Growing Adaptive Machines

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Growing Adaptive Machines

Author : Taras Kowaliw
Publisher : Springer
ISBN 13 : 3642553370
Total Pages : 266 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Growing Adaptive Machines by : Taras Kowaliw

Download or read book Growing Adaptive Machines written by Taras Kowaliw and published by Springer. This book was released on 2014-06-04 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded only limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks. The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research. The book begins with broad overviews of artificial neurogenesis and bio-inspired machine learning, suitable both as an introduction to the domains and as a reference for experts. Several contributions provide perspectives and future hypotheses on recent highly successful trains of research, including deep learning, the Hyper NEAT model of developmental neural network design, and a simulation of the visual cortex. Other contributions cover recent advances in the design of bio-inspired artificial neural networks, including the creation of machines for classification, the behavioural control of virtual agents, the desi gn of virtual multi-component robots and morphologies and the creation of flexible intelligence. Throughout, the contributors share their vast expertise on the means and benefits of creating brain-like machines. This book is appropriate for advanced students and practitioners of artificial intelligence and machine learning.

Deep Learning

Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Encyclopedia of Evolutionary Biology

Author :
Publisher : Academic Press
ISBN 13 : 0128004266
Total Pages : 2138 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Encyclopedia of Evolutionary Biology by :

Download or read book Encyclopedia of Evolutionary Biology written by and published by Academic Press. This book was released on 2016-04-14 with total page 2138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Evolutionary Biology, Four Volume Set is the definitive go-to reference in the field of evolutionary biology. It provides a fully comprehensive review of the field in an easy to search structure. Under the collective leadership of fifteen distinguished section editors, it is comprised of articles written by leading experts in the field, providing a full review of the current status of each topic. The articles are up-to-date and fully illustrated with in-text references that allow readers to easily access primary literature. While all entries are authoritative and valuable to those with advanced understanding of evolutionary biology, they are also intended to be accessible to both advanced undergraduate and graduate students. Broad topics include the history of evolutionary biology, population genetics, quantitative genetics; speciation, life history evolution, evolution of sex and mating systems, evolutionary biogeography, evolutionary developmental biology, molecular and genome evolution, coevolution, phylogenetic methods, microbial evolution, diversification of plants and fungi, diversification of animals, and applied evolution. Presents fully comprehensive content, allowing easy access to fundamental information and links to primary research Contains concise articles by leading experts in the field that ensures current coverage of each topic Provides ancillary learning tools like tables, illustrations, and multimedia features to assist with the comprehension process

Budget Planning and Control Systems

Author : Lloyd R. Amey
Publisher : Pitman Publishing
ISBN 13 :
Total Pages : 316 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Budget Planning and Control Systems by : Lloyd R. Amey

Download or read book Budget Planning and Control Systems written by Lloyd R. Amey and published by Pitman Publishing. This book was released on 1979 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probabilistic Machine Learning

Author : Kevin P. Murphy
Publisher : MIT Press
ISBN 13 : 0262369303
Total Pages : 858 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Probabilistic Machine Learning by : Kevin P. Murphy

Download or read book Probabilistic Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2022-03-01 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.

Scientific American

Author :
Publisher :
ISBN 13 :
Total Pages : 428 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Scientific American by :

Download or read book Scientific American written by and published by . This book was released on 1894 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generation GrowBots: Materials, Mechanisms, and Biomimetic Design for Growing Robots

Author : Barbara Mazzolai
Publisher : Frontiers Media SA
ISBN 13 : 2889711854
Total Pages : 139 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Generation GrowBots: Materials, Mechanisms, and Biomimetic Design for Growing Robots by : Barbara Mazzolai

Download or read book Generation GrowBots: Materials, Mechanisms, and Biomimetic Design for Growing Robots written by Barbara Mazzolai and published by Frontiers Media SA. This book was released on 2021-08-18 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer-Aided Intelligent Recognition Techniques and Applications

Author : Dr. Muhammad Sarfraz
Publisher : John Wiley & Sons
ISBN 13 : 047009415X
Total Pages : 518 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Computer-Aided Intelligent Recognition Techniques and Applications by : Dr. Muhammad Sarfraz

