Probabilistic Reasoning in Intelligent Systems (The Morgan Kaufmann Series in Representation & Reasoning)
by Judea Pearl
Textbook offers an accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. For graduate-level courses in AI, operations research, and applied probability. Annotation copyright Book News, Inc. Portland, Or.
Im diesem aktuellen Lehrbuchklassiker hat John R. Anderson die modernen Erkenntnisse der Gehirnforschung und der experimentellen Kognitionswissenschaft zusammengefuhrt. Die Neuauflage ist angereichert mit neuen Erkenntnissen aus den Themengebieten Gedachtnis, Emotion und Spracherwerb (inkl. dem Erlernen einer Fremdsprache) und dem Vergleich von 'Artificial Intelligence' vs 'Human Intelligence' sowie Erkenntnissen aus der kognitiven Neurowissenschaft. Der Leser erhalt einen fundierten und gut ver...
Views on Evolvability of Embedded Systems (Embedded Systems)
Evolvability, the ability to respond effectively to change, represents a major challenge to today's high-end embedded systems, such as those developed in the medical domain by Philips Healthcare. These systems are typically developed by multi-disciplinary teams, located around the world, and are in constant need of upgrading to provide new advanced features, to deal with obsolescence, and to exploit emerging enabling technologies. Despite the importance of evolvability for these types of systems...
Deep Learning to See (SpringerBriefs in Computer Science)
by Marco Gori, Alessandro Betti, and Stefano Melacci
The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this work criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of information-based laws of nature. This work poses fundamental questions about vision that remain far from...
Humanitarian Logistics from the Disaster Risk Reduction Perspective
This book aims to clarify the priorities of the Sendai Framework for the DRR 2015 - 2030, through gathering recent contributions addressing the different ways researchers define, measure, reduce, and manage risk in the challenge of the DRR. Beyond a discussion of the different definitions of disaster risk; this book provides contributions focused on optimization approaches that support the decision-making process in the challenge of managing DRR problems considering emerging disaster risks in th...
Current Issues in Expert Systems (International lecture series in computer Science)
Neural Networks and Artificial Intelligence (Communications in Computer and Information Science, #440)
This book constitutes the refereed proceedings of the 8th International Conference on Neural Networks and Artificial Intelligence, ICNNAI 2014, held in Brest, Belarus, in June 2014. The 19 revised full papers presented were carefully reviewed and selected from 27 submissions. The papers are organized in topical sections on forest resource management; artificial intelligence by neural networks; optimization; classification; fuzzy approach; machine intelligence; analytical approach; mobile robot;...
IoT and AI Technologies for Sustainable Living
This book brings together all the latest methodologies, tools and techniques related to the Internet of Things and Artificial Intelligence in a single volume to build insight into their use in the sustainable living. The applications include areas such as agriculture, smart farming, healthcare, bioinformatics, self-diagnosis system, body sensor network, multimedia mining, multimedia in forensics and security. It provides a comprehensive discussion of modeling and implementation in water resourc...
Artificial Intelligence and Scientific Method
by Reader in History and Philosophy of Science Department of Philosophy Donald Gillies
Asynchronous Sequential Machine Design and Analysis (Synthesis Lectures on Digital Circuits and Systems)
by Richard Tinder
Asynchronous Sequential Machine Design and Analysis provides a lucid, in-depth treatment of asynchronous state machine design and analysis presented in two parts: Part I on the background fundamentals related to asynchronous sequential logic circuits generally, and Part II on self-timed systems, high-performance asynchronous programmable sequencers, and arbiters. Part I provides a detailed review of the background fundamentals for the design and analysis of asynchronous finite state machines (F...
Intelligent Systems'2014 (Advances in Intelligent Systems and Computing, #323)
This two volume set of books constitutes the proceedings of the 2014 7th IEEE International Conference Intelligent Systems (IS), or IEEE IS'2014 for short, held on September 24-26, 2014 in Warsaw, Poland. Moreover, it contains some selected papers from the collocated IWIFSGN'2014-Thirteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets.The conference was organized by the Systems Research Institute, Polish Academy of Sciences, Department IV of Engineering Sciences, Poli...
This book constitutes the proceedings of the 15th International Conference on Web Information Systems Engineering, WISE 2014, held in Thessaloniki, Greece, in October 2014. The 52 full papers, 16 short and 14 poster papers, presented in the two-volume proceedings LNCS 8786 and 8787 were carefully reviewed and selected from 196 submissions. They are organized in topical sections named: Web mining, modeling and classification; Web querying and searching; Web recommendation and personalization; se...
Knowledge Engineering and the Semantic Web (Communications in Computer and Information Science, #468)
This book constitutes the refereed proceedings of the 4th Conference on Knowledge Engineering and the Semantic Web, KESW 2013, held in St. Petersburg, Russia, in October 2013. The 18 revised full papers presented together with 7 short system descriptions were carefully reviewed and selected from 52 submissions. The papers address research issues related to knowledge representation, semantic web, and linked data.
Driver Drowsiness Detection (SpringerBriefs in Computer Science) ()
by Aleksandar Colic, Oge Marques, and Borko Furht
This SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own solutions to the problem. Driver drowsiness causes approximately 7% of all road accidents and up to 18% of fatal collisions. Proactive systems that are capable of preventing the loss of lives combine techniques, methods, and algorithms from many fields of engineering and computer science such as senso...
Research and Development in Intelligent Systems XXVII
by Miltos Petridis Max Bramer
"Smart Technologies" for Society, State and Economy (Lecture Notes in Networks and Systems, #155)
This proceedings book presents a comprehensive view of "smart" technologies and perspectives of their application in various areas of economic activity. The authors of the book combined the results of the cutting-edge research on the topic of "smart" technologies in the digital economy and Industry 4.0 and developed a unified scientific concept. The current experience has been considered, and the prospects for the application of "smart" technologies in society to promote social advance have been...
Advanced Intelligent Systems (Advances in Intelligent Systems and Computing, #268)
Intelligent systems have been initiated with the attempt to imitate the human brain. People wish to let machines perform intelligent works. Many techniques of intelligent systems are based on artificial intelligence. According to changing and novel requirements, the advanced intelligent systems cover a wide spectrum: big data processing, intelligent control, advanced robotics, artificial intelligence and machine learning. This book focuses on coordinating intelligent systems with highly integrat...
Soft Computing in Machine Learning (Advances in Intelligent Systems and Computing, #273)
As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis. You can train machines to perform some things, so that they can automatically detect, diagnose, and solve a variety of problems. The intelligent systems have made rapid prog...
Autonomous Robotics and Deep Learning (SpringerBriefs in Computer Science)
by Vishnu Nath and Stephen E Levinson
This Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop "true consciousness." It illustrates the critical first step towards reaching "deep learning," long considered the holy grail for machine learning scientists worldwide. Using the example of the iCub, a humanoid robot which learns to solve 3D mazes, the book explores the challenges to create a robot that can perceive its own surroundings. Rather than...
Models of Neural Networks (Physics of Neural Networks, v. 2)
The theory of neural nets has two new paradigms: information coding through coherent firing of the neurons and structural feedback. As compared to traditional neural nets, spiking neurons provide an extra degree of freedom: time. This degree of freedom is realized by a coherent spiking of many neurons in the network, a nonlinear phenomenon. The other paradigm, feedback, is a dominant feature of the structural organization of the brain. This volume provides an in-depth analysis of both paradigms,...
This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patt...
Internet of Things (Communications in Computer and Information Science, #1727)
This book constitutes the refereed and selected papers presented during the Third International Conference on Internet of Things, ICIoT 2022, held in Chennai, India, in April 2022. The 10 papers were thoroughly reviewed and selected from the 100 qualified submissions. They focus on application of IoT in the field of Computer Science and Information Technology as well as on Industrial IoT.