Download or read book Merging Features written by José M. Brucart and published by OUP Oxford. This book was released on 2009-01-29 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new work on how Merge and formal features, two basic factors in the Minimalist Program, should determine the syntactic computation of natural language. Merge combines simpler objects into more complex ones. Formal features establish dependencies within objects. In this book leading scholars examine the intricate ways in which these two factors interact to generate well-formed derivations in natural language. It is divided into two parts concerned with formal features and interpretable features - a subset of formal features. The authors combine grammatical theory with the analysis of data drawn from a wide range of languages, both in the adult grammar and in first language acquisition. The mechanisms at work in linguistic computation are considered in relation to a variety of linguistic phenomena, including A-binding, A'-dependencies and reconstruction, agreement, word order, adjuncts, pronouns and complementizers.
Download or read book Advances in Visual Computing written by Richard Boyle and published by Springer. This book was released on 2009-11-26 with total page 1238 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is with greatpleasure that we present the proceedings of the 5th International Symposium on Visual Computing (ISVC 2009), which was held in Las Vegas, Nevada. ISVC o?ers a common umbrella for the four main areas of visual c- puting includingvision,graphics,visualization,andvirtualreality.Thegoalisto provide a forum for researchers, scientists, engineers, and practitioners throu- out the world to present their latest research ?ndings, ideas, developments, and applications in the broader area of visual computing. This year, the program consisted of 16 oral sessions, one poster session, 7 special tracks, and 6 keynote presentations. Also, this year ISVC hosted the Third Semantic Robot Vision Challenge.The responseto the call for papers was verygood;wereceivedover320submissionsfor themainsymposiumfromwhich we accepted 97 papers for oral presentation and 63 papers for poster presen- tion. Special track papers were solicited separately through the Organizing and Program Committees of each track. A total of 40 papers were accepted for oral presentation and 15 papers for poster presentation in the special tracks. All papers were reviewed with an emphasis on potential to contribute to the state of the art in the ?eld. Selection criteria included accuracy and originality of ideas, clarity and signi?cance of results, and presentation quality. The review process was quite rigorous, involving two to three independent blind reviews followed by several days of discussion. During the discussion period we tried to correct anomalies and errors that might have existed in the initial reviews.
Download or read book The Beginner s Guide to Data Science written by Robert Ball and published by Springer Nature. This book was released on 2022-11-15 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics, machine learning, data visualization, natural language processing and time series analysis. Detailed investigations of techniques used in the implementation of recommendation engines and the proper selection of metrics for distance-based analysis are also covered. Utilizing numerous comprehensive code examples, figures, and tables to help clarify and illuminate essential data science topics, the authors provide an extensive treatment and analysis of real-world questions, focusing especially on the task of determining and assessing answers to these questions as expeditiously and precisely as possible. This book addresses the challenges related to uncovering the actionable insights in “big data,” leveraging database and data collection tools such as web scraping and text identification. This book is organized as 11 chapters, structured as independent treatments of the following crucial data science topics: Data gathering and acquisition techniques including data creation Managing, transforming, and organizing data to ultimately package the information into an accessible format ready for analysis Fundamentals of descriptive statistics intended to summarize and aggregate data into a few concise but meaningful measurements Inferential statistics that allow us to infer (or generalize) trends about the larger population based only on the sample portion collected and recorded Metrics that measure some quantity such as distance, similarity, or error and which are especially useful when comparing one or more data observations Recommendation engines representing a set of algorithms designed to predict (or recommend) a particular product, service, or other item of interest a user or customer wishes to buy or utilize in some manner Machine learning implementations and associated algorithms, comprising core data science technologies with many practical applications, especially predictive analytics Natural Language Processing, which expedites the parsing and comprehension of written and spoken language in an effective and accurate manner Time series analysis, techniques to examine and generate forecasts about the progress and evolution of data over time Data science provides the methodology and tools to accurately interpret an increasing volume of incoming information in order to discern patterns, evaluate trends, and make the right decisions. The results of data science analysis provide real world answers to real world questions. Professionals working on data science and business intelligence projects as well as advanced-level students and researchers focused on data science, computer science, business and mathematics programs will benefit from this book.
Download or read book Information and Communications Security written by Jianying Zhou and published by Springer Nature. This book was released on 2020-02-17 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21th International Conference on Information and Communications Security, ICICS 2019, held in Beijing, China, in December 2019. The 47 revised full papers were carefully selected from 199 submissions. The papers are organized in topics on malware analysis and detection, IoT and CPS security enterprise network security, software security, system security, authentication, applied cryptograph internet security, machine learning security, machine learning privacy, Web security, steganography and steganalysis.
