Download or read book The Representational Nature of Sequence Learning written by Richard Eliot Hazeltine and published by . This book was released on 1997 with total page 260 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 Attention and Implicit Learning written by Luis Jiménez and published by John Benjamins Publishing. This book was released on 2003-01-30 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Attention and Implicit Learning provides a comprehensive overview of the research conducted in this area. The book is conceived as a multidisciplinary forum of discussion on the question of whether implicit learning may be depicted as a process that runs independently of attention. The volume also deals with the complementary question of whether implicit learning affects the dynamics of attention, and it addresses these questions from perspectives that range from functional to neuroscientific and computational approaches. The view of implicit learning that arises from these pages is not that of a mysterious faculty, but rather that of an elementary ability of the cognitive systems to extract the structure of their environment as it appears directly through experience, and regardless of any intention to do so. Implicit learning, thus, is taken to be a process that may shape not only our behavior, but also our representations of the world, our attentional functions, and even our conscious experience. (Series B)
Download or read book The Cognitive Neurosciences written by Michael S. Gazzaniga and published by MIT Press. This book was released on 2004 with total page 1486 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third edition of a work that defines the field of cognitive neuroscience, with extensive new material including new chapters and new contributors.
Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
Download or read book Oxford Handbook of Human Action written by Ezequiel Morsella and published by Oxford University Press. This book was released on 2009 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade, there has been a tremendous surge of research on the mechanisms of human action. This volume brings together this new knowledge in a single, concise source, covering most if not all of the basic questions regarding human action: What are the mechanisms by which action plans are acquired (learned), mentally represented, activated, selected, and expressed? The chapters provide up-to-date summaries of the published research on this question, with an emphasis on underlying mechanisms.This 'bible' of action research brings together the current thinking of eminent researchers in the domains of motor control, behavioral and cognitive neuroscience, psycholinguistics, biology, as well as cognitive, developmental, social, and motivational psychology. It represents a determined multidisciplinary effort, spanning across various areas of science as well as national boundaries.
Download or read book A Handbook of Computational Linguistics Artificial Intelligence in Natural Language Processing written by Youddha Beer Singh and published by Bentham Science Publishers. This book was released on 2024-08-12 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a comprehensive understanding of computational linguistics, focusing on the integration of deep learning in natural language processing (NLP). 18 edited chapters cover the state-of-the-art theoretical and experimental research on NLP, offering insights into advanced models and recent applications. Highlights: - Foundations of NLP: Provides an in-depth study of natural language processing, including basics, challenges, and applications. - Advanced NLP Techniques: Explores recent advancements in text summarization, machine translation, and deep learning applications in NLP. - Practical Applications: Demonstrates use cases on text identification from hazy images, speech-to-sign language translation, and word sense disambiguation using deep learning. - Future Directions: Includes discussions on the future of NLP, including transfer learning, beyond syntax and semantics, and emerging challenges. Key Features: - Comprehensive coverage of NLP and deep learning integration. - Practical insights into real-world applications - Detailed exploration of recent research and advancements through 16 easy to read chapters - References and notes on experimental methods used for advanced readers Ideal for researchers, students, and professionals, this book offers a thorough understanding of computational linguistics by equipping readers with the knowledge to understand how computational techniques are applied to understand text, language and speech.
Download or read book Psychology of Learning and Motivation written by and published by Academic Press. This book was released on 2016-01-18 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. Each chapter thoughtfully integrates the writings of leading contributors, who present and discuss significant bodies of research relevant to their discipline. Volume 64 includes chapters on such varied topics as causal reasoning, the role of affordances in memory, technology-based support for older adult communication in safety-critical domains and what edge-based masking effects can tell us about cognition. - Volume 64 of the highly regarded Psychology of Learning and Motivation series - An essential reference for researchers and academics in cognitive science - Relevant to both applied concerns and basic research
Download or read book Natural Language Processing with PyTorch written by Delip Rao and published by "O'Reilly Media, Inc.". This book was released on 2019-01-22 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems
Download or read book Sequence Learning written by Ron Sun and published by Springer. This book was released on 2003-06-29 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models.
Download or read book Natural Language Processing and Chinese Computing written by Xiaodan Zhu and published by Springer Nature. This book was released on 2020-10-06 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2020, held in Zhengzhou, China, in October 2020. The 70 full papers, 30 poster papers and 14 workshop papers presented were carefully reviewed and selected from 320 submissions. They are organized in the following areas: Conversational Bot/QA; Fundamentals of NLP; Knowledge Base, Graphs and Semantic Web; Machine Learning for NLP; Machine Translation and Multilinguality; NLP Applications; Social Media and Network; Text Mining; and Trending Topics.
Download or read book Constructing Representations to Learn in Science written by Russell Tytler and published by Springer Science & Business Media. This book was released on 2013-04-20 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constructing Representations to Learn in Science Current research into student learning in science has shifted attention from the traditional cognitivist perspectives of conceptual change to socio-cultural and semiotic perspectives that characterize learning in terms of induction into disciplinary literacy practices. This book builds on recent interest in the role of representations in learning to argue for a pedagogical practice based on students actively generating and exploring representations. The book describes a sustained inquiry in which the authors worked with primary and secondary teachers of science, on key topics identified as problematic in the research literature. Data from classroom video, teacher interviews and student artifacts were used to develop and validate a set of pedagogical principles and explore student learning and teacher change issues. The authors argue the theoretical and practical case for a representational focus. The pedagogical approach is illustrated and explored in terms of the role of representation to support quality student learning in science. Separate chapters address the implications of this perspective and practice for structuring sequences around different concepts, reasoning and inquiry in science, models and model based reasoning, the nature of concepts and learning, teacher change, and assessment. The authors argue that this representational focus leads to significantly enhanced student learning, and has the effect of offering new and productive perspectives and approaches for a number of contemporary strands of thinking in science education including conceptual change, inquiry, scientific literacy, and a focus on the epistemic nature of science.
Download or read book Advances in Natural Computation Fuzzy Systems and Knowledge Discovery written by Hongying Meng and published by Springer Nature. This book was released on 2021-06-26 with total page 1925 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2020 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020), held in Xi'an, China, from 19 to 21 December 2020. All papers were rigorously peer-reviewed by experts in the areas.
Download or read book The Cambridge Handbook of Consciousness written by Philip David Zelazo and published by Cambridge University Press. This book was released on 2007-05-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Cambridge Handbook of Consciousness is the first of its kind in the field, and its appearance marks a unique time in the history of intellectual inquiry on the topic. After decades during which consciousness was considered beyond the scope of legitimate scientific investigation, consciousness re-emerged as a popular focus of research towards the end of the last century, and it has remained so for nearly 20 years. There are now so many different lines of investigation on consciousness that the time has come when the field may finally benefit from a book that pulls them together and, by juxtaposing them, provides a comprehensive survey of this exciting field. An authoritative desk reference, which will also be suitable as an advanced textbook.
Download or read book Natural Artificial Parallel Computation written by David L. Waltz and published by SIAM. This book was released on 1996-01-01 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume begins with processing in biological organisms, moves through interactions between processing in biology and computer science, and ends with massively parallel computing. It contains articles by scientists exploring the modeling of biological systems on computers and computer designers interested in exploiting massive numbers of computing elements in parallel.
Download or read book Sensorimotor Cognition and Natural Language Syntax written by Alistair Knott and published by MIT Press. This book was released on 2012-11-02 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: A proposal that the syntactic structure of a sentence reporting a concrete episode in the world can be interpreted as a description of the sensorimotor processes involved in experiencing that episode. How is the information we gather from the world through our sensory and motor apparatus converted into language? It is obvious that there is an interface between language and sensorimotor cognition because we can talk about what we see and do. In this book, Alistair Knott argues that this interface is more direct than commonly assumed. He proposes that the syntax of a concrete sentence—a sentence that reports a direct sensorimotor experience—closely reflects the sensorimotor processes involved in the experience. In fact, he argues, the syntax of the sentence can be interpreted as a description of these sensorimotor processes. Knott focuses on a simple concrete episode: a man grabbing a cup. He presents detailed models of the sensorimotor processes involved in experiencing this episode (drawing on research in psychology and neuroscience) and of the syntactic structure of the transitive sentence reporting the episode (drawing on Chomskyan Minimalist syntactic theory). He proposes that these two independently motivated models are closely linked—that the logical form of the sentence can be given a detailed sensorimotor characterization and that, more generally, many of the syntactic principles understood in Minimalism as encoding innate linguistic knowledge are actually sensorimotor in origin. Knott's sensorimotor reinterpretation of Chomsky opens the way for a psychological account of sentence processing that is compatible with a Chomskyan account of syntactic universals, suggesting a way to reconcile Chomsky's theory of syntax with the empiricist models of language often viewed as Mimimalism's competitors.
Download or read book Anticipatory Behavior in Adaptive Learning Systems written by Martin V. Butz and published by Springer. This book was released on 2004-01-21 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interdisciplinary topic of anticipation, attracting attention fromnbsp;computer scientists, psychologists, philosophers, neuroscientists, and biologists is a rather new and often misunderstood matter of research. This book attempts to establish anticipation as a research topic and encourage further research and development work. First, the book presents philosophical thoughts and concepts to stimulate the reader's concern about the topic. Fundamental cognitive psychology experiments then confirm the existence of anticipatory behavior in animals and humans and outline a first framework of anticipatory learning and behavior. Next, several distinctions and frameworks of anticipatory processes are discussed, including first implementations of these concepts. Finally, several anticipatory systems and studies on anticipatory behavior are presented.
