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Book Features

    Book Details:
  • Author : Greville G. Corbett
  • Publisher : Cambridge University Press
  • Release : 2012-10-11
  • ISBN : 1139789724
  • Pages : 341 pages

Download or read book Features written by Greville G. Corbett and published by Cambridge University Press. This book was released on 2012-10-11 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features are a central concept in linguistic analysis. They are the basic building blocks of linguistic units, such as words. For many linguists they offer the most revealing way to explore the nature of language. Familiar features are Number (singular, plural, dual, ...), Person (1st, 2nd, 3rd) and Tense (present, past, ...). Features have a major role in contemporary linguistics, from the most abstract theorizing to the most applied computational applications, yet little is firmly established about their status. They are used, but are little discussed and poorly understood. In this unique work, Corbett brings together two lines of research: how features vary between languages and how they work. As a result, the book is of great value to the broad range of perspectives of those who are interested in language.

Book Creature Features

Download or read book Creature Features written by Steve Jenkins and published by Houghton Mifflin Harcourt. This book was released on 2014 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines unusual animal facial features and how they help the animals survive.

Book Earth s Features

Download or read book Earth s Features written by Inc World Book and published by World Book, Incorporated. This book was released on 2016-06-01 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: How much of the world's water is found in the oceans? How many volcanoes erupt each year? How was the Grand Canyon formed? Read this book to find out! Part of World Book's Learning Ladders series, this book tells children about different kinds of landforms and how they shape Earth. Children also learn about bodies of water and their importance to people. Each spread includes introductory text, colorful illustrations with detailed captions, and photographs that show real-world examples of the featured topic. Puzzle pages, fun facts, and true/false quizzes appear at the end of each volume.

Book Parametric and Feature Based CAD CAM

Download or read book Parametric and Feature Based CAD CAM written by Jami J. Shah and published by John Wiley & Sons. This book was released on 1995-11-03 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is the complete introduction and applications guide to this new technology. This book introduces the reader to features and gives an overview of geometric modeling techniques, discusses the conceptual development of features as modeling entities, illustrates the use of features for a variety of engineering design applications, and develops a set of broad functional requirements and addresses high level design issues.

Book Wh movement and the Theory of Feature checking

Download or read book Wh movement and the Theory of Feature checking written by Andrew Simpson and published by John Benjamins Publishing. This book was released on 2000-01-01 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wh-movement and the theory of feature-checking argues that cross-linguistic variation in wh-constructions reduces to the availability of different lexical instantiations of a +wh C0 both across languages and within a single language, and the way in which such lexical elements are syntactically identified, either via movement or base-generation. Evidence from a wide range of patterns including wh-expletive questions leads to the conclusion that wh-feature checking may sometimes be effected non-locally and 'at a distance' (long-distance wh-agreement), and that movement in general takes place for two related but discrete reasons: both to identify and activate an underspecified licensing head and in order for an element to occur in the checking domain projected by its relevant licensing head. Developing and generalizing the proposals beyond wh-phenomena, the study also goes on to argue for a Minimalist model of syntax in which feature-dependencies are in fact all licensed in the overt syntax and where there is no need for any further level of LF.

Book Creature Features

Download or read book Creature Features written by John Stanley and published by Berkley. This book was released on 2000-08 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated to include the most movie mega-hits, this sci-fi, fantasy, and horror movie guide has it all--the shockers, schlockers, blockbusters, bombs, cult faves, rare gems, classics, groundbreakers, gorefests, space operas, sorcery, Euro-splatter, and everything in between.

Book Feature Representation and Learning Methods With Applications in Protein Secondary Structure

Download or read book Feature Representation and Learning Methods With Applications in Protein Secondary Structure written by Zhibin Lv and published by Frontiers Media SA. This book was released on 2021-10-25 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Unsupervised Feature Extraction Applied to Bioinformatics

Download or read book Unsupervised Feature Extraction Applied to Bioinformatics written by Y-h. Taguchi and published by Springer Nature. This book was released on 2019-08-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics. Allows readers to analyze data sets with small samples and many features; Provides a fast algorithm, based upon linear algebra, to analyze big data; Includes several applications to multi-view data analyses, with a focus on bioinformatics.

Book Recent Advances in Ensembles for Feature Selection

Download or read book Recent Advances in Ensembles for Feature Selection written by Verónica Bolón-Canedo and published by Springer. This book was released on 2018-04-30 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance. With the advent of Big Data, feature selection (FS) has become more necessary than ever to achieve dimensionality reduction. With so many methods available, it is difficult to choose the most appropriate one for a given setting, thus making the ensemble paradigm an interesting alternative. The authors first focus on the foundations of ensemble learning and classical approaches, before diving into the specific aspects of ensembles for FS, such as combining partial results, measuring diversity and evaluating ensemble performance. Lastly, the book shows examples of successful applications of ensembles for FS and introduces the new challenges that researchers now face. As such, the book offers a valuable guide for all practitioners, researchers and graduate students in the areas of machine learning and data mining.

Book Advances in Feature Based Manufacturing

Download or read book Advances in Feature Based Manufacturing written by J.J. Shah and published by Elsevier. This book was released on 2013-10-22 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Well known researchers in all areas related to featured based manufacturing have contributed chapters to this book. Some of the chapters are surveys, while others review a specific technique. All contributions, including those from the editors, were thoroughly refereed. The goal of the book is to provide a comprehensive picture of the present stage of development of Features Technology from the point of view of applications in manufacturing. The book is aimed at several audiences. Firstly, it provides the research community with an overview of the present state-of-the-art features in manufacturing, along with references in the literature. Secondly, the book will be useful as supporting material for a graduate-level course on product modeling and realization. Finally, the book will also be valuable to industrial companies who are assessing the significance of features for their business.

