Download or read book Information Bottleneck written by Bernhard C. Geiger and published by MDPI. This book was released on 2021-06-15 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The celebrated information bottleneck (IB) principle of Tishby et al. has recently enjoyed renewed attention due to its application in the area of deep learning. This collection investigates the IB principle in this new context. The individual chapters in this collection: • provide novel insights into the functional properties of the IB; • discuss the IB principle (and its derivates) as an objective for training multi-layer machine learning structures such as neural networks and decision trees; and • offer a new perspective on neural network learning via the lens of the IB framework. Our collection thus contributes to a better understanding of the IB principle specifically for deep learning and, more generally, of information–theoretic cost functions in machine learning. This paves the way toward explainable artificial intelligence.
Download or read book Information Theoretic Methods in Data Science written by Miguel R. D. Rodrigues and published by Cambridge University Press. This book was released on 2021-04-08 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics such as data acquisition, representation, analysis, and communication, it is ideal for graduate students and researchers in information theory, signal processing, and machine learning.
Download or read book Algorithmic Learning Theory written by Yoav Freund and published by Springer Science & Business Media. This book was released on 2008-09-29 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008. The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as statistical learning; probability and stochastic processes; boosting and experts; active and query learning; and inductive inference.
Download or read book Database Systems for Advanced Applications written by Arnab Bhattacharya and published by Springer Nature. This book was released on 2022-04-26 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 13245, 13246 and 13247 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held online, in April 2021. The total of 72 full papers, along with 76 short papers, are presented in this three-volume set was carefully reviewed and selected from 543 submissions. Additionally, 13 industrial papers, 9 demo papers and 2 PhD consortium papers are included. The conference was planned to take place in Hyderabad, India, but it was held virtually due to the COVID-19 pandemic.
Download or read book Metrics of Sensory Motor Coordination and Integration in Robots and Animals written by Fabio Bonsignorio and published by Springer. This book was released on 2019-03-23 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a critical issue in the study of physical agents, whether natural or artificial: the quantitative modelling of sensory–motor coordination. Adopting a novel approach, it defines a common scientific framework for both the intelligent systems designed by engineers and those that have evolved naturally. As such it contributes to the widespread adoption of a rigorous quantitative and refutable approach in the scientific study of ‘embodied’ intelligence and cognition. More than 70 years after Norbert Wiener’s famous book Cybernetics: or Control and Communication in the Animal and the Machine (1948), robotics, AI and life sciences seem to be converging towards a common model of what we can call the ‘science of embodied intelligent/cognitive agents’. This book is interesting for an interdisciplinary community of researchers, technologists and entrepreneurs working at the frontiers of robotics and AI, neuroscience and general life and brain sciences.
Download or read book Bottlenecks written by Joseph Fishkin and published by Oxford University Press, USA. This book was released on 2014 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on author's thesis (doctoral--Oxford University, 2009) under title: Opportunity pluralism.
Download or read book Bottlenecks written by David C. Evans and published by Apress. This book was released on 2017-02-11 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the psychological constrictions of attention, perception, memory, disposition, motivation, and social influence that determine whether customers will be receptive to your digital innovations. Bottlenecks: Aligning UX Design with User Psychology fills a need for entrepreneurs, designers, and marketing professionals in the application of foundational psychology to user-experience design. The first generation of books on the topic focused on web pages and cognitive psychology. This book covers apps, social media, in-car infotainment, and multiplayer video games, and it explores the crucial roles played by behaviorism, development, personality, and social psychology. Author David Evans is an experimental psychology Ph.D. and senior manager of consumer research at Microsoft who recounts high-stakes case studies in which behavioral theory aligned digital designs with the bottlenecks in human nature to the benefit of users and businesses alike. Innova tors in design and students of psychology will learn: The psychological processes determining users’ perception of, engagement with, and recommendation of digital innovations Examples of interfaces before and after simple psychological alignments that vastly enhanced their effectiveness Strategies for marketing and product development in an age of social media and behavioral targeting Hypotheses for research that both academics and enterprises can perform to better meet users’ needs Who This Book Is For Designers and entrepreneurs will use this book to give their innovations an edge on what are increasingly competitive platforms such as apps, bots, in-car apps, augmented reality content. Usability researchers and market researchers will leverage it to enhance their consulting and reporting. Students and lecturers in psychology departments will want it to help land employment in the private sector. Praise “Bottlenecks’ is a tight and eminently actionable read for business leaders in startups and enterprises alike. Evans gives us a rich sense of key psychological processes and even richer examples of them in action.” - Nir Eyal, Author of Hooked: How to Build Habit-Forming Products “Clients frequently ask our UX researchers and designers for deeper truths about why certain designs work and others fail. Bottlenecks offers practical explanations and evidence based on the idea that human cognition did not begin with the digital age.” - John Dirks, UX Director and Partner, Blink UX “Bottlenecks brings together two very important aspects of user experience design: understanding users and translating this into business impact. A must-read for anyone who wants to learn both.” - Josh Lamar, Sr. UX Lead, Microsoft Outlook
Download or read book Material and Manufacturing Technology written by Xie Yi and published by Trans Tech Publications Ltd. This book was released on 2010-08-11 with total page 1510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume is indexed by Thomson Reuters CPCI-S (WoS). This special volume comprises 287 expertly refereed papers. The main theme covered is Materials and Manufacturing Technology; the main goal being to provide an international scientific forum for the exchange of new ideas in a number of fields, and to facilitate in-depth interaction via discussions with peers from around the world. Core areas of Materials and Manufacturing Technology, and multi-disciplinary, inter-disciplinary and practical aspects are covered, making this essential reading for anyone interested in these topics.
