The NIPS `17 Competition: Building Intelligent Systems, Sergio Escalera; Markus Weimer
Автор: Sergio Escalera; Markus Weimer Название: The NIPS `17 Competition: Building Intelligent Systems ISBN: 3030068676 ISBN-13(EAN): 9783030068677 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Поставка под заказ.
Описание: This book summarizes the organized competitions held during the first NIPS competition track. It provides both theory and applications of hot topics in machine learning, such as adversarial learning, conversational intelligence, and deep reinforcement learning.Rigorous competition evaluation was based on the quality of data, problem interest and impact, promoting the design of new models, and a proper schedule and management procedure. This book contains the chapters from organizers on competition design and from top-ranked participants on their proposed solutions for the five accepted competitions: The Conversational Intelligence Challenge, Classifying Clinically Actionable Genetic Mutations, Learning to Run, Human-Computer Question Answering Competition, and Adversarial Attacks and Defenses.
Описание: This book is among the very few to be entirely dedicated to the treatment of knowledge imperfection when building intelligent systems. The authors are of the belief that an entire book should be focused on this important aspect of knowledge processing.
Название: Building Intelligent Systems ISBN: 1484234316 ISBN-13(EAN): 9781484234310 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Part 1: Approaching an Intelligent System Project.-
Chapter 1: Introducing Intelligent Systems.-
Chapter 2: Knowing When to Use Intelligent Systems.-
Chapter 3: A Brief Refresher on Working with Data.-
Chapter 4: Defining the Intelligent System's Goals.-
Part 2: Intelligent Experiences.-
Chapter 5: The Components of Intelligent Experiences.-
Chapter 6: Why Creating Intelligence Experiences Is Hard.-
Chapter 7: Balancing Intelligent Experiences.-
Chapter 8: Modes of Intelligent Interaction.-
Chapter 9: Getting Data from Experience.-
Chapter 10: Verifying Intelligent Experiences.-
Part 3: Implementing Intelligence.-
Chapter 11: The Components of an Intelligence Implementation.-
Chapter 12: The Intelligence Runtime.-
Chapter 13: Where Intelligence Lives.-
Chapter 14: Intelligence Management.-
Chapter 15: Intelligent Telemetry.-
Part 4: Creating Intelligence.-
Chapter 16: Overview of Intelligence.-
Chapter 17: Representing Intelligence.-
Chapter 18: The Intelligence Creation Process.-
Chapter 19: Evaluating Intelligence.-
Chapter 20: Machine Learning Intelligence.-
Chapter 21: Organizing Intelligence.-
Part 5: Orchestrating Intelligent Systems.-
Chapter 22: Overview of Intelligence Orchestration.-
Chapter 23: The Intelligence Orchestration Environment.-
Chapter 24: Dealing with Mistakes.-
Chapter 25: Adversaries and Abuse.-
Chapter 26: Approaching Your Own Intelligent System.-
Автор: Judea Pearl Название: Probabilistic Reasoning in Intelligent Systems, ISBN: 1558604790 ISBN-13(EAN): 9781558604797 Издательство: Elsevier Science Рейтинг: Цена: 9599.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.
The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.
Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.
Автор: Sabu M. Thampi; Sushmita Mitra; Jayanta Mukhopadhy Название: Intelligent Systems Technologies and Applications ISBN: 3319683845 ISBN-13(EAN): 9783319683843 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the third International Symposium on Intelligent Systems Technologies and Applications (ISTA`17), September 13-16, 2017, Manipal, Karnataka, India. This proceedings contains 34 papers selected for presentation at the Symposium.
Описание: This book demonstrates that the scientific approaches discovered by Professor Zdzislaw Pawlak, especially the rough set approach as a tool for dealing with imperfect knowledge, are vivid and intensively explored by leading researchers worldwide.
Автор: Shahrul Azman Noah; Siti Norul Huda Sheikh Abdulla Название: Soft Computing Applications and Intelligent Systems ISBN: 3642405665 ISBN-13(EAN): 9783642405662 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: M-CAIT 2013 hosted four special tracks in a single event: Intelligence Computation on Pattern Analysis and Robotics (ICPAIR 2013), Data Mining and Optimization (DMO 2013), Semantic Technology and Information Retrieval (STAIR 2013) and Industrial Computing & Applied Informatics (IComp 2013).
Автор: Enrique Onieva; Igor Santos; Eneko Osaba; H?ctor Q Название: Hybrid Artificial Intelligent Systems ISBN: 331919643X ISBN-13(EAN): 9783319196435 Издательство: Springer Рейтинг: Цена: 12298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume constitutes the proceedings of the 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, held Bilbao, Spain, June 2014. hybrid intelligent systems for data mining and applications; classification and cluster analysis, HAIS applications.
Автор: Thomas D. Feigenbaum Название: Building Intelligent Information Systems Software ISBN: 0128051019 ISBN-13(EAN): 9780128051016 Издательство: Elsevier Science Рейтинг: Цена: 6990.00 р. Наличие на складе: Поставка под заказ.
Описание: "
Building Intelligent Information Systems Software "shows scientists and engineers how to build applications that model complex information, data, and knowledge without the need for coding. Traditional software development takes time and leads to inflexible, complicated applications that almost, but don t exactly, meet the intended needs. Requirements can change, sometimes mid-development, and adapting existing systems can be difficult. Individual solutions can be incompatible, leading to information silos and inefficiency throughout an organization. This book offers a solution the Information Unit Model, an innovative architecture for translating domain knowledge into applications. By encapsulating the complexities of computing, the Unit Model allows engineers to focus on business or experimental needs. Author Tom Feigenbaum, inventor of the Unit Modeler, demonstrates this innovative software architecture for rapid application design and development. His approach promotes repurposing pre-existing tools and libraries, and collaborating across the cloud, to promote information sharing and efficient development practices. Each concept is illustrated with examples including file management, data management, and 3D visualization. Turn your domain knowledge into applications without heavy coding Design and develop information systems applications in a fraction of the time of traditional methodsLeverage previously-built components to jump start new projectsIncludes access to a trial version of the Information Unit Modeler tool for rapid application development"
Artificial intelligence will radically change our lives--just not in the ways you might think.
You've been made to believe that AI will take your job. The truth is AI will deeply change the nature of work itself and lead to the creation of jobs that don't exist yet.
Sensational media reports speculate about the "rise of the machines" but fail to see that there's no real intelligence in AI. It is not an all-seeing master, but rather a functional tool that must combine with the intelligence we possess to be effective.
With The AI Republic, Terence Tse, Mark Esposito, and Danny Goh have not written a book for coders, but for everyone curious about a future shaped by AI. They demystify this life-changing technology and explain how we can build a shared space where humans and intelligent automation work together, whether you're a business executive who wants to implement it, a government leader responsible for policy creation, or a parent who wants to prepare your children to grow up with AI as a companion.
Автор: Dariusz Barbucha; Ngoc Thanh Nguyen; John Batubara Название: New Trends in Intelligent Information and Database Systems ISBN: 3319162101 ISBN-13(EAN): 9783319162102 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I: Advanced Machine Learning and Data Mining.- Part II: Intelligent Computational Methods in Information Systems.- Part III: Semantic Web, Social Networks and Recommendation Systems.- Part IV: Cloud Computing and Intelligent Internet Systems.- Part V: Knowledge and Language Processing.- Part VI: Intelligent Information and Database Systems: Applications.
Описание: This book features papers on implementing intelligent tools for building a scientific information platform. It covers architecture of scientific information platforms, semantic clustering, ontology-based systems and multimedia data processing.
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