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Proceedings Of The Mlnet Familiarization Workshop On Theory Revision And Restructuring In Machine Learning
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Book Synopsis Proceedings of the MLNet Familiarization Workshop on Theory Revision and Restructuring in Machine Learning by : Stefan Wrobel
Download or read book Proceedings of the MLNet Familiarization Workshop on Theory Revision and Restructuring in Machine Learning written by Stefan Wrobel and published by . This book was released on 1994 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the MLNet Familiarization Workshop on Theory Revision and Restructuring in Machine Learning by : Stefan Wrobel
Download or read book Proceedings of the MLNet Familiarization Workshop on Theory Revision and Restructuring in Machine Learning written by Stefan Wrobel and published by . This book was released on 1994 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Theory Revision and Restructuring in Machine Learning by : Stefan Wrobel
Download or read book Theory Revision and Restructuring in Machine Learning written by Stefan Wrobel and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sharing Data and Models in Software Engineering by : Tim Menzies
Download or read book Sharing Data and Models in Software Engineering written by Tim Menzies and published by Morgan Kaufmann. This book was released on 2014-12-22 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects. Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineering Explains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfalls Provides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge research Addresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data
Book Synopsis Computers As Assistants by : Peter Hoschka
Download or read book Computers As Assistants written by Peter Hoschka and published by CRC Press. This book was released on 2021-02-01 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer systems based on the notion of the computer as assistant have recently become the focus of intense interest. The expanding role of the computer in everyday life and the growing number of untrained users make it necessary to think about new ways of dividing labor between humans and machines. Future systems must take on more tasks and perform them more competently and autonomously than existing systems. If they are to be adequately flexible and responsive to complexity, they cannot automate their performance completely. The aim of designers should be to create computer systems with capabilities similar to those of good assistants in the real world. Effective assistance has many characteristics. An assistant is expected to be competent in some domains of expertise, to know the limits of his/her knowledge, to be able to process inexact instructions from clients, to adjust to and learn from them, to explain his/her behavior and suggestions, and to support clients in communication and cooperation with other people. This book believes that such capabilities can be built into computer systems. To that end, the chapter contributors discuss the concepts and methods--particularly from the fields of artificial intelligence and computer-supported cooperative work (CSCW)--that they have drawn from to develop successful system prototypes. They present several of these prototypes including assistants for graphics design, knowledge discovery in data bases, coordination support, organizational memory, user interface design, and knowledge base construction. As such, this volume helps map out the future for all those involved in computer systems design.
Book Synopsis Machine Learning by : Lorenza Saitta
Download or read book Machine Learning written by Lorenza Saitta and published by Morgan Kaufmann Publishers. This book was released on 1996 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Index of Conference Proceedings by :
Download or read book Index of Conference Proceedings written by and published by . This book was released on 1994 with total page 976 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Handbook of Computational Linguistics and Natural Language Processing by : Alexander Clark
Download or read book The Handbook of Computational Linguistics and Natural Language Processing written by Alexander Clark and published by John Wiley & Sons. This book was released on 2013-04-24 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
Book Synopsis The Balancing Act by : Judith L. Klavans
Download or read book The Balancing Act written by Judith L. Klavans and published by MIT Press. This book was released on 1996 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Symbolic and statistical approaches to language have historically been at odds--the former viewed as difficult to test and therefore perhaps impossible to define, and the latter as descriptive but possibly inadequate. At the heart of the debate are fundamental questions concerning the nature of language, the role of data in building a model or theory, and the impact of the competence-performance distinction on the field of computational linguistics. Currently, there is an increasing realization in both camps that the two approaches have something to offer in achieving common goals. The eight contributions in this book explore the inevitable "balancing act" that must take place when symbolic and statistical approaches are brought together--including basic choices about what knowledge will be represented symbolically and how it will be obtained, what assumptions underlie the statistical model, what principles motivate the symbolic model, and what the researcher gains by combining approaches. The topics covered include an examination of the relationship between traditional linguistics and statistical methods, qualitative and quantitative methods of speech translation, study and implementation of combined techniques for automatic extraction of terminology, comparative analysis of the contributions of linguistic cues to a statistical word grouping system, automatic construction of a symbolic parser via statistical techniques, combining linguistic with statistical methods in automatic speech understanding, exploring the nature of transformation-based learning, and a hybrid symbolic/statistical approach to recovering from parser failures.
Book Synopsis Abduction, Belief, and Context in Dialogue by : Harry C. Bunt
Download or read book Abduction, Belief, and Context in Dialogue written by Harry C. Bunt and published by John Benjamins Publishing. This book was released on 2000-01-01 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title delves into the world of pragmatics; of abduction and induction, and looks at topics such as context modelling, and an activity-based approach to pragmatics, as well as discourse focus tracking.
Book Synopsis Recent Advances in Example-Based Machine Translation by : M. Carl
Download or read book Recent Advances in Example-Based Machine Translation written by M. Carl and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals. Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.
