Learning Logic 5 0

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Learning Logic 5. 0

Learning Logic 5. 0 Book
  • Author : Patrick J. Hurley,Demarco
  • Publisher : Wadsworth Publishing Company
  • Release : 2007-10-12
  • ISBN : 9780495505594
  • Language : En, Es, Fr & De

Book Description :

Learning Logic interactive tutorials provide students with additional review and practice with examples and exercises not found in the text. The program contains more than 11,000 sound files along with hundreds of engaging animations and cartoons that present the central concepts of logic. Thousands of interactive practice problems give audio and visual feedback for both correct and incorrect answers. Learning Logic is now included in CengageNOW for Hurley's A CONCISE INTRODUCTION TO LOGIC, Tenth Edition. However, instructors who prefer the content on CD may still bundle the CD-ROM with the text, at no additional cost, or direct their students to purchase the CD as a stand-alone item.

Inductive Logic Programming

Inductive Logic Programming Book
  • Author : Stefan Kramer,Bernhard Pfahringer
  • Publisher : Springer
  • Release : 2005-08-29
  • ISBN : 3540318518
  • Language : En, Es, Fr & De

Book Description :

1 “Change is inevitable.” Embracing this quote we have tried to carefully exp- iment with the format of this conference, the 15th International Conference on Inductive Logic Programming, hopefully making it even better than it already was. But it will be up to you, the inquisitive reader of this book, to judge our success. The major changes comprised broadening the scope of the conference to include more diverse forms of non-propositional learning, to once again have tutorials on exciting new areas, and, for the ?rst time, to also have a discovery challenge as a platform for collaborative work. This year the conference was co-located with ICML 2005, the 22nd Inter- tional Conference on Machine Learning, and also in close proximity to IJCAI 2005, the 19th International Joint Conference on Arti?cial Intelligence. - location can be tricky, but we greatly bene?ted from the local support provided by Codrina Lauth, Michael May, and others. We were also able to invite all ILP and ICML participants to shared events including a poster session, an invited talk, and a tutorial about the exciting new area of “statistical relational lea- ing”. Two more invited talks were exclusively given to ILP participants and were presented as a kind of stock-taking—?ttingly so for the 15th event in a series—but also tried to provide a recipe for future endeavours.

Learning Language in Logic

Learning Language in Logic Book
  • Author : James Cussens,Saso Dzeroski
  • Publisher : Springer
  • Release : 2003-07-31
  • ISBN : 3540400303
  • Language : En, Es, Fr & De

Book Description :

This volume has its origins in the ?rst Learning Language in Logic (LLL) wo- shop which took place on 30 June 1999 in Bled, Slovenia immediately after the Ninth International Workshop on Inductive Logic Programming (ILP’99) and the Sixteenth International Conference on Machine Learning (ICML’99). LLL is a research area lying at the intersection of computational linguistics, machine learning, and computational logic. As such it is of interest to all those working in these three ?elds. I am pleased to say that the workshop attracted subm- sions from both the natural language processing (NLP) community and the ILP community, re?ecting the essentially multi-disciplinary nature of LLL. Eric Brill and Ray Mooney were invited speakers at the workshop and their contributions to this volume re?ect the topics of their stimulating invited talks. After the workshop authors were given the opportunity to improve their papers, the results of which are contained here. However, this volume also includes a substantial amount of two sorts of additional material. Firstly, since our central aim is to introduce LLL work to the widest possible audience, two introductory chapters have been written. Dzeroski, ? Cussens and Manandhar provide an - troduction to ILP and LLL and Thompson provides an introduction to NLP.

Logic for Learning

Logic for Learning Book
  • Author : John W. Lloyd
  • Publisher : Springer Science & Business Media
  • Release : 2003-08-06
  • ISBN : 9783540420279
  • Language : En, Es, Fr & De

Book Description :

This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.

Understanding Circuits

Understanding Circuits Book
  • Author : Khalid Sayood
  • Publisher : Morgan & Claypool Publishers
  • Release : 2005
  • ISBN : 1598290029
  • Language : En, Es, Fr & De

Book Description :

This book/lecture is intended for a college freshman level class in problem solving, where the particular problems deal with electrical and electronic circuits. It can also be used in a junior/senior level class in high school to teach circuit analysis. The basic problem-solving paradigm used in this book is that of resolution of a problem into its component parts. The reader learns how to take circuits of varying levels of complexity using this paradigm. The problem-solving exercises also familiarize the reader with a number of different circuit components including resistors, capacitors, diodes, transistors, and operational amplifiers and their use in practical circuits. The reader should come away with both an understanding of how to approach complex problems and a feel for electrical and electronic circuits."

Learning R

Learning R Book
  • Author : Richard Cotton
  • Publisher : "O'Reilly Media, Inc."
  • Release : 2013-09-09
  • ISBN : 1449357180
  • Language : En, Es, Fr & De

Book Description :

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you’ve learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code