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Comp Toefl 3e Txt 2 0 Cd Tp Pk
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Book Synopsis Comp Toefl 3e-Txt 2. 0 Cd Tp Pk by : Rogers
Download or read book Comp Toefl 3e-Txt 2. 0 Cd Tp Pk written by Rogers and published by . This book was released on 2002-08 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Text/CD-ROM/Audio Tape for HEINLE'S COMPLETE GUIDE TO THE TOEFL TEST
Book Synopsis Comp Toefl 3e-Txt 2. 0 Cd Cd Pk by : Rogers
Download or read book Comp Toefl 3e-Txt 2. 0 Cd Cd Pk written by Rogers and published by . This book was released on 2002-08 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Answer Key/Tapescript to accompany HEINLE'S COMPLETE GUIDE TO THE TOEFL TEST.
Book Synopsis Speech & Language Processing by : Dan Jurafsky
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:
Book Synopsis Writing Academic English by : Alice Oshima
Download or read book Writing Academic English written by Alice Oshima and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu
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.
Book Synopsis Effective Oracle by Design by : Thomas Kyte
Download or read book Effective Oracle by Design written by Thomas Kyte and published by McGraw Hill Professional. This book was released on 2003-09-12 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tom Kyte of Oracle Magazine’s “Ask Tom” column has written the definitive guide to designing and building high-performance, scalable Oracle applications. The book covers schema design, SQL and PL/SQL, tables and indexes, and much more. From the exclusive publisher of Oracle Press books, this is a must-have resource for all Oracle developers and DBAs.
Book Synopsis Advanced Machine Learning Technologies and Applications by : Aboul Ella Hassanien
Download or read book Advanced Machine Learning Technologies and Applications written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-05-25 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 – 15, 2020, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization.
Book Synopsis Ontology Learning and Population by : Paul Buitelaar
Download or read book Ontology Learning and Population written by Paul Buitelaar and published by IOS Press. This book was released on 2008 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee.
Book Synopsis The Internet and ELT by : David Eastment
Download or read book The Internet and ELT written by David Eastment and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The SAGE Handbook of Quantitative Methodology for the Social Sciences by : David Kaplan
Download or read book The SAGE Handbook of Quantitative Methodology for the Social Sciences written by David Kaplan and published by SAGE. This book was released on 2004-06-21 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.
Book Synopsis The Elements of Statistical Learning by : Trevor Hastie
Download or read book The Elements of Statistical Learning written by Trevor Hastie and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Book Synopsis Innovations in Computer Science and Engineering by : Harvinder Singh Saini
Download or read book Innovations in Computer Science and Engineering written by Harvinder Singh Saini and published by Springer Nature. This book was released on 2020-03-03 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a collection of high-quality, peer-reviewed research papers presented at the 7th International Conference on Innovations in Computer Science & Engineering (ICICSE 2019), held at Guru Nanak Institutions, Hyderabad, India, on 16–17 August 2019. Written by researchers from academia and industry, the book discusses a wide variety of industrial, engineering, and scientific applications of the emerging techniques in the field of computer science.
Book Synopsis Security Assistance Management Manual by : United States. Defense Security Assistance Agency
Download or read book Security Assistance Management Manual written by United States. Defense Security Assistance Agency and published by . This book was released on 1988 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Teaching and Language Corpora by : Anne Wichmann
Download or read book Teaching and Language Corpora written by Anne Wichmann and published by Routledge. This book was released on 2014-06-11 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpora are well-established as a resource for language research; they are now also increasingly being used for teaching purposes. This book is the first of its kind to deal explicitly and in a wide-ranging way with the use of corpora in teaching. It contains an extensive collection of articles by corpus linguists and practising teachers, covering not only the use of data to inform and create teaching materials but also the direct exploitation of corpora by students, both in the study of linguistics in general and in the acquisition of proficiency in individual languages, including English, Welsh, German, French and Italian. In addition, the book offers practical information on the sources of corpora and concordances, including those suitable for work on non-roman scripts such as Greek and Cyrillic.
Book Synopsis A Textbook of Engineering Mathematics (For First Year ,Anna University) by : N.P. Bali
Download or read book A Textbook of Engineering Mathematics (For First Year ,Anna University) written by N.P. Bali and published by Laxmi Publications. This book was released on 2009 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis NATURAL LANGUAGE PROCESSING by : VINEET CHAITANYA
Download or read book NATURAL LANGUAGE PROCESSING written by VINEET CHAITANYA and published by . This book was released on 1996 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a Paninian perspective towards natural language processing. It has three objectives: (1) to introduce the reader to NLP, (2) to introduce the reader to Paninian Grammar (PG) which is the application of the original Paninian framework to the processing of modern Indian languages using the computer, (3) to compare Paninian Grammar (PG) framework with modern Western computational grammar frameworks.Indian languages like many other languages of the world have relatively free word order. They also have a rich system of case-endings and post-positions. In contrast to this, the majority of grammar frameworks and designed for English and other positional languages. The unique aspect of the computational grammar describes here is that it is designed for free word order languages and makes special use of case-endings and post-positions. Efficient parsers for the grammar are also described. The computational grammar is likely to be suitable for other free word order languages of the world.Second half of the book presents a comparison of Paninian Grammar (PG) with existing modern western computational grammars. It introduces three western grammar frameworks using examples from English: Lexical Functional Grammar (LFG), Tree Adjoining Grammar (TAG), and Government and Binding (GB). The presentation does not assume any background on part of the reader regarding these frameworks. Each presentation is followed by either a discussion on applicability of the framework to free word order languages, or a comparison with PG framework.
Book Synopsis Cybernetics, Cognition and Machine Learning Applications by : Vinit Kumar Gunjan
Download or read book Cybernetics, Cognition and Machine Learning Applications written by Vinit Kumar Gunjan and published by Springer. This book was released on 2020-05-30 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2019), which was held in Goa, India, on 16–17 August 2019. It covers the latest research trends and advances in the areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber-physical systems, and cybernetics.