Book Synopsis Semisupervised Learning for Computational Linguistics by : Steven Abney
Download or read book Semisupervised Learning for Computational Linguistics written by Steven Abney and published by CRC Press. This book was released on 2019-08-30 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult for nonspecialists to keep up to date in the field. Providing a broad, accessible treatment of the theory as well as linguistic applications, Semisupervised Learning for Computational Linguistics offers self-contained coverage of semisupervised methods that includes background material on supervised and unsupervised learning. The book presents a brief history of semisupervised learning and its place in the spectrum of learning methods before moving on to discuss well-known natural language processing methods, such as self-training and co-training. It then centers on machine learning techniques, including the boundary-oriented methods of perceptrons, boosting, support vector machines (SVMs), and the null-category noise model. In addition, the book covers clustering, the expectation-maximization (EM) algorithm, related generative methods, and agreement methods. It concludes with the graph-based method of label propagation as well as a detailed discussion of spectral methods. Taking an intuitive approach to the material, this lucid book facilitates the application of semisupervised learning methods to natural language processing and provides the framework and motivation for a more systematic study of machine learning.
Book Synopsis Memory-Based Language Processing by : Walter Daelemans
Download or read book Memory-Based Language Processing written by Walter Daelemans and published by Cambridge University Press. This book was released on 2005-09-01 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.
Book Synopsis Unification Grammars by : Nissim Francez
Download or read book Unification Grammars written by Nissim Francez and published by Cambridge University Press. This book was released on 2011-09-30 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grammars of natural languages can be expressed as mathematical objects, similar to computer programs. Such a formal presentation of grammars facilitates mathematical reasoning with grammars (and the languages they denote), as well as computational implementation of grammar processors. This book presents one of the most commonly used grammatical formalisms, Unification Grammars, which underlies contemporary linguistic theories such as Lexical-Functional Grammar (LFG) and Head-driven Phrase Structure Grammar (HPSG). The book provides a robust and rigorous exposition of the formalism that is both mathematically well-founded and linguistically motivated. While the material is presented formally, and much of the text is mathematically oriented, a core chapter of the book addresses linguistic applications and the implementation of several linguistic insights in unification grammars. Dozens of examples and numerous exercises (many with solutions) illustrate key points. Graduate students and researchers in both computer science and linguistics will find this book a valuable resource.
Book Synopsis Artificial Intelligence and Computer Vision by : Y.A. Feldman
Download or read book Artificial Intelligence and Computer Vision written by Y.A. Feldman and published by Elsevier. This book was released on 1991-06-17 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current research in artificial intelligence and computer vision presented at the Israeli Symposium are combined in this volume to present an invaluable resource for students, industry and research organizations. Papers have been contributed from researchers worldwide, showing the growing interest of the international community in the work done in Israel. The papers selected are varied, reflecting the most contemporary research trends.
Author :Robin Cooper Publisher :Center for the Study of Language (CSLI) ISBN 13 :9780937073544 Total Pages :532 pages Book Rating :4.0/5 (735 download)
Book Synopsis Situation Theory and Its Applications: Volume 1 by : Robin Cooper
Download or read book Situation Theory and Its Applications: Volume 1 written by Robin Cooper and published by Center for the Study of Language (CSLI). This book was released on 1990 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Situation Theory grew out of attempts by Jon Barwise in the late 1970s to provide a semantics for 'naked-infinitive' perceptual reports such as 'Claire saw Jon run'. Barwise's intuition was that Claire didn't just see Jon, an individual, but Jon doing something, a situation. Situations are individuals having properties and standing in relations. A theory of situations would allow us to study and compare various types of situations or situation-like entitles, such as facts, events, and scenes. One of the central themes of situation theory of meaning and reference should be set within a general theory of information, one moreover that is rich enough to do justice to perception, communication, and thought. By now many people have contributed by the need to give a rigorous mathematical account of the principles of information that underwrite the theory.
Book Synopsis Connectionist Psycholinguistics by : Morten H. Christiansen
Download or read book Connectionist Psycholinguistics written by Morten H. Christiansen and published by Bloomsbury Publishing USA. This book was released on 2001-08-30 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Setting forth the state of the art, leading researchers present a survey on the fast-developing field of Connectionist Psycholinguistics: using connectionist or neural networks, which are inspired by brain architecture, to model empirical data on human language processing. Connectionist psycholinguistics has already had a substantial impact on the study of a wide range of aspects of language processing, ranging from inflectional morphology, to word recognition, to parsing and language production. Christiansen and Chater begin with an extended tutorial overview of Connectionist Psycholinguistics which is followed by the latest research by leading figures in each area of research. The book also focuses on the implications and prospects for connectionist models of language, not just for psycholinguistics, but also for computational and linguistic perspectives on natural language. The interdisciplinary approach will be relevant for, and accessible to psychologists, cognitive scientists, linguists, philosophers, and researchers in artificial intelligence.