Download or read book Information Bottleneck written by Bernhard Geiger and published by . This book was released on 2021 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The celebrated information bottleneck (IB) principle of Tishby et al. has recently enjoyed renewed attention due to its application in the area of deep learning. This collection investigates the IB principle in this new context. The individual chapters in this collection: • provide novel insights into the functional properties of the IB; • discuss the IB principle (and its derivates) as an objective for training multi-layer machine learning structures such as neural networks and decision trees; and • offer a new perspective on neural network learning via the lens of the IB framework. Our collection thus contributes to a better understanding of the IB principle specifically for deep learning and, more generally, of information-theoretic cost functions in machine learning. This paves the way toward explainable artificial intelligence.
Download or read book Advances in Multimedia Modeling written by Shin'ichi Satoh and published by Springer Science & Business Media. This book was released on 2007-12-14 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Multimedia Modeling Conference, MMM 2007, held in Kyoto, Japan, in January 2007. The 23 revised full papers and 24 revised poster papers were carefully reviewed and selected from more than 130 submissions. The papers are organized in topical sections that include material on media understanding, creative media, visual content representation, and video codecs, as well as media retrieval, audio and music.
Download or read book The Neocortex written by Wolf Singer and published by MIT Press. This book was released on 2019-10-29 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts review the latest research on the neocortex and consider potential directions for future research. Over the past decade, technological advances have dramatically increased information on the structural and functional organization of the brain, especially the cerebral cortex. This explosion of data has radically expanded our ability to characterize neural circuits and intervene at increasingly higher resolutions, but it is unclear how this has informed our understanding of underlying mechanisms and processes. In search of a conceptual framework to guide future research, leading researchers address in this volume the evolution and ontogenetic development of cortical structures, the cortical connectome, and functional properties of neuronal circuits and populations. They explore what constitutes “uniquely human” mental capacities and whether neural solutions and computations can be shared across species or repurposed for potentially uniquely human capacities. Contributors Danielle S. Bassett, Randy M. Bruno, Elizabeth A. Buffalo, Michael E. Coulter, Hermann Cuntz, Stanislas Dehaene, James J. DiCarlo, Pascal Fries, Karl J. Friston, Asif A. Ghazanfar, Anne-Lise Giraud, Joshua I. Gold, Scott T. Grafton, Jennifer M. Groh, Elizabeth A. Grove, Saskia Haegens, Kenneth D. Harris, Kristen M. Harris, Nicholas G. Hatsopoulos, Tarik F. Haydar, Takao K. Hensch, Wieland B. Huttner, Matthias Kaschube, Gilles Laurent, David A. Leopold, Johannes Leugering, Belen Lorente-Galdos, Jason N. MacLean, David A. McCormick, Lucia Melloni, Anish Mitra, Zoltán Molnár, Sydney K. Muchnik, Pascal Nieters, Marcel Oberlaender, Bijan Pesaran, Christopher I. Petkov, Gordon Pipa, David Poeppel, Marcus E. Raichle, Pasko Rakic, John H. Reynolds, Ryan V. Raut, John L. Rubenstein, Andrew B. Schwartz, Terrence J. Sejnowski, Nenad Sestan, Debra L. Silver, Wolf Singer, Peter L. Strick, Michael P. Stryker, Mriganka Sur, Mary Elizabeth Sutherland, Maria Antonietta Tosches, William A. Tyler, Martin Vinck, Christopher A. Walsh, Perry Zurn
Download or read book The Principles of Deep Learning Theory written by Daniel A. Roberts and published by Cambridge University Press. This book was released on 2022-05-26 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
Download or read book Binary Neural Networks written by Baochang Zhang and published by CRC Press. This book was released on 2023-12-13 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning has achieved impressive results in image classification, computer vision, and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resources. The number of floatingpoint operations (FLOPs) has increased dramatically with larger networks, and this has become an obstacle for convolutional neural networks (CNNs) being developed for mobile and embedded devices. In this context, Binary Neural Networks: Algorithms, Architectures, and Applications will focus on CNN compression and acceleration, which are important for the research community. We will describe numerous methods, including parameter quantization, network pruning, low-rank decomposition, and knowledge distillation. More recently, to reduce the burden of handcrafted architecture design, neural architecture search (NAS) has been used to automatically build neural networks by searching over a vast architecture space. Our book will also introduce NAS and binary NAS and its