The Third Manifesto ([2]) and Tutorial D. CONTENTS

نویسندگان

  • Hugh Darwen
  • Erwin Smout
چکیده

(please see Note to Reviewers on page 2) Reviewers are expected to be familiar with the relational model of data and preferably with The Third Manifesto ([2]) and Tutorial D.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Relational Model : a Tutorial

This is an informal description of E.F. Codd’s model [2] that was originally drafted as part my contribution to a special edition of the IEEE Annals of the History of Computing devoted to the history of relational model. It turned out to be too long and its level of detail was not thought to be suited to my article, which was to serve as the introductory article to that edition. The terminology...

متن کامل

Development and Usability Evaluation of an Online Tutorial for “How to Write a Proposal” for Medical Sciences Students

Background and Objective: Considering the importance of learning how to write a proposal for students, this study was performed to develop an online tutorial for “How to write a Proposal” for students and to evaluate its usability. Methods: This study is a developmental research and tool design. “Gamified Online Tutorial based on Self-Determination Theory (GOT-STD) Framework" became the basis f...

متن کامل

Elicitation, Recast, and Meta-Linguistic Feedback in Form-Focused Exchanges: Effects of Feedback Modality on Multimedia Grammar Instruction

This research explores the effects of three computer-mediated feedback modalities, that is, elicitation, recast, and meta-linguistics, on the learning of English participial, gerund, and infinitival phrases among Iranian intermediate-level EFL learners. The overriding focus of the present study was to investigate whether different types of feedback given through form-focused computer-human exch...

متن کامل

Machine Learning for Computer Graphics: A Manifesto and Tutorial

I argue that computer graphics can benefit from a deeper use of machine learning techniques. I give an overview of what learning has to offer the graphics community, with an emphasis on Bayesian techniques. I also attempt to address some misconceptions about learning, and to give a very brief tutorial on Bayesian reasoning.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008