Merging Features
Merging Features

Author: José M. Brucart

Publisher: OUP Oxford

Published: 2009-01-29

Total Pages: 390

ISBN-13: 0191564699

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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.

When Arguments Merge
When Arguments Merge

Author: Elise Newman

Publisher: MIT Press

Published: 2024-10-15

Total Pages: 231

ISBN-13: 0262549107

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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.

Machine Learning and Intelligent Communications
Machine Learning and Intelligent Communications

Author: Xuemai Gu

Publisher: Springer

Published: 2018-01-20

Total Pages: 723

ISBN-13: 3319735640

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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.

Advances in Computing and Data Sciences
Advances in Computing and Data Sciences

Author: Mayank Singh

Publisher: Springer

Published: 2019-07-19

Total Pages: 532

ISBN-13: 9811399395

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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.

Computer Based Design and Manufacturing
Computer Based Design and Manufacturing

Author: Emad Abouel Nasr

Publisher: Springer Science & Business Media

Published: 2007-01-11

Total Pages: 359

ISBN-13: 0387233245

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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.

Continuous Delivery in Java
Continuous Delivery in Java

Author: Daniel Bryant

Publisher: "O'Reilly Media, Inc."

Published: 2018-11-09

Total Pages: 477

ISBN-13: 1491985976

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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

Advances in Visual Computing
Advances in Visual Computing

Author: George Bebis

Publisher: Springer Science & Business Media

Published: 2009-11-17

Total Pages: 1238

ISBN-13: 364210519X

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The two volume set LNCS 5875 and LNCS 5876 constitutes the refereed proceedings of the 5th International Symposium on Visual Computing, ISVC 2009, held in Las Vegas, NV, USA, in November/December 2009. The 97 revised full papers and 63 poster papers presented together with 40 full and 15 poster papers of 7 special tracks were carefully reviewed and selected from more than 320 submissions. The papers are organized in topical sections on computer graphics; visualization; feature extraction and matching; medical imaging; motion; virtual reality; face processing; reconstruction; detection and tracking; applications; and video analysis and event recognition. The 7 additional special tracks address issues such as object recognition; visual computing for robotics; computational bioimaging; 3D mapping, modeling and surface reconstruction; deformable models: theory and applications; visualization enhanced data analysis for health applications; and optimization for vision, graphics and medical imaging: theory and applications.

ArcGIS Pro 3.x Cookbook
ArcGIS Pro 3.x Cookbook

Author: Tripp Corbin, GISP

Publisher: Packt Publishing Ltd

Published: 2024-05-03

Total Pages: 564

ISBN-13: 1837639000

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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.

Apache Spark Machine Learning Blueprints
Apache Spark Machine Learning Blueprints

Author: Alex Liu

Publisher: Packt Publishing Ltd

Published: 2016-05-30

Total Pages: 252

ISBN-13: 1785887785

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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.