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Machine learning. --- Algorithms. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Algorism --- Algebra --- Arithmetic --- Foundations
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This book presents the refereed proceedings of the 4th Congress of the Italian Association for Artificial Intelligence, AI*IA '95, held in Florence, Italy, in October 1995. The 31 revised full papers and the 12 short presentations contained in the volume were selected from a total of 101 submissions on the basis of a careful reviewing process. The papers are organized in sections on natural language processing, fuzzy systems, machine learning, knowledge representation, automated reasoning, cognitive models, robotics and planning, connectionist models, model-based reasoning, and distributed artificial intelligence.
Artificial intelligence --- Congresses --- Artificial intelligence. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers
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This book is devoted to adaptive processing of structured information similar to flexible and intelligent information processing by humans - in contrast to merely sequential processing of predominantly symbolic information within a deterministic framework. Adaptive information processing allows for a mixture of sequential and parallel processing of symbolic as well as subsymbolic information within deterministic and probabilistic frameworks. The book originates from a summer school held in September 1997 and thus is ideally suited for advanced courses on adaptive information processing and advanced learning techniques or for self-instruction. Research and design professionals active in the area of neural information processing will find it a valuable state-of-the-art survey.
Neural networks (Computer science) --- Data structures (Computer science) --- Parallel processing (Electronic computers) --- Computer Science --- Engineering & Applied Sciences --- Données [Structures de ] (Informatique) --- Gegevensstructuren (Informatica) --- Neurale netwerken (Informatica) --- Parallelle verwerking (Computers) --- Réseaux neuraux (Informatique) --- Structures de données (Informatique) --- Traitement parallèle (Ordinateurs) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Computer science. --- Microprocessors. --- Architecture, Computer. --- Computer programming. --- Data structures (Computer science). --- Computers. --- Artificial intelligence. --- Computer Science. --- Computer System Implementation. --- Programming Techniques. --- Artificial Intelligence (incl. Robotics). --- Computation by Abstract Devices. --- Processor Architectures. --- Data Structures. --- Computer network architectures. --- Data structures (Computer scienc. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- File organization (Computer science) --- Abstract data types (Computer science) --- Minicomputers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Architecture, Computer --- Programming
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In the eye-blink that has elapsed since the turn of the millennium, the lives of those of us who work with information have been utterly transformed. Pretty well all we need to know is on the web; if not today, then tomorrow. It's where we learn and play, shop and do business, keep up with old friends and meet new ones. What makes it possible for us to find the stuff we need to know? Search engines.Search engines-"web dragons?-are the portals through which we access society's treasure trove of information. How do they stack up against librarians, the gatekeepers over centuries past? Wh
Search engines --- World Wide web --- Electronic information resource literacy --- #KVHA:Informatica --- #KVHA:Zoekmachines --- #KVHA:World wide web --- World Wide Web --- W3 (World Wide Web) --- Web (World Wide Web) --- World Wide Web (Information retrieval system) --- WWW (World Wide Web) --- Hypertext systems --- Multimedia systems --- Internet --- Agents, Search --- Engines, Search --- Search agents --- Electronic information resource searching --- Information filtering systems --- Information literacy --- Search engines. --- World Wide Web. --- Electronic information resource literacy.
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Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. It draws a path towards deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, such as in fuzzy systems. Special attention is given to deep learning, which nicely fits the constrained-based approach followed in this book. The book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, including many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.
