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Understanding Job-Skill Relationships Using Big Data and Neural Networks
Understanding Job-Skill Relationships using Big Data and Neural Networks Abhinav Maurya Carnegie Mellon University Pittsburgh, PA – 15213 [email protected] ABSTRACT Our proposed model is inspired by topic modeling where Nonlinear vector space embeddings have shown great promise latent topics occur throughout the documents of a corpus in many applications such as similarity search, analogy map- in varying proportions, which enables their identification to pings, dataset visualization, etc. In this paper, we propose characterize the text corpus. Similarly, in our model, vari- a simple distribution-to-distribution regression model based ation in the co-occurrence of jobs and skills can be used on neural networks which provides (i) job2vec: interpretable to disentangle which skills are associated with which jobs. embeddings of jobs in terms of associated skills, (ii) skill2vec: However, unlike unsupervised topic models such as LDA [1], converse embeddings of skills in terms of the jobs that re- we cast our problem of identifying job-skill associations as quire them, and (iii) SkillRank: a mechanism for ranking a supervised distribution-to-distribution regression, where skills associated with each job that can be recommended the input is the empirical distribution over job titles and to members aspiring for that job. Due to the simplicity of the output is the corresponding empirical distribution over our model, it has no hyperparameters that need tuning ex- skills for that person. Moreover, unlike unsupervised topic cept for the number of stochastic gradient descent iterations models such as LDA and supervised variants such as [4], our which is easily determined using the early stopping criterion. -
Dr. C#: a Pedagogic IDE for C# Featuring a Read-Eval-Print-Loop by Dennis Lu
RICE UNIVERSITY Dr. C#: A Pedagogic IDE for C# Featuring a Read-Eval-Print-Loop by Dennis Lu ATHESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE Master of Science APPROVED,THESIS COMMITTEE: Robert Cartwright, Chair Professor of Computer Science Joe Warren Professor of Computer Science Dan Wallach Assistant Professor of Computer Science Dung X. Nguyen Lecturer, Computer Science Houston, Texas April, 2003 Dr. C#: A Pedagogic IDE for C# Featuring a Read-Eval-Print-Loop Dennis Lu Abstract As the primary programming language of the Microsoft .NET platform, C# will play a significant role in software development for the foreseeable future. As the language rapidly gains popularity in industry, tools made for C# development fo- cus on the professional programmer, while leaving the beginning computer science student behind. To address this problem, we introduce Dr. C#, a simple lightweight develop- ment environment with an integrated, interactive Read-Eval-Print-Loop (REPL). Dr. C# helps flatten the learning curve of both the environment and the language, enabling students to quickly learn key elements of the language and focus more easily on concepts. Dr. C# thus serves not only as a learning tool for beginner students but also as a teaching tool for instructors. The editor is based on an open source IDE called SharpDevelop. This thesis describes the implementation of Dr. C# focusing primarily on building the REPL and integrating with SharpDevelop. Acknowledgments I would like to thank my advisor Professor Robert “Corky” Cartwright for giving me the opportunity and autonomy to develop Dr. C#. I would also like to thank Professor Dung Nguyen for acting as co-advisor and for his years of guidance and support. -
Workforce Management Web
Workforce Management Web 8.5.214.14 9/23/2021 8.5.214.14 8.5.214.14 Workforce Management Web Release Notes Release Date Release Type Restrictions AIX Linux Solaris Windows 05/08/19 General X X Contents • 1 8.5.214.14 • 1.1 Helpful Links • 1.2 What's New • 1.3 Resolved Issues • 1.4 Upgrade Notes • 1.5 Supported Languages Workforce Management Web 2 8.5.214.14 What's New Helpful Links This release includes the following new features and enhancements: Releases Info • WFM Web for Supervisors includes a redesigned Forecast module, • List of 8.5.x Releases enabling access to existing forecasting functionality and features, but with many user-friendly enhancements, wizards, and tools. Web for • 8.5.x Known Issues Supervisors (Classic) Forecast module is still supported and available. Note: The Forecast module is currently available only in English. (WFM-28004) Product Documentation • AI-powered Forecasting is introduced in the redesigned Forecast module, providing a sophisticated, automated build method that uses the best of best forecasting algorithms provided through Genesys Workforce Management hosted cloud infrastructure. For information about how to use this build method, see Building Volumes in the Workforce Management Genesys Products Supervisor Help.