Moore's Federal Practice

Moore's Federal Practice

Author: James William Moore

Publisher:

Published: 2016

Total Pages:

ISBN-13: 9781522108948

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Moore's Federal Practice is the backbone of any federal litigator's library. Comprehensive and authoritative, Moore's is written by the judges, lawyers, and professors who write and amend the Federal Rules, and is LexisNexis Matthew Bender's flagship treatise on federal civil, criminal, appellate, and admiralty procedure.The first edition of this venerable work was written by the late Professor James William Moore, one of the original drafters of the Federal Rules of Civil Procedure, in 1938. From its initialpublication, Moore's instantly became, and remains today, the standard reference work on federal court procedure and has been cited thousands of times in federal court decisions.This latest edition represents a complete overhaul of the classic work, authored by over 50 distinguished federal judges, law professors, and practitioners, including many who, like Professor Moore, have been directly involved in the federal rulemaking process. Moore's 32 volumes include the full text of the federal rules along with extensive commentary and analysis of the rules and cases interpreting the rules.This edition of the publication incorporates analysis of the latest case law developments and rule amendments that have become effective in the past year.The softbound edition of Moore's Federal Practice is replaced annually. This edition offers the contents of Moore's Federal Practice in a portable and space-saving format with no page filing required.


Introduction to Information Retrieval

Introduction to Information Retrieval

Author: Christopher D. Manning

Publisher: Cambridge University Press

Published: 2008-07-07

Total Pages:

ISBN-13: 1139472100

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Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.