Download or read book Computer-Aided Intelligent Recognition Techniques and Applications written by Dr. Muhammad Sarfraz and published by John Wiley & Sons. This book was released on 2005-11-01 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification. This cutting-edge book draws together the latest findings of industry experts and researchers from around the globe. It is a timely guide for all those require comprehensive, state-of-the-art advice on the present status and future potential of intelligent recognition technology. Computer-Aided Intelligent Recognition Techniques and Applications: Provides the user community with systems and tools for application in a very wide range of areas, including: IT, education, security, banking, police, postal services, manufacturing, mining, medicine, multimedia, entertainment, communications, data visualization, knowledge extraction, pattern classification and virtual reality. Disseminates information in a plethora of disciplines, for example pattern recognition, AI, image processing, computer vision and graphics, neural networks, cryptography, fuzzy logic, databases, evolutionary algorithms, shape and numerical analysis. Illustrates all theory with real-world examples and case studies. This valuable resource is essential reading for computer scientists, engineers, and consultants requiring up-to-date comprehensive guidance on the latest developments in computer-aided intelligent recognition techniques and applications. Its detailed, practical approach will be of interest to senior undergraduate and graduate students as well as researchers and industry experts in the field of intelligent recognition.

Growing Artificial Societies

Author : Joshua M. Epstein
Publisher : Brookings Institution Press
ISBN 13 : 9780262050531
Total Pages : 234 pages
Book Rating : 4.0/5 (55 download)

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Book Synopsis Growing Artificial Societies by : Joshua M. Epstein

Download or read book Growing Artificial Societies written by Joshua M. Epstein and published by Brookings Institution Press. This book was released on 1996-10-11 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: ""Growing Artificial Societies" is a milestone in social science research. It vividly demonstrates the potential of agent-based computer simulation to break disciplinary boundaries. It does this by analyzing in a unified framework the dynamic interactions of such diverse activities as trade, combat, mating, culture, and disease. It is an impressive achievement." -- Robert Axelrod, University of Michigan How do social structures and group behaviors arise from the interaction of individuals? "Growing Artificial Societies" approaches this question with cutting-edge computer simulation techniques. Fundamental collective behaviors such as group formation, cultural transmission, combat, and trade are seen to "emerge" from the interaction of individual agents following a few simple rules. In their program, named Sugarscape, Epstein and Axtell begin the development of a "bottom up" social science that is capturing the attention of researchers and commentators alike. The study is part of the 2050 Project, a joint venture of the Santa Fe Institute, the World Resources Institute, and the Brookings Institution. The project is an international effort to identify conditions for a sustainable global system in the next century and to design policies to help achieve such a system. "Growing Artificial Societies" is also available on CD-ROM, which includes about 50 animations that develop the scenarios described in the text. "Copublished with the Brookings Institution"

Advances in Distributed Computing and Machine Learning

Author : Suchismita Chinara
Publisher : Springer Nature
ISBN 13 : 9819912032
Total Pages : 600 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Advances in Distributed Computing and Machine Learning by : Suchismita Chinara

Download or read book Advances in Distributed Computing and Machine Learning written by Suchismita Chinara and published by Springer Nature. This book was released on 2023-06-27 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of peer-reviewed best selected research papers presented at the Fourth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2023), organized by Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India, during 15–16 January 2023. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Machine Learning Proceedings 1995

Author : Armand Prieditis
Publisher : Morgan Kaufmann
ISBN 13 : 1483298663
Total Pages : 606 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Machine Learning Proceedings 1995 by : Armand Prieditis

Download or read book Machine Learning Proceedings 1995 written by Armand Prieditis and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1995

Machine Learning in Healthcare

Author : Bikesh Kumar Singh
Publisher : CRC Press
ISBN 13 : 1000540375
Total Pages : 253 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Machine Learning in Healthcare by : Bikesh Kumar Singh

Download or read book Machine Learning in Healthcare written by Bikesh Kumar Singh and published by CRC Press. This book was released on 2022-02-17 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.

Machine Learning in Earth, Environmental and Planetary Sciences

Author : Hossein Bonakdari
Publisher : Elsevier
ISBN 13 : 0443152853
Total Pages : 390 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Machine Learning in Earth, Environmental and Planetary Sciences by : Hossein Bonakdari

Download or read book Machine Learning in Earth, Environmental and Planetary Sciences written by Hossein Bonakdari and published by Elsevier. This book was released on 2023-07-03 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications is a practical guide on implementing different variety of extreme learning machine algorithms to Earth and environmental data. The book provides guided examples using real-world data for numerous novel and mathematically detailed machine learning techniques that can be applied in Earth, environmental, and planetary sciences, including detailed MATLAB coding coupled with line-by-line descriptions of the advantages and limitations of each method. The book also presents common postprocessing techniques required for correct data interpretation. This book provides students, academics, and researchers with detailed understanding of how machine learning algorithms can be applied to solve real case problems, how to prepare data, and how to interpret the results. Describes how to develop different schemes of machine learning techniques and apply to Earth, environmental and planetary data Provides detailed, guided line-by-line examples using real-world data, including the appropriate MATLAB codes Includes numerous figures, illustrations and tables to help readers better understand the concepts covered

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems

Author : Naidenova, Xenia
Publisher : IGI Global
ISBN 13 : 1466619015
Total Pages : 329 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems by : Naidenova, Xenia

Download or read book Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems written by Naidenova, Xenia and published by IGI Global. This book was released on 2012-07-31 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users' requirements and the quality of solving targeted problems in domain applications. Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations.

100 Fastest-Growing Careers

Author : Michael Farr
Publisher : JIST Works
ISBN 13 : 9781593573171
Total Pages : 404 pages
Book Rating : 4.5/5 (731 download)

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Book Synopsis 100 Fastest-Growing Careers by : Michael Farr

Download or read book 100 Fastest-Growing Careers written by Michael Farr and published by JIST Works. This book was released on 2006 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides descriptions of the fastest-growing careers with details on working conditions, earnings, training, projected growth, and related jobs, and advice on career planning and job search techniques.

Fungal Machines

Author : Andrew Adamatzky
Publisher : Springer Nature
ISBN 13 : 3031383362
Total Pages : 418 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Fungal Machines by : Andrew Adamatzky

Download or read book Fungal Machines written by Andrew Adamatzky and published by Springer Nature. This book was released on 2023-10-23 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book explores fungi as sensors, electronic devices, and potential future computers, offering eco-friendly alternatives to traditional electronics. Fungi are ancient, widely distributed organisms ranging from microscopic single cells to massive mycelium spanning hectares. They possess senses similar to humans, detecting light, chemicals, gases, gravity, and electric fields. It covers fungal electrical activity, sensors, electronics, computing prototypes, and fungal language. Authored by leading experts from diverse fields, the book is accessible to readers of all backgrounds, from high-schoolers to professors. It reveals the remarkable potential of fungal machines while minimizing environmental impact.

Imports and Growth in Highly Indebted Countries

Author : Jesko Hentschel
Publisher : Springer Science & Business Media
ISBN 13 : 3642467709
Total Pages : 219 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Imports and Growth in Highly Indebted Countries by : Jesko Hentschel

Download or read book Imports and Growth in Highly Indebted Countries written by Jesko Hentschel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: A real imports of capital and intermediate goods declined sharply for highlyindebted countries in the 1980s, these economies were faced with the need tosubstitute previously imported factors of production with domestic capital and labor. The study empirically analyzes the degree of import dependence of twelve developing countries. Estimates of the short-run elasticity of substitution characterize both imported capital and intermediate goods to behave like complements in the production process in the developing countries. Long-run substitution elasticites differ considerably among the group of economies, especially for imported machinery and equipment. The results indicate that inward-oriented strategies have not achieved the aim of reducing the import dependence of the developing economies. In order to visualize theimplications of the differing degree of import dependence, a partial equilibrium econometric model is used to analyze the reaction of the trade account on external shocks and domestic policies in Columbia and Ecuador. Simulations show that the dependence on imported production means can transform an "adjustment with growth" of the external account intoan "adjustment or growth" controversy.