CSP). With this aim in mind, this book provides an accessible synthesis of the author's research and work in this area, divided into four main topics: representation, inference, search, and learning. The results obtained and reproduced in this book have a wide applicability, regardless of the nature of the problem to be solved or the type of constraints involved, making it an extremely user-friendly resource for those involved in this field.
Author : Christophe Sabourin
Publisher : Springer Nature
Page : 158 pages
File Size : 13,22 MB
Release : 2021-03-22
Category : Technology & Engineering
ISBN : 3030647315
This present book includes a set of selected revised and extended versions of the best papers presented at the 10th International Joint Conference on Computational Intelligence (IJCCI 2018), held in Seville, Spain, from 18 to 20 September 2018, which covers four thriving fields in Computational Intelligence: Evolutionary Computation, Fuzzy Computation, Neural Computation, and Cognitive and Hybrid Systems. Besides presenting the recent advances in these areas, the book aims, on the one hand, to aggregate new and innovative solutions for confirmed researchers and, on the other hand, to provide a source of information and/or inspiration for young researchers or learners interested in the ever-increasing and current field of Computational Intelligence. This book constitutes a precious provision of knowledge for individual researchers as well as representing a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fields of applications.
Author : William A. Gale
Publisher : Addison Wesley Publishing Company
Page : 440 pages
File Size : 35,41 MB
Release : 1986
Category : Computers
ISBN :
A statistical view of uncertainty in expert systems. Knowledge, decision making, and uncertainty. Conceptual clustering and its relation to numerical taxonomy. Learning rates in supervised and unsupervised intelligent systems. Pinpoint good hypotheses with heuristics. Artificial intelligence approaches in statistics. REX review. Representing statistical computations: toward a deeper understanding. Student phase 1: a report on work in progress. Representing statistical knowledge for expert data analysis systems. Environments for supporting statistical strategy. Use of psychometric tools for knowledge acquisition: a case study. The analysis phase in development of knowledge based systems. Implementation and study of statistical strategy. Patterns in statisticalstrategy. A DIY guide to statistical strategy. An alphabet for statistician's expert systems.
Author : Flemming Nielson
Publisher : Springer
Page : 249 pages
File Size : 30,89 MB
Release : 2019-04-03
Category : Computers
ISBN : 9783030171377
This open access book constitutes the proceedings of the 8th International Conference on Principles of Security and Trust, POST 2019, which took place in Prague, Czech Republic, in April 2019, held as part of the European Joint Conference on Theory and Practice of Software, ETAPS 2019. The 10 papers presented in this volume were carefully reviewed and selected from 27 submissions. They deal with theoretical and foundational aspects of security and trust, including on new theoretical results, practical applications of existing foundational ideas, and innovative approaches stimulated by pressing practical problems.
Author : James Sacra Albus
Publisher : BYTE
Page : 376 pages
File Size : 11,21 MB
Release : 1981
Category : Medical
ISBN :
Mind and matter. The basic elements of the brain. Sensory input. The central nervous system. Hierarchical goal-directed behavior. A neurological model. Modeling the higher functions. Robots. Hierarchical robot-control systems. Artificial intelligence. Future applications. Economic, social, and political implications.
