Download or read book Explainable Intelligent Processing of Biological Resources Integrating Data Information Knowledge and Wisdom written by Yucong Duan and published by Frontiers Media SA. This book was released on 2022-01-21 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Download or read book Trustworthy AI Integrating Learning Optimization and Reasoning written by Fredrik Heintz and published by Springer Nature. This book was released on 2021-04-12 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.
Download or read book Real World Reasoning Toward Scalable Uncertain Spatiotemporal Contextual and Causal Inference written by Ben Goertzel and published by Springer Science & Business Media. This book was released on 2011-12-02 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations. Every one of the major modes of interacting with such storehouses – querying, data mining, data analysis – is addressed by current technologies only in very limited and unsatisfactory ways. The impact of a solution to this problem would be huge and pervasive, as the domains of human pursuit to which such storehouses are acutely relevant is numerous and rapidly growing. Finally, we give a more detailed treatment of one potential solution with this class, based on our prior work with the Probabilistic Logic Networks (PLN) formalism. We show how PLN can be used to carry out realworld reasoning, by means of a number of practical examples of reasoning regarding human activities inreal-world situations.
Download or read book ECAI 2023 written by K. Gal and published by IOS Press. This book was released on 2023-10-18 with total page 3328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.
Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Download or read book International Conference on Multimodal Interfaces written by and published by . This book was released on 2005 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in instructional Psychology written by Robert Glaser and published by Routledge. This book was released on 2019-10-25 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors to this volume address reasoning and problem solving as fundamental to learning and teaching and to modern literacy. The research on expertise and the development of competence makes it clear that structures of knowledge and cognitive process should be tightly linked throughout education to attain high levels of ability. The longstanding pedagogical assumption that the attainment of useful knowledge proceeds from lower level learning based on the practice of fundamental skills that demand little thought, to higher level competence in which problem solving finally plays an increasing role, is no longer tenable. It is now clear that thinking is not an outcome of basic learning, but is part of the basic acquisition of knowledge and skill. In learning to read, for example, decoding the printed word and understanding simple texts is an act of problem solving, requiring inference and elaboration by the reader. The prevalence of reasoning with information at all levels makes the details of its involvement a fundamental influence on learning and instruction -- a recurring theme in each of the chapters. A rich variety of topics is addressed including: *an analysis of the components of teaching competence *the evolution of a learner's mathematical understanding *the use of causal models for generating scientific explanations *the facilitation of meaningful learning through text illustrations *the competence of children in argumentative interaction that results in conceptual change.
Download or read book Mind as Motion written by Robert F. Port and published by MIT Press. This book was released on 1995 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive presentation of the dynamical approach to cognition. It contains a representative sampling of original, current research on topics such as perception, motor control, speech and language, decision making, and development.
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2007 with total page 924 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Event Cognition written by Gabriel A. Radvansky and published by Oxford University Press. This book was released on 2014-06-09 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much of our behavior is guided by our understanding of events. We perceive events when we observe the world unfolding around us, participate in events when we act on the world, simulate events that we hear or read about, and use our knowledge of events to solve problems. In this book, Gabriel A. Radvansky and Jeffrey M. Zacks provide the first integrated framework for event cognition and attempt to synthesize the available psychological and neuroscience data surrounding it. This synthesis leads to new proposals about several traditional areas in psychology and neuroscience including perception, attention, language understanding, memory, and problem solving. Radvansky and Zacks have written this book with a diverse readership in mind. It is intended for a range of researchers working within cognitive science including psychology, neuroscience, computer science, philosophy, anthropology, and education. Readers curious about events more generally such as those working in literature, film theory, and history will also find it of interest.
Download or read book Speech and Natural Language written by and published by . This book was released on 1989 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reinforcement Learning second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Download or read book Patterns Predictions and Actions Foundations of Machine Learning written by Moritz Hardt and published by Princeton University Press. This book was released on 2022-08-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. Provides a modern introduction to machine learning, showing how data patterns support predictions and consequential actions Pays special attention to societal impacts and fairness in decision making Traces the development of machine learning from its origins to today Features a novel chapter on machine learning benchmarks and datasets Invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra An essential textbook for students and a guide for researchers
Download or read book Cognitive Psychology and Instruction written by Alan Lesgold and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sipke D. Fokkema Amsterdam, Free University From June 13th - 17th, 1977 the NATO International Conference on Cognitive Psychology and Instruction, organized by the editors of this volume, took place at the Free University of Amsterdam. During this period approximately 150 psychologists representing 15 countries assembled for an exchange of scientific experiences and ideas. The broad aim of the conference, as indicated by its title, was to explore the extent to which theoretical and methodological developments in cognitive psychology might provide useful knowledge with regard to the design and management of instruction. From a great variety of submitted papers the organizers attempted to select those that represented major problem areas being scientifically studied in several countries. For the organization of this book we chose to categorize the contributions according to the following general areas: I. Learning II. Comprehension and Information Structure III. Perceptual and Memory Processes in Reading IV. Problem Solving and Components of Intelligence V. Cognitive Development VI. Approaches to Instruction The final paper in the volume is an extensive review and summary by Glaser, Pellegrino, and Lesgold, that examines the state Qf cognitive psychology (mainly as reflected in the contributions in this volume) with regard to instructional purposes. Each of the sections of the book also begins with a brief overview of the specific topics considered by the individual contributors within that section.
Download or read book The Semantic Web written by Ruben Verborgh and published by Springer Nature. This book was released on 2021-05-31 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 18th International Semantic Web Conference, ESWC 2021, held virtually in June 2021. The 41 full papers and 2 short papers presented were carefully reviewed and selected from 167 submissions. The papers were submitted to three tracks: the research track, the resource track and the in-use track. These tracks showcase research and development activities, services and applications, and innovative research outcomes making their way into industry. The research track caters to both long-standing and emerging research topics in the form of the following subtracks: ontologies and reasoning; knowledge graphs (understanding, creating, and exploiting); semantic data management, querying and distributed data; data dynamics, quality, and trust; matching, integration, and fusion; NLP and information retrieval; machine learning; science data and scholarly communication; and problems to solve before you die.
Download or read book Introduction to Statistical Relational Learning written by Lise Getoor and published by MIT Press. This book was released on 2007 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 'Introduction to Statistical Relational Learning', leading researchers in this emerging area of machine learning describe current formalisms, models, and algorithms that enable effective and robust reasoning about richly structured systems and data.