superiority and state-of-the-art performance in various applications, such as image classification and object detection. We also describe extensive applications of compressed deep models on image classification, speech recognition, object detection, and tracking. These topics can help researchers better understand the usefulness and the potential of network compression on practical applications. Moreover, interested readers should have basic knowledge of machine learning and deep learning to better understand the methods described in this book. Key Features Reviews recent advances in CNN compression and acceleration Elaborates recent advances on binary neural network (BNN) technologies Introduces applications of BNN in image classification, speech recognition, object detection, and more
Download or read book Understanding Reading written by Frank Smith and published by Routledge. This book was released on 2012-03-22 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Reading revolutionized reading research and theory when the first edition appeared in 1971 and continues to be a leader in the field. In the sixth edition of this classic text Smith’s purpose remains the same: to shed light on fundamental aspects of the complex human act of reading – linguistic, physiological, psychological, and social – and of what is involved in learning to read. The text critically examines current theories, instructional practices, and controversies, covering a wide range of disciplines but always remains accessible. Careful attention is given to the ideological clash that continues between whole language and direct instruction and currently permeates every aspect of theory and research into reading and reading instruction. In every edition, including the present one, Smith has steadfastly resisted giving teachers a recipe for teaching reading, while aiming to help them make their own decisions, based on research about reading, which is accessible to anyone, and their experience and personal knowledge of their students, which only they possess. To aid readers in making up their own minds, each chapter concludes with a brief statement of "Issues." Understanding Reading, Sixth Edition is matchless in integrating a wide range of topics relative to reading while, at the same time, being highly readable and user-friendly for instructors, students, and practitioners.
Download or read book Image and Video Retrieval written by Wee-Kheng Leow and published by Springer. This book was released on 2007-05-22 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: It was our great pleasure to host the 4th International Conference on Image and Video Retrieval (CIVR) at the National University of Singapore on 20–22 July 2005. CIVR aims to provide an international forum for the discussion of research challenges and exchange of ideas among researchers and practitioners in image/video retrieval technologies. It addresses innovative research in the broad ?eld of image and video retrieval. A unique feature of this conference is the high level of participation by researchers from both academia and industry. Another unique feature of CIVR this year was in its format – it o?ered both the traditional oral presentation sessions, as well as the short presentation cum poster sessions. The latter provided an informal alternative forum for animated discussions and exchanges of ideas among the participants. We are pleased to note that interest in CIVR has grown over the years. The number of submissions has steadily increased from 82 in 2002, to 119 in 2003, and 125 in 2004. This year, we received 128 submissions from the international communities:with81(63.3%)fromAsiaandAustralia,25(19.5%)fromEurope, and 22 (17.2%) from North America. After a rigorous review process, 20 papers were accepted for oral presentations, and 42 papers were accepted for poster presentations. In addition to the accepted submitted papers, the program also included 4 invited papers, 1 keynote industrial paper, and 4 invited industrial papers. Altogether, we o?ered a diverse and interesting program, addressing the current interests and future trends in this area.
Download or read book Grid and Cooperative Computing GCC 2004 written by Hai Jin and published by Springer Science & Business Media. This book was released on 2004-10-14 with total page 1047 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the joint refereed proceedings of five international workshops held in association with the Third International Conference on Grid and Cooperative Computing, GCC 2004, in Wuhan, China in October 2004. The 95 revised workshop papers presented were carefully reviewed and selected from a total of 154 submissions. In accordance with the workshop titles, the papers are organized in topical sections on the information grid and knowledge grid; storage grid and technologies; information security and survivability for the grid; agents, autonomic computing, and grid enabled virtual organization; and visualization and visual steering.
Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Science & Business Media. This book was released on 2013-12-09 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.