Download or read book Modeling Our World written by Michael Zeiler and published by ESRI, Inc.. This book was released on 1999 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographic data models are digital frameworks that describe the location and characteristics of things in the world around us. With a geographic information system, we can use these models as lenses to see, interpret, and analyze the infinite complexity of our natural and man-made environments. With the geodatabase, a new geographic data model introduced with ArcInfo 8, you can extend significantly the level of detail and range of accuracy with which you can model geographic reality in a database environment.
Download or read book When Arguments Merge written by Elise Newman and published by MIT Press. This book was released on 2024-10-15 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: A novel theory of argument structure based on the order in which verbs and their arguments combine across a variety of languages and language families. Merge is the structure-building operation in Chomsky’s Minimalist Program. In When Arguments Merge, Elise Newman develops a new Merge-based theory of the syntax of argument structure, taking inspiration from wh- questions. She uncovers new connections between disparate empirical phenomena and provides a unified analysis of patterns across many languages and language families, from Mayan to Bantu to Indo-European languages (among others). The result is a syntactic theory with a small inventory of features and categories that can combine in a limited number of ways, capturing the range of argument configurations that we find cross-linguistically in both declarative and interrogative contexts. Newman’s novel approach to argument structure is based on the time at which different kinds of arguments merge and move in the verbal domain. Assuming that all kinds of Merge are driven by features, she proposes that subset relationships between elements bearing different sets of features can constrain the distribution of arguments in unexpected ways and that different feature bundles can predict unusual interactions between arguments in many contexts. The positions of arguments in different contexts have consequences for agreement alignment and case assignment, which are reflected in the Voice of the clause. Examining the order in which verbs and their arguments are combined, she explores the consequences of different orders of combination for the kinds of utterances observed across languages.
Download or read book Advances in Mergers and Acquisitions written by Cary L. Cooper and published by Emerald Group Publishing. This book was released on 2012-01-02 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on the studies of the advances in mergers and acquisitions from scholars in different countries, with different research questions, relying on different theoretical perspectives. This title helps scholars think about mergers and acquisitions in different ways.
Download or read book Spatial Data and Intelligence written by Xiaofeng Meng and published by Springer Nature. This book was released on with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Mining written by Mehmed Kantardzic and published by John Wiley & Sons. This book was released on 2019-10-23 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author—a noted expert on the topic—explains the basic concepts, models, and methodologies that have been developed in recent years. This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that: • Explores big data and cloud computing • Examines deep learning • Includes information on convolutional neural networks (CNN) • Offers reinforcement learning • Contains semi-supervised learning and S3VM • Reviews model evaluation for unbalanced data Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.
Download or read book Machine Learning and Intelligent Communications written by Xuemai Gu and published by Springer. This book was released on 2018-01-20 with total page 723 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set constitutes the refereed post-conference proceedings of the Second International Conference on Machine Learning and Intelligent Communications, MLICOM 2017, held in Weihai, China, in August 2017. The 143 revised full papers were carefully selected from 225 submissions. The papers are organized thematically in machine learning, intelligent positioning and navigation, intelligent multimedia processing and security, intelligent wireless mobile network and security, cognitive radio and intelligent networking, intelligent internet of things, intelligent satellite communications and networking, intelligent remote sensing, visual computing and three-dimensional modeling, green communication and intelligent networking, intelligent ad-hoc and sensor networks, intelligent resource allocation in wireless and cloud networks, intelligent signal processing in wireless and optical communications, intelligent radar signal processing, intelligent cooperative communications and networking.
Download or read book Advances in Computing and Data Sciences written by Mayank Singh and published by Springer. This book was released on 2019-07-19 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1045 and CCIS 1046) constitutes the refereed proceedings of the Third International Conference on Advances in Computing and Data Sciences, ICACDS 2019, held in Ghaziabad, India, in April 2019. The 112 full papers were carefully reviewed and selected from 621 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations.
Download or read book Computer Based Design and Manufacturing written by Emad Abouel Nasr and published by Springer Science & Business Media. This book was released on 2007-01-11 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers insights into the methods and techniques required to implement a consumer-focused product design philosophy. It does this by integrating capabilities for intelligent information support and group decision-making utilizing a common enterprise network model and knowledge interface through shared technologies. It includes discussion of applied methods developed in the field of the product design and gives the latest research results.