(WFM-28004) List of Release Notes • The Workforce Management Supervisor Help is a context-sensitive Help that describes the new Forecast interface, including topics that describe the Forecast Scenario and Master Forecast views, and procedures that describe forecasting tasks. The Workforce Management Supervisors (Classic) Help is still available. (WFM-29230) • The Overlays view in the new WFM Web Forecast interface is enhanced, enabling supervisors to adjust Spread over distribution to 15 or 30 minutes (in addition to 60). -
Making Speech Recognition Work on the Web Christopher J. Varenhorst
Making Speech Recognition Work on the Web by Christopher J. Varenhorst Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Masters of Engineering in Computer Science and Engineering at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY May 2011 c Massachusetts Institute of Technology 2011. All rights reserved. Author.................................................................... Department of Electrical Engineering and Computer Science May 20, 2011 Certified by . James R. Glass Principal Research Scientist Thesis Supervisor Certified by . Scott Cyphers Research Scientist Thesis Supervisor Accepted by . Christopher J. Terman Chairman, Department Committee on Graduate Students Making Speech Recognition Work on the Web by Christopher J. Varenhorst Submitted to the Department of Electrical Engineering and Computer Science on May 20, 2011, in partial fulfillment of the requirements for the degree of Masters of Engineering in Computer Science and Engineering Abstract We present an improved Audio Controller for Web-Accessible Multimodal Interface toolkit { a system that provides a simple way for developers to add speech recognition to web pages. Our improved system offers increased usability and performance for users and greater flexibility for developers. Tests performed showed a %36 increase in recognition response time in the best possible networking conditions. Preliminary tests shows a markedly improved users experience. The new Wowza platform also provides a means of upgrading other Audio Controllers easily. Thesis Supervisor: James R. Glass Title: Principal Research Scientist Thesis Supervisor: Scott Cyphers Title: Research Scientist 2 Contents 1 Introduction and Background 7 1.1 WAMI - Web Accessible Multimodal Toolkit . 8 1.1.1 Existing Java applet . 11 1.2 SALT . -
Devpartner Java Edition Getting Started Guide
DevPartner Java Edition Getting Started Guide Release 4.5 Copyright © 2001–2009 Micro Focus (IP) Ltd. All rights reserved. Micro Focus (IP) Ltd. has made every effort to ensure that this book is correct and accurate, but reserves the right to make changes without notice at its sole discretion at any time. The software described in this document is supplied under a license and may be used or copied only in accordance with the terms of such license, and in particular any warranty of fitness of Micro Focus software products for any particular purpose is expressly excluded and in no event will Micro Focus be liable for any consequential loss. Animator®, COBOLWorkbench®, EnterpriseLink®, Mainframe Express®, Micro Focus®, Net Express®, REQL® and Revolve® are registered trademarks, and AAI™, Analyzer™, Application Quality Workbench™, Application Server™, Application to Application Interface™, AddPack™, AppTrack™, AssetMiner™, BoundsChecker™, CARS™, CCI™, DataConnect™, DevPartner™, DevPartnerDB™, DevPartner Fault Simulator™, DevPartner SecurityChecker™,Dialog System™, Driver:Studio™, Enterprise Server™, Enterprise View™, EuroSmart™, FixPack™, LEVEL II COBOL™, License Server™, Mainframe Access™, Mainframe Manager™, Micro Focus COBOL™, Micro Focus Studio™, Micro Focus Server™, Object COBOL™, OpenESQL™, Optimal Trace™,Personal COBOL™, Professional COBOL™, QACenter™, QADirector™, QALoad™, QARun™, Quality Maturity Model™, Server Express™, SmartFind™, SmartFind Plus™, SmartFix™, SoftICE™, SourceConnect™, SupportLine™, TestPartner™, Toolbox™, TrackRecord™, WebCheck™, WebSync™, and Xilerator™ are trademarks of Micro Focus (IP) Ltd. All other trademarks are the property of their respective owners. No part of this publication, with the exception of the software product user documentation contained on a CD-ROM, may be copied, photocopied, reproduced, transmitted, transcribed, or reduced to any electronic medium or machine-readable form without prior written consent of Micro Focus (IP) Ltd. -
SDL Contenta S1000D and SDL Livecontent S1000D Cross-Product Graphics and Multimedia Support
SDL Contenta S1000D and SDL LiveContent S1000D Cross-Product Graphics and Multimedia Support SDL Contenta S1000D and SDL LiveContent S1000D 5.9 December 2020 Legal notice Copyright and trademark information relating to this product release. Copyright © 2009–2020 SDL Group. SDL Group means SDL PLC. and its subsidiaries and affiliates. All intellectual property rights contained herein are the sole and exclusive rights of SDL Group. All references to SDL or SDL Group shall mean SDL PLC. and its subsidiaries and affiliates details of which can be obtained upon written request. All rights reserved. Unless explicitly stated otherwise, all intellectual property rights including those in copyright in the content of this website and documentation are owned by or controlled for these purposes by SDL Group. Except as otherwise expressly permitted hereunder or in accordance with copyright legislation, the content of this site, and/or the documentation may not be copied, reproduced, republished, downloaded, posted, broadcast or transmitted in any way without the express written permission of SDL. Contenta S1000D is a registered trademark of SDL Group. All other trademarks are the property of their respective owners. The names of other companies and products mentioned herein may be the trade- marks of their respective owners. Unless stated to the contrary, no association with any other company or product is intended or should be inferred. This product may include open source or similar third-party software, details of which can be found by clicking the following link: “Acknowledgments” on page 7. Although SDL Group takes all reasonable measures to provide accurate and comprehensive information about the product, this information is provided as-is and all warranties, conditions or other terms concerning the documentation whether express or implied by statute, common law or otherwise (including those relating to satisfactory quality and fitness for purposes) are excluded to the extent permitted by law. -
Exploiting SAS Software Using Java Technology
Exploiting SAS® Software Using Java™ Technology Barbara Walters, SAS Institute Inc., Cary, NC Java programs are often delivered via the Internet. In order to protect the local machine from malicious programs, the Java language and the JVM Abstract provide a secure environment for application execution. The secure This paper describes how to use Java™ technology with SAS software. environment ensures that the client machine (the machine where the SAS Institute currently offers several Java development tools that allow browser is running) is not corrupted by the downloaded program and that applications to access SAS data and take advantage of SAS no information is stolen from the client machine. computational capabilities. This paper describes how to use these class libraries and address client/server configuration and performance Java security is based upon the “sandbox” model. The sandbox is the issues. set of resources (threads, socket connections, local files, etc.) that the downloaded Java code is allowed to access. The code is restricted from accessing resources outside of its sandbox. In executing Java applets, Introduction each Web browser defines the limits of the sandbox. Since its introduction in mid-1995, Java have become an integral part of The Security Manager enforces the limits of the sandbox. For applets, the World Wide Web. Java is a rich programming language that enables the Web browser controls the Security Manager. Each browser may put Web programmers to create sophisticated and responsive client/server different restrictions on applet behavior. The default limits imposed by applications. Because Java is portable and secure, users of Web the Security Manager are: applications can be confident that those applications will execute • Classes cannot access the local file system properly and not corrupt their computers. -
Applets, Servlets and JSP
Java Programming : applets, servlets and JSP. SR03 Dritan Nace A summary of Java Java is a language developed by Sun, which is designed to be object oriented and Simple, robust and secure, independent of hardware architectures and Multitasking. Object oriented and simple : Simpler than C++, transparent memory managment… Robust et secure : Data typing is extremely strict. For applets, it is in principle impossible to access the resources of the host machine. Independant of hardware architectures : The compiler generates a universal code : the « byte-code ». An interpreter which is specific to the host machine, « virtual machine », executes the programs. Multitasking : Java seemingly allows execution of several processes. In reality, a time slot is given to each process on the processor (Multithreaded). J2SE versus J2EE J2SE (standard edition) contains the basic usable components from both the client and server side, – GUI, AWT/Swing for applications (client) or applets. Currently J2SE v1.6 (ou V6) J2EE (enterprise edition), is in a certain sense an extension of SE, designed for server side programming – Servlets, JSP, EJB, etc. • Currently J2EE v1.4 Java and object oriented programming • Classes, and objects – The objects include data and processing for the data. Communication is done via messages (methods). – A class corresponds to an abstract model for object construction. A class is made up of: • attributes (static part) • Methods (dynamic part), which define the behaviour. – Inheritance : the « is a » relationship : a car is a vehicule, – Polymorphism : the same message can be recognised by several objects and entail different behaviour. Portability: JVM The compiler compiles the java source in byte code : javac car.java => car.class Then, java is the name of the program which will interpret the generated byte code. -
Javaedge Setup and Installation
APPENDIX A ■ ■ ■ JavaEdge Setup and Installation Throughout the book, we have used the example application, JavaEdge, to provide a practical demonstration of all the features discussed. In this appendix, we will walk you through setting up the tools and applications required to build and run JavaEdge, as well as take you through the steps needed to get the JavaEdge application running on your platform. Environment Setup Before you can get started with the JavaEdge application, you need to configure your platform to be able to build and run JavaEdge. Specifically, you need to configure Apache Ant in order to build the JavaEdge application and package it up for deployment. In addition, the JavaEdge application is designed to run on a J2EE application server and to use MySQL as the back-end database. You also need to have a current JDK installed; the JavaEdge application relies on JVM version 1.5 or higher, so make sure your JDK is compatible. We haven’t included instruc- tions for this here, since we are certain that you will already have a JDK installed if you are reading this book. However, if you do need to download one, you can find it at http://java. sun.com/j2se/1.5.0/download.jsp. Installing MySQL The JavaEdge application uses MySQL as the data store for all user, story, and comment data. If you don’t already have the MySQL database server, then you need to obtain the version applicable to your platform. You can obtain the latest production binary release of MySQL for your platform at http://www.mysql.com. -
Appwave Studio User Guide
Product Documentation Embarcadero® AppWave™ Studio User Guide Version 3.0 Published November, 2011 © 2011 Embarcadero Technologies, Inc. Embarcadero, the Embarcadero Technologies logos, and all other Embarcadero Technologies product or service names are trademarks or registered trademarks of Embarcadero Technologies, Inc. All other trademarks are property of their respective owners. Embarcadero Technologies, Inc. is a leading provider of award-winning tools for application developers and database professionals so they can design systems right, build them faster and run them better, regardless of their platform or programming language. Ninety of the Fortune 100 and an active community of more than three million users worldwide rely on Embarcadero products to increase productivity, reduce costs, simplify change management and compliance and accelerate innovation. The company's flagship tools include: Embarcadero® Change Manager™, RAD Studio, DBArtisan®, Delphi®, ER/Studio®, JBuilder® and Rapid SQL®. Founded in 1993, Embarcadero is headquartered in San Francisco, with offices located around the world. Embarcadero is online at www.embarcadero.com. November, 2011 Contents Welcome to Embarcadero AppWave Studio . 7 AppWave Studio Users . .7 Technical Requirements . .9 Mastering Apps . .9 Benefits of Using Apps. .11 Private vs. Public AppWave . .11 Using AppWave Studio . 13 Studio Access . .13 Best Mastering Practices . .14 Create an App with One Click. .15 Licensing . 16 Preparation . 16 Setup . 17 Recording . 20 Running the App. 28 Create AppWave Supported or Custom App from Install . .30 Start . 31 Launch & Brand. 33 App . 35 Test . 41 Broadcast. 43 Actions taken in Each Step . 47 Install Using a Zip File. 49 Create AppWave Supported or Custom App from Scratch . .52 Start . -
CDC: Java Platform Technology for Connected Devices
CDC: JAVA™ PLATFORM TECHNOLOGY FOR CONNECTED DEVICES Java™ Platform, Micro Edition White Paper June 2005 2 Table of Contents Sun Microsystems, Inc. Table of Contents Introduction . 3 Enterprise Mobility . 4 Connected Devices in Transition . 5 Connected Devices Today . 5 What Users Want . 5 What Developers Want . 6 What Service Providers Want . 6 What Enterprises Want . 6 Java Technology Leads the Way . 7 From Java Specification Requests… . 7 …to Reference Implementations . 8 …to Technology Compatibility Kits . 8 Java Platform, Micro Edition Technologies . 9 Configurations . 9 CDC . 10 CLDC . 10 Profiles . 11 Optional Packages . 11 A CDC Java Runtime Environment . 12 CDC Technical Overview . 13 CDC Class Library . 13 CDC HotSpot™ Implementation . 13 CDC API Overview . 13 Application Models . 15 Standalone Applications . 16 Managed Applications: Applets . 16 Managed Applications: Xlets . 17 CLDC Compatibility . 18 GUI Options and Tradeoffs . 19 AWT . 19 Lightweight Components . 20 Alternate GUI Interfaces . 20 AGUI Optional Package . 20 Security . 21 Developer Tool Support . 22 3 Introduction Sun Microsystems, Inc. Chapter 1 Introduction From a developer’s perspective, the APIs for desktop PCs and enterprise systems have been a daunting combination of complexity and confusion. Over the last 10 years, Java™ technology has helped simplify and tame this world for the benefit of everyone. Developers have benefited by seeing their skills become applicable to more systems. Users have benefited from consistent interfaces across different platforms. And systems vendors have benefited by reducing and focusing their R&D investments while attracting more developers. For desktop and enterprise systems, “Write Once, Run Anywhere”™ has been a success. But if the complexities of the desktop and enterprise world seem, well, complex, then the connected device world is even scarier. -
GNAT User's Guide
GNAT User's Guide GNAT, The GNU Ada Compiler For gcc version 4.7.4 (GCC) AdaCore Copyright c 1995-2009 Free Software Foundation, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, with no Front-Cover Texts and with no Back-Cover Texts. A copy of the license is included in the section entitled \GNU Free Documentation License". About This Guide 1 About This Guide This guide describes the use of GNAT, a compiler and software development toolset for the full Ada programming language. It documents the features of the compiler and tools, and explains how to use them to build Ada applications. GNAT implements Ada 95 and Ada 2005, and it may also be invoked in Ada 83 compat- ibility mode. By default, GNAT assumes Ada 2005, but you can override with a compiler switch (see Section 3.2.9 [Compiling Different Versions of Ada], page 78) to explicitly specify the language version. Throughout this manual, references to \Ada" without a year suffix apply to both the Ada 95 and Ada 2005 versions of the language. What This Guide Contains This guide contains the following chapters: • Chapter 1 [Getting Started with GNAT], page 5, describes how to get started compiling and running Ada programs with the GNAT Ada programming environment. • Chapter 2 [The GNAT Compilation Model], page 13, describes the compilation model used by GNAT. • Chapter 3 [Compiling Using gcc], page 41, describes how to compile Ada programs with gcc, the Ada compiler.