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Classification Du Texte Numerique Et Numerise Approche Fondee Sur Les Algorithmes Dapprentissage Automatique
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Book Synopsis Classification du texte numérique et numérisé. Approche fondée sur les algorithmes d'apprentissage automatique by : Karim Sayadi
Download or read book Classification du texte numérique et numérisé. Approche fondée sur les algorithmes d'apprentissage automatique written by Karim Sayadi and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Différentes disciplines des sciences humaines telles la philologie ou la paléographie font face à des tâches complexes et fastidieuses pour l'examen des sources de données. La proposition d'approches computationnelles en humanités permet d'adresser les problématiques rencontrées telles que la lecture, l'analyse et l'archivage de façon systématique. Les modèles conceptuels élaborés reposent sur des algorithmes et ces derniers donnent lieu à des implémentations informatiques qui automatisent ces tâches fastidieuses. La première partie de la thèse vise, d'une part, à établir la structuration thématique d'un corpus, en construisant des espaces sémantiques de grande dimension. D'autre part, elle vise au suivi dynamique des thématiques qui constitue un réel défi scientifique, notamment en raison du passage à l'échelle. La seconde partie de la thèse traite de manière holistique la page d'un document numérisé sans aucune intervention préalable. Le but est d'apprendre automatiquement des représentations du trait de l'écriture ou du tracé d'un certain script par rapport au tracé d'un autre script. Il faut dans ce cadre tenir compte de l'environnement où se trouve le tracé : image, artefact, bruits dus à la détérioration de la qualité du papier, etc. Notre approche propose un empilement de réseaux de neurones auto-encodeurs afin de fournir une représentation alternative des données reçues en entrée.
Book Synopsis FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk by : Majid Bazarbash
Download or read book FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk written by Majid Bazarbash and published by International Monetary Fund. This book was released on 2019-05-17 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financial inclusion and outperform traditional credit scoring by (1) leveraging nontraditional data sources to improve the assessment of the borrower’s track record; (2) appraising collateral value; (3) forecasting income prospects; and (4) predicting changes in general conditions. However, because of the central role of data in ML-based analysis, data relevance should be ensured, especially in situations when a deep structural change occurs, when borrowers could counterfeit certain indicators, and when agency problems arising from information asymmetry could not be resolved. To avoid digital financial exclusion and redlining, variables that trigger discrimination should not be used to assess credit rating.
Book Synopsis Opinion Mining and Sentiment Analysis by : Bo Pang
Download or read book Opinion Mining and Sentiment Analysis written by Bo Pang and published by Now Publishers Inc. This book was released on 2008 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems.
Author :Neural Information Processing Systems Foundation Publisher :MIT Press ISBN 13 :0262026171 Total Pages :361 pages Book Rating :4.2/5 (62 download)
Book Synopsis Predicting Structured Data by : Neural Information Processing Systems Foundation
Download or read book Predicting Structured Data written by Neural Information Processing Systems Foundation and published by MIT Press. This book was released on 2007 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
Book Synopsis The Future of the Mind by : Michio Kaku
Download or read book The Future of the Mind written by Michio Kaku and published by Anchor. This book was released on 2015-02-17 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Michio Kaku, the New York Times bestselling author of Physics of the Impossible and Physics of the Future tackles the most fascinating and complex object in the known universe: the human brain. The Future of the Mind brings a topic that once belonged solely to the province of science fiction into a startling new reality. This scientific tour de force unveils the astonishing research being done in top laboratories around the world—all based on the latest advancements in neuroscience and physics—including recent experiments in telepathy, mind control, avatars, telekinesis, and recording memories and dreams. The Future of the Mind is an extraordinary, mind-boggling exploration of the frontiers of neuroscience. Dr. Kaku looks toward the day when we may achieve the ability to upload the human brain to a computer, neuron for neuron; project thoughts and emotions around the world on a brain-net; take a “smart pill” to enhance cognition; send our consciousness across the universe; and push the very limits of immortality.
Book Synopsis An Introduction to Computational Learning Theory by : Michael J. Kearns
Download or read book An Introduction to Computational Learning Theory written by Michael J. Kearns and published by MIT Press. This book was released on 1994-08-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.
Book Synopsis The Nature of Statistical Learning Theory by : Vladimir Vapnik
Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton
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.
Book Synopsis Digital Sociology by : Noortje Marres
Download or read book Digital Sociology written by Noortje Marres and published by John Wiley & Sons. This book was released on 2017-05-11 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This provocative new introduction to the field of digital sociology offers a critical overview of interdisciplinary debates about new ways of knowing society that are emerging today at the interface of computing, media, social research and social life. Digital Sociology introduces key concepts, methods and understandings that currently inform the development of specifically digital forms of social enquiry. Marres assesses the relevance and usefulness of digital methods, data and techniques for the study of sociological phenomena and evaluates the major claim that computation makes possible a new ‘science of society’. As Marres argues, the digital does much more than inspire innovation in social research: it forces us to engage anew with fundamental sociological questions. We must learn to appreciate that the digital has the capacity to throw into crisis existing knowledge frameworks and is likely to reconfigure wider relations. This timely engagement with a key transformation of our age will be indispensable reading for undergraduate and graduate students taking courses in digital sociology, digital media, computing and society.
Book Synopsis Max Weber and Karl Marx by : Karl Lowith
Download or read book Max Weber and Karl Marx written by Karl Lowith and published by Routledge. This book was released on 2002-11-01 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2004. Lowith's study of Max Weber and Karl Marx is a key text in modem interpretations of the theme of alienation in Marxist theory and rationalisation in Weber's sociology. It remains the best short student introduction to the differences and comparisons between these essential thinkers. This new edition includes a Preface by Professor Bryan S. Turner which demonstrates the relevance of the book for contemporary sociology.
Book Synopsis CIKM'13 by : CIKM 13 Conference Committee
Download or read book CIKM'13 written by CIKM 13 Conference Committee and published by . This book was released on 2013-10-27 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: CIKM'13: 22nd ACM International Conference on Information and Knowledge Management Oct 27, 2013-Nov 01, 2013 San Francisco, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Book Synopsis ICT and Changing Mindsets in Education by : Kathryn Toure
Download or read book ICT and Changing Mindsets in Education written by Kathryn Toure and published by African Books Collective. This book was released on 2008 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: The debate is no longer whether to use information and communication technologies (ICT) in education in Africa but how to do so, and how to ensure equitable access for teachers and learners, whether in urban or rural settings. This is a book about how Africans adopt and adapt ICT. It is also about how ICT shape African schools and classrooms. Why do we use ICT, or not? Do girls and boys use them in the same ways? How are teachers and students in primary and secondary schools in Africa using ICT in teaching and learning? How does the process transform relations among learners, educators and knowledge construction? This collection by 19 researchers from Africa, Europe, and North America, explores these questions from a pedagogical perspective and specific socio-cultural contexts. Many of the contributors draw on learning theory and survey data from 36 schools, 66000 students and 3000 teachers. The book is rich in empirical detail on the perceived importance and appropriation of ICT in the development of education in Africa. It critically examines the potential for creative use of ICT to question habits, change mindsets, and deepen practice. The contributions are in both English and French.
Book Synopsis The Routledge Companion to Actor-Network Theory by : Anders Blok
Download or read book The Routledge Companion to Actor-Network Theory written by Anders Blok and published by Routledge. This book was released on 2019-06-17 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: This companion explores ANT as an intellectual practice, tracking its movements and engagements with a wide range of other academic and activist projects. Showcasing the work of a diverse set of ‘second generation’ ANT scholars from around the world, it highlights the exciting depth and breadth of contemporary ANT and its future possibilities. The companion has 38 chapters, each answering a key question about ANT and its capacities. Early chapters explore ANT as an intellectual practice and highlight ANT’s dialogues with other fields and key theorists. Others open critical, provocative discussions of its limitations. Later sections explore how ANT has been developed in a range of social scientific fields and how it has been used to explore a wide range of scales and sites. Chapters in the final section discuss ANT’s involvement in ‘real world’ endeavours such as disability and environmental activism, and even running a Chilean hospital. Each chapter contains an overview of relevant work and introduces original examples and ideas from the authors’ recent research. The chapters orient readers in rich, complex fields and can be read in any order or combination. Throughout the volume, authors mobilise ANT to explore and account for a range of exciting case studies: from wheelchair activism to parliamentary decision-making; from racial profiling to energy consumption monitoring; from queer sex to Korean cities. A comprehensive introduction by the editors explores the significance of ANT more broadly and provides an overview of the volume. The Routledge Companion to Actor-Network Theory will be an inspiring and lively companion to academics and advanced undergraduates and postgraduates from across many disciplines across the social sciences, including Sociology, Geography, Politics and Urban Studies, Environmental Studies and STS, and anyone wishing to engage with ANT, to understand what it has already been used to do and to imagine what it might do in the future.
Book Synopsis Data Mining With Decision Trees: Theory And Applications (2nd Edition) by : Oded Z Maimon
Download or read book Data Mining With Decision Trees: Theory And Applications (2nd Edition) written by Oded Z Maimon and published by World Scientific. This book was released on 2014-09-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.This book invites readers to explore the many benefits in data mining that decision trees offer:
Author :Dimitris N. Christodoulakis Publisher :Springer Science & Business Media ISBN 13 :3540676058 Total Pages :444 pages Book Rating :4.5/5 (46 download)
Book Synopsis Natural Language Processing - NLP 2000 by : Dimitris N. Christodoulakis
Download or read book Natural Language Processing - NLP 2000 written by Dimitris N. Christodoulakis and published by Springer Science & Business Media. This book was released on 2000-05-24 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers prepared for the 2nd International Conference on Natural Language Processing, held 2-4 June in Patras, Greece. The conference program features invited talks and submitted papers, c- ering a wide range of NLP areas: text segmentation, morphological analysis, lexical knowledge acquisition and representation, grammar formalism and s- tacticparsing,discourse analysis,languagegeneration,man-machineinteraction, machine translation, word sense disambiguation, and information extraction. The program committee received 71 abstracts, of which unfortunately no more than 50% could be accepted. Every paper was reviewed by at least two reviewers. The fairness of the reviewing process is demonstrated by the broad spread of institutions and countries represented in the accepted papers. So many have contributed to the success of the conference. The primary credit, ofcourse, goes to theauthors andto the invitedspeakers. By theirpapers and their inspired talks they established the quality of the conference. Secondly, thanks should go to the referees and to the program committee members who did a thorough and conscientious job. It was not easy to select the papers to be presented. Last, but not least, my special thanks to the organizing committee for making this conference happen.
Book Synopsis UNESCO’s Internet universality indicators by : Souter, David
Download or read book UNESCO’s Internet universality indicators written by Souter, David and published by UNESCO Publishing. This book was released on 2019-04-23 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Analysis of Communication Content by : Bernard Berelson
Download or read book The Analysis of Communication Content written by Bernard Berelson and published by . This book was released on 1948 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
