Introduction to Information Retrieval

Introduction to Information Retrieval
Author: Christopher D. Manning
Publisher: Cambridge University Press
Total Pages:
Release: 2008-07-07
Genre: Computers
ISBN: 1139472100

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.

Machine Learning and Statistical Modeling Approaches to Image Retrieval

Machine Learning and Statistical Modeling Approaches to Image Retrieval
Author: Yixin Chen
Publisher: Springer Science & Business Media
Total Pages: 194
Release: 2004-05-27
Genre: Technology & Engineering
ISBN: 1402080344

In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.

Integration of Information Extraction with Machine Learning Techniques for Text Mining

Integration of Information Extraction with Machine Learning Techniques for Text Mining
Author: A. Christy
Publisher: Vandana Publications
Total Pages: 65
Release:
Genre: Computers
ISBN: 9390728460

Text Mining is a convergent field of Data Mining which deals with extracting relevant and useful part of the information from unstructured text documents and storing them in the structured form. The research work on Information Extraction started in 1979, by a Ph.D thesis submitted at Yale University. But, Information Extraction has got its focus only in 1990s by a series of Message Understanding Conferences conducted by US defense group, DARPA. Information Extraction is preferred by researchers because of its ability to extract specific part of the information with its timely delivery to decision makers and end-users. Information Extraction focusses on extracting the entities and facts from technical websites. The technical web pages often exist in the semi-structured form, in which each and every part of the content is stored as a block of information. Existing Supervised and Unsupervised learning algorithms are reviewed and new algorithms are proposed and implemented for extracting facts and entities from technical websites.

An Introduction to Neural Information Retrieval

An Introduction to Neural Information Retrieval
Author: Bhaskar Mitra
Publisher: Foundations and Trends (R) in Information Retrieval
Total Pages: 142
Release: 2018-12-23
Genre:
ISBN: 9781680835328

Efficient Query Processing for Scalable Web Search will be a valuable reference for researchers and developers working on This tutorial provides an accessible, yet comprehensive, overview of the state-of-the-art of Neural Information Retrieval.

Critical Approaches to Information Retrieval Research

Critical Approaches to Information Retrieval Research
Author: Sarfraz, Muhammad
Publisher: IGI Global
Total Pages: 374
Release: 2019-08-30
Genre: Computers
ISBN: 1799810232

Information retrieval (IR) is considered to be the science of searching for information from a variety of information sources related to texts, images, sounds, or multimedia. With the rise of the internet and digital databases, updated information retrieval methodologies are essential to ensure the continued facilitation and enhancement of information exchange. Critical Approaches to Information Retrieval Research is a critical scholarly publication that provides multidisciplinary examinations of theoretical innovations and methods in information retrieval technologies including search and storage applications for data, text, image, sound, document, and video retrieval. Featuring a wide range of topics including data mining, machine learning, and ontology, this book is ideal for librarians, software engineers, data scientists, professionals, researchers, information engineers, scientists, practitioners, and academicians working in the fields of computer science, information technology, information and communication sciences, education, health, library, and more.

Information Retrieval: Uncertainty and Logics

Information Retrieval: Uncertainty and Logics
Author: Fabio Crestani
Publisher: Springer Science & Business Media
Total Pages: 362
Release: 1998-10-31
Genre: Computers
ISBN: 9780792383024

A collection of papers proposing, developing, and implementing logical IR models. After an introductory chapter on non-classical logic as the appropriate formalism with which to build IR models, papers are divided into groups on three approaches: logical models, uncertainty models, and meta-models. Topics include preferential models of query by navigation, a logic for multimedia information retrieval, logical imaging and probabilistic information retrieval, and an axiomatic aboutness theory for information retrieval. Can be used as a text for a graduate course on information retrieval or database systems, and as a reference for researchers and practitioners in industry. Annotation copyrighted by Book News, Inc., Portland, OR

Information Retrieval

Information Retrieval
Author: United States. National Archives and Records Service. Office of Records Management
Publisher:
Total Pages: 140
Release: 1972
Genre: Information storage and retrieval systems
ISBN:

Recent Advances in Parallel Virtual Machine and Message Passing Interface

Recent Advances in Parallel Virtual Machine and Message Passing Interface
Author: Jack Dongarra
Publisher: Springer Science & Business Media
Total Pages: 513
Release: 1999-09-15
Genre: Computers
ISBN: 3540665498

This book constitutes the refereed proceedings of the 6th European Meeting of the Parallel Virtual Machine and Message Passing Interface Users' Group, PVM/MPI '99, held in Barcelona, Spain in September 1999. The 67 revised papers presented were carefully reviewed and selected from a large number of submissions. All current issues of PVM and MPI are addressed. The papers are organized in topical sections on evaluation and performance, extensions and improvements, implementation issues, tools, algorithms, applications in science and engineering, networking, and heterogeneous distributed systems.

AFