Download or read book Reinforcement Learning Methods in Speech and Language Technology written by Baihan Lin and published by Springer Nature. This book was released on with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Deep Learning for NLP and Speech Recognition written by Uday Kamath and published by Springer. This book was released on 2019-06-10 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.
Download or read book Speech Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reinforcement Learning Methods in Speech and Language Technology written by Baihan Lin and published by Springer. This book was released on 2024-11-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive guide to reinforcement learning (RL) and bandits for speech and language technology. The book first provides an overview of RL and bandit methods and their applications to various speech and language tasks. The author then covers essential topics such as the formulations for speech and language tasks into RL problems, RL-based solutions in automatic speech recognition, speaker recognition, diarization, natural language understanding, text-to-speech synthesis, natural language generation, and conversational recommendation systems. The book also presents emerging strategies in RL methods, along with open questions and challenges in RL-based speech and language technology. With a focus on real-world applications, the book provides step-by-step guidance on how to use RL and bandit methods to solve problems in speech and language technology. The book also includes case studies and practical tips to help readers apply RL and bandit methods to their own projects. The book is a timely resource for speech and language researchers, engineers, students, and practitioners who are interested in learning how RL methods can improve the performance of speech and language systems and provide new interactive learning paradigms from an interface design point of view.
Download or read book Automatic Speech Recognition written by Dong Yu and published by Springer. This book was released on 2014-11-11 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.
Download or read book Machine Learning for Kids written by Dale Lane and published by No Starch Press. This book was released on 2021-01-19 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+
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 Advances in Speech and Language Technologies for Iberian Languages written by Alberto Abad and published by Springer. This book was released on 2016-11-11 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the IberSPEECH 2016 Conference, held in Lisbon, Portugal, in November 2016. The 27 papers presented were carefully reviewed and selected from 48 submissions. The selected articles in this volume are organized into four different topics: Speech Production, Analysis, Coding and Synthesis; Automatic Speech Recognition; Paralinguistic Speaker Trait Characterization; Speech and Language Technologies in Different Application Fields
Download or read book Handbook of Research on Machine Learning Applications and Trends Algorithms Methods and Techniques written by Olivas, Emilio Soria and published by IGI Global. This book was released on 2009-08-31 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.
Download or read book Text processing and machine learning methods in HRM applications opportunities and features written by О. Стоянова and published by Litres. This book was released on 2022-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: New tasks of human resource management require the analysis of huge volumes of semistructured text information. Methods of text processing and machine learning can significantly improve its effectiveness in case they take into consideration the features of tasks to be solved. The article describes actual analytical problems of human resource management, characteristics of information support of these problems, shortcomings and assumptions of frequently used methods of both classes in the tasks context. An example of applying test processing and machine learning methods in the task of compliance assessment is given in the article as well.За последние несколько лет задачи управления человеческими ресурсами существенно изменились и продолжают меняться. Ключевыми становятся задачи повышения приверженности сотрудников компании, увеличения привлекательности компании как работодателя, а также обеспечения кадровой информационной безопасности. Для решения всех перечисленных задач необходим анализ больших объемов информации, представленной в частично-структурированном тестовом виде. Эффективность такого анализа может быть повышена за счет применения методов обработки текстов и машинного обучения. В статье представлены результаты анализа особенностей имеющейся информации, недостатков и ограничений часто используемых аналитических методов в контексте задач управления человеческими ресурсами. Представлен пример разработки метода решения задачи оценки соответствия компетенций кандидатов требованиям должностной позиции, использующий алгоритмы анализа текстовых данных и машинного обучения.
Download or read book Advanced Technologies for Industrial Applications written by Rohit Thanki and published by Springer Nature. This book was released on 2023-06-27 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides information on advanced communication technology used in Industry 4.0 and 5.0. The book covers a variety of technologies such as signal processing, system designing, computer vision, and artificial intelligence and explains their benefits, usage, and market values in Industry 4.0 and 5.0. The authors present technological tools for industrial applications and give examples of their usage of system design, modeling, artificial intelligence, internet of things and robotics. This book covers the impact of these technologies in various industrial applications and provides future technological tools that will be helpful in future planning and development. The book is pertinent to researchers, academics, professionals, planners, and student’s interest in Industry 5.0.
Download or read book Clinical Application of Machine Learning Methods in Psychiatric Disorders written by Xiaozheng Liu and published by Frontiers Media SA. This book was released on 2023-06-27 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neural Information Processing written by Long Cheng and published by Springer. This book was released on 2018-12-03 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11303, is organized in topical sections on embedded learning, transfer learning, reinforcement learning, and other learning approaches.
Download or read book Informatics written by Reinhard Wilhelm and published by Springer. This book was released on 2003-06-29 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Informatics - 10 Years Back, 10 Years Ahead presents a unique collection of expository papers on major current issues in the field of computer science and information technology. The 26 contributions written by leading researchers on personal invitation assess the state of the art of the field by looking back over the past decade, presenting important results, identifying relevant open problems, and developing visions for the decade to come. This book marks two remarkable and festive moments: the 10th anniversary of the International Research and Conference Center for Computer Science in Dagstuhl, Germany and the 2000th volume published in the Lecture Notes in Computer Science series.
Download or read book Machine Learning Methods written by Hang Li and published by Springer Nature. This book was released on 2024-01-07 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, like the hidden Markov model and conditional random fields. In the context of unsupervised learning, it examines clustering and other problems as well as methods such as singular value decomposition, principal component analysis and latent semantic analysis. As a fundamental book on machine learning, it addresses the needs of researchers and students who apply machine learning as an important tool in their research, especially those in fields such as information retrieval, natural language processing and text data mining. In order to understand the concepts and methods discussed, readers are expected to have an elementary knowledge of advanced mathematics, linear algebra and probability statistics. The detailed explanations of basic principles, underlying concepts and algorithms enable readers to grasp basic techniques, while the rigorous mathematical derivations and specific examples included offer valuable insights into machine learning.
Download or read book Deep Learning written by Li Deng and published by . This book was released on 2014 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks
Download or read book New Language Technologies and Linguistic Research written by Sandra Maria Aluisio and published by Cambridge Scholars Publishing. This book was released on 2014-03-25 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of the papers presented and discussed at the 11th Corpus Linguistics Symposium (ELC 2012), held at the Instituto de Ciências Matemáticas e de Computação (Institute of Mathematics and Computer Science) of the University of São Paulo, at São Carlos, Brazil. The sessions addressed the following six topics: Corpus Linguistics and Language Description; Translation, Terminology and Corpora; Spoken Language and Corpora; Natural Language Processing and Corpora; Corpus Annotation; and Corpora and Multiple Documents. These unique studies will inspire readers with an interest in Linguistics, and will provide motivation for conducting further research in the interdisciplinary area of Language Technologies and Linguistic Research.