Science --- Machine learning. --- Algorithms. --- Algorithms --- Machine learning
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If you've ever searched the web for information and wondered what's going on behind that query box, I recommend you read Web Dragons. It puts Internet search engines in contextpart of a legacy of information access dating back thousands of years. It explains in plain language how search engines work, and points out potential pitfalls that thoughtful searchers should consider. Web Dragons is clear and engaging. Given the amount of time and trust we all invest in search engines, if you pay attention to the web I highly recommend redirecting some of that attention to this book. --Craig Nevill-Manning, Engineering Director, Google Search technology is changing the way people understand and interact with the world. Web Dragons takes a revealing look at the evolution of search and how it will shape the future of information technology. --Prabhakar Raghavan, Head of Yahoo! Research Witten, Gori and Numerico steadily bring the web into sharper and sharper focus. A daunting expanse is revealed to have structure. The structure enables the knowledgeable to navigate it to their benefit and allows the unscrupulous or careless to create pitfalls and traps. Search engines will be critical tools for most people living today. What could be more important than understanding how these technologies work and where they are going? --Jonathan Grudin, Microsoft Research In the eye-blink that has elapsed since the turn of the millennium, the lives of those of us who work with information have been utterly transformed. Pretty well all we need to know is on the web; if not today, then tomorrow. Its where we learn and play, shop and do business, keep up with old friends and meet new ones. What makes it possible for us to find the stuff we need to know? Search engines. Search enginesweb dragonsare the portals through which we access societys treasure trove of information. How do they stack up against librarians, the gatekeepers over centuries past? What role will libraries play in a world whose information is ruled by the web? How is the web organized? Who controls its contents, and how do they do it? How do search engines work? How can web visibility be exploited by those who want to sell us their wares? Whats coming tomorrow, and can we influence it? We are witnessing the dawn of a new era, starting right nowand this book shows you what it will look like and how it will change your world. Do you use search engines every day? Are you a developer or a librarian, helping others with their information needs? A researcher or journalist for whom the web has changed the very way you work? An online marketer or site designer, whose career exists because of the web? Whoever you are: if you care about information, this book will open your eyesand make you blink. About the authors: Ian H. Witten is professor of computer science at the University of Waikato, where he directs the New Zealand Digital Library research project. He has published widely on digital libraries, machine learning, text compression, hypertext, speech synthesis and signal processing, and computer typography. A fellow of the ACM, he has written several books, including How to Build a Digital Library (2002) and Data Mining (2005), both from Morgan Kaufmann. Marco Gori is professor of computer science at the University of Siena, where he leads the artificial intelligence research group. He is the Chairman of the Italian Chapter of the IEEE Computational Intelligence Society, a fellow of the IEEE and of the ECCAI, and former President of the Italian Association for Artificial Intelligence. Teresa Numerico teaches network theory and communication studies at the University of Rome 3, and is a researcher in Philosophy of Science at the University of Salerno. Previously she was employed as a business development and marketing manager for various media companies, including the Italian branch of Turner Broadcasting System (CNN and Cartoon Network). * Presents a critical view of the idea of funneling information access through a small handful of gateways and the notion of a centralized index--and the problems that may cause. * Provides promising approaches for addressing the problems, such as the personalization of web services. * Presented by authorities in the field of digital libraries, web history, machine learning, and web and data mining. * Find more information at the author's site: [webdragons.net](http://www.webdragons.net). COMPUTERS/Online Services - COMPUTERS/Storage & Retrieval - COMPUTERS/System Administration - Connaissances des sources d'information électroniques - Electronic information resource literacy - Moteurs de recherche - Search engines - Web - World Wide Web
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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 book criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of information-based laws of nature. Specifically, the present work poses fundamental questions about vision that remain far from understood, leading the reader on a journey populated by novel challenges resonating with the foundations of machine learning. The central thesis is that for a deeper understanding of visual computational processes, it is necessary to look beyond the applications of general purpose machine learning algorithms, and focus instead on appropriate learning theories that take into account the spatiotemporal nature of the visual signal. Topics and features: Presents a curiosity-driven approach, posing questions to stimulate readers to design novel computational models of vision Offers a rethinking of computer vision, arguing for an approach based on vision in nature, versus regarding visual signals as collections of images Provides an interdisciplinary commentary, aiming to unify computer vision, machine learning, human vision, and computational neuroscience Serving to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions. This unique volume will be of great benefit to graduate and advanced undergraduate students in computer science, computational neuroscience, physics, and other related disciplines.
Programming --- Computer. Automation --- computervisie --- programmeren (informatica)
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This book constitutes the refereed proceedings of the 15th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2016, held in Genova, Italy, in November/December 2016. The 39 full papers presented were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on optimization and evolutionary algorithms; classification, pattern recognition, and computer vision; multi-agent systems; machine learning; semantic web and description logics; natural language processing; planning and scheduling; and formal verification.
Computer science. --- Computers. --- Mathematical logic. --- Data mining. --- User interfaces (Computer systems). --- Artificial intelligence. --- Pattern recognition. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Data Mining and Knowledge Discovery. --- Mathematical Logic and Formal Languages. --- Computation by Abstract Devices. --- User Interfaces and Human Computer Interaction. --- Pattern Recognition. --- Design perception --- Pattern recognition --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Interfaces, User (Computer systems) --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Informatics --- Form perception --- Perception --- Figure-ground perception --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Human-machine systems --- Human-computer interaction --- Database searching --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Science --- Optical pattern recognition. --- Artificial Intelligence. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Artificial intelligence
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