Book Advances in Feature Selection for Data and Pattern Recognition

Download or read book Advances in Feature Selection for Data and Pattern Recognition written by Urszula Stańczyk and published by Springer. This book was released on 2017-11-16 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved. Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners.

Book EEG Signal Processing and Feature Extraction

Download or read book EEG Signal Processing and Feature Extraction written by Li Hu and published by Springer Nature. This book was released on 2019-10-12 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.

Book Untamed

    Book Details:
  • Author : Will Harlan
  • Publisher : Open Road + Grove/Atlantic
  • Release : 2014-05-06
  • ISBN : 0802192629
  • Pages : 310 pages

Download or read book Untamed written by Will Harlan and published by Open Road + Grove/Atlantic. This book was released on 2014-05-06 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: The inspiring biography of the adventuresome naturalist Carol Ruckdeschel and her crusade to save her island home from environmental disaster. In a “moving homage . . . that artfully articulates the ferocities of nature and humanity,” biographer Will Harlan captures the larger-than-life story of biologist, naturalist, and ecological activist Carol Ruckdeschel, known to many as the wildest woman in America. She wrestles alligators, eats roadkill, rides horses bareback, and lives in a ramshackle cabin that she built by hand in an island wilderness. A combination of Henry David Thoreau and Jane Goodall, Carol is a self-taught scientist who has become a tireless defender of sea turtles on Cumberland Island, a national park off the coast of Georgia (Kirkus Reviews). Cumberland, the country’s largest and most biologically diverse barrier island, is celebrated for its windswept dunes and feral horses. Steel magnate Thomas Carnegie once owned much of the island, and in recent years, Carnegie heirs and the National Park Service have clashed with Carol over the island’s future. What happens when a dirt-poor naturalist with only a high school diploma becomes an outspoken advocate on a celebrated but divisive island? Untamed is the story of an American original who fights for what she believes in, no matter the cost, “an environmental classic that belongs on the shelf alongside Carson, Leopold, Muir, and Thoreau” (Thomas Rain Crowe, author of Zoro’s Field: My Life in the Appalachian Woods). “Vivid. . . . Ms. Ruckdeschel’s biography, and the way this wandering soul came to settle for so many decades on Cumberland Island, is big enough on its own, but Mr. Harlan hints at bigger questions.” —The Wall Street Journal “Wild country produces wild people, who sometimes are just what’s needed to keep that wild cycle going. This is a memorable portrait.” —Bill McKibben, author of The End of Nature “Deliciously engrossing. . . . Readers are in for a wild ride.” —The Citizen-Times

Book Feature Engineering for Machine Learning and Data Analytics

Download or read book Feature Engineering for Machine Learning and Data Analytics written by Guozhu Dong and published by CRC Press. This book was released on 2018-03-14 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation. The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for major data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific features. The first chapter defines the concepts of features and feature engineering, offers an overview of the book, and provides pointers to topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature engineering, deep learning based feature engineering, and pattern based feature generation and engineering. The last three chapters discuss feature engineering for social bot detection, software management, and Twitter-based applications respectively. This book can be used as a reference for data analysts, big data scientists, data preprocessing workers, project managers, project developers, prediction modelers, professors, researchers, graduate students, and upper level undergraduate students. It can also be used as the primary text for courses on feature engineering, or as a supplement for courses on machine learning, data mining, and big data analytics.

Book Features of Person

Download or read book Features of Person written by Peter Ackema and published by MIT Press. This book was released on 2018-10-30 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: A proposal that person features do not have inherent content but are used to navigate a “person space” at the heart of every pronominal expression. This book offers a significant reconceptualization of the person system in natural language. The authors, leading scholars in syntax and its interfaces, propose that person features do not have inherent content but are used to navigate a “person space” at the heart of every pronominal expression. They map the journey of person features in grammar, from semantics through syntax to the system of morphological realization. Such an in-depth cross-modular study allows the development of a theory in which assumptions made about the behavior of a given feature in one module bear on possible assumptions about its behavior in other modules. The authors' new theory of person, built on a sparse set of two privative person features, delivers a typologically adequate inventory of persons; captures the semantics of personal pronouns, impersonal pronouns, and R-expressions; accounts for aspects of their syntactic behavior; and explains patterns of person-related syncretism in the realization of pronouns and inflectional endings. The authors discuss numerous observations from the literature, defend a number of theoretical choices that are either new or not generally accepted, and present novel empirical findings regarding phenomena as different as honorifics, number marking, and unagreement.

Book Funny Features

    Book Details:
  • Author : D.J. Gunter
  • Publisher : AuthorHouse
  • Release : 2014-02-28
  • ISBN : 1491862262
  • Pages : 20 pages

Download or read book Funny Features written by D.J. Gunter and published by AuthorHouse. This book was released on 2014-02-28 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: Funny Features stars a giraffe that has always been self conscious about his height. However, once he discovers laughter is his best medicine, he decides that being tall is nothing more than just a funny feature.

Book Facial Features

    Book Details:
  • Author : Jennifer Boothroyd
  • Publisher : Lerner Publications ™
  • Release : 2017-08-01
  • ISBN : 1541505832
  • Pages : 33 pages

Download or read book Facial Features written by Jennifer Boothroyd and published by Lerner Publications ™. This book was released on 2017-08-01 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: What facial features do you have? Freckles are a common feature. So are turned-up noses and unattached earlobes. What determines your facial features? Read this book to find out about how your genes affect your physical features.