Download or read book Continuous Delivery in Java written by Daniel Bryant and published by "O'Reilly Media, Inc.". This book was released on 2018-11-09 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuous delivery adds enormous value to the business and the entire software delivery lifecycle, but adopting this practice means mastering new skills typically outside of a developer’s comfort zone. In this practical book, Daniel Bryant and Abraham Marín-Pérez provide guidance to help experienced Java developers master skills such as architectural design, automated quality assurance, and application packaging and deployment on a variety of platforms. Not only will you learn how to create a comprehensive build pipeline for continually delivering effective software, but you’ll also explore how Java application architecture and deployment platforms have affected the way we rapidly and safely deliver new software to production environments. Get advice for beginning or completing your migration to continuous delivery Design architecture to enable the continuous delivery of Java applications Build application artifacts including fat JARs, virtual machine images, and operating system container (Docker) images Use continuous integration tooling like Jenkins, PMD, and find-sec-bugs to automate code quality checks Create a comprehensive build pipeline and design software to separate the deploy and release processes Explore why functional and system quality attribute testing is vital from development to delivery Learn how to effectively build and test applications locally and observe your system while it runs in production
Download or read book ArcGIS Pro 3 x Cookbook written by Tripp Corbin, GISP and published by Packt Publishing Ltd. This book was released on 2024-05-03 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the powerful tools in Esri's ArcGIS Pro to perform geospatial analysis Key Features Harness the power of ArcGIS Pro to build informative maps showcasing your GIS data Analyze geospatial data through proximity, spatial statistics, and hotspot analysis Increase data entry efficiency and quality with advanced geodatabase behavior Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionArcGIS Pro, Esri's newest desktop GIS application, offers powerful tools for visualizing, maintaining, and analyzing data. This cookbook will help existing ArcMap users transition to ArcGIS Pro and teach new users how to utilize its GIS tools effectively. You’ll learn how to create geodatabases, convert data formats, link tables from outside sources, edit 2D and 3D data, ensure data integrity with topology, and enable advanced geodatabase behavior. By the end, you'll be able to effectively use ArcGIS Pro as your primary desktop GIS application, maintaining, analyzing, and displaying data using common methods and tools.What you will learn Navigate the new ArcGIS Pro ribbon interface Create and publish 2D and 3D maps Edit data using standard tools and topology Link data together using joins, relates, and relationship classes Create a new geodatabase and validate data using domains, subtypes, attribute rules, and contingent values Convert data formats and project data to new coordinate systems Perform proximity analysis and map clusters with hotspot analysis Conduct advanced 3D analysis with 3D Analyst extension Who this book is for This book is for GIS professionals, architects, specialists, analysts, and technicians looking to learn how to use ArcGIS Pro and the powerful data editing, analysis, and creation tools it offers. Those who are just getting started with ArcGIS Pro and wish to expand their skills, as well as those who want to migrate to this platform will also find this book helpful. While some basic GIS experience is helpful, it’s not a prerequisite.
Download or read book Temporal Video Segmentation written by Christian Petersohn and published by Jörg Vogt Verlag. This book was released on 2010 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Apache Spark Machine Learning Blueprints written by Alex Liu and published by Packt Publishing Ltd. This book was released on 2016-05-30 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book Customize Apache Spark and R to fit your analytical needs in customer research, fraud detection, risk analytics, and recommendation engine development Develop a set of practical Machine Learning applications that can be implemented in real-life projects A comprehensive, project-based guide to improve and refine your predictive models for practical implementation Who This Book Is For If you are a data scientist, a data analyst, or an R and SPSS user with a good understanding of machine learning concepts, algorithms, and techniques, then this is the book for you. Some basic understanding of Spark and its core elements and application is required. What You Will Learn Set up Apache Spark for machine learning and discover its impressive processing power Combine Spark and R to unlock detailed business insights essential for decision making Build machine learning systems with Spark that can detect fraud and analyze financial risks Build predictive models focusing on customer scoring and service ranking Build a recommendation systems using SPSS on Apache Spark Tackle parallel computing and find out how it can support your machine learning projects Turn open data and communication data into actionable insights by making use of various forms of machine learning In Detail There's a reason why Apache Spark has become one of the most popular tools in Machine Learning – its ability to handle huge datasets at an impressive speed means you can be much more responsive to the data at your disposal. This book shows you Spark at its very best, demonstrating how to connect it with R and unlock maximum value not only from the tool but also from your data. Packed with a range of project "blueprints" that demonstrate some of the most interesting challenges that Spark can help you tackle, you'll find out how to use Spark notebooks and access, clean, and join different datasets before putting your knowledge into practice with some real-world projects, in which you will see how Spark Machine Learning can help you with everything from fraud detection to analyzing customer attrition. You'll also find out how to build a recommendation engine using Spark's parallel computing powers. Style and approach This book offers a step-by-step approach to setting up Apache Spark, and use other analytical tools with it to process Big Data and build machine learning projects.The initial chapters focus more on the theory aspect of machine learning with Spark, while each of the later chapters focuses on building standalone projects using Spark.
Download or read book Data Engineering and Intelligent Computing written by Vikrant Bhateja and published by Springer Nature. This book was released on 2021-05-04 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a collection of high-quality, peer-reviewed papers presented at the Fourth International Conference on Intelligent Computing and Communication (ICICC 2020) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 18–20 September 2020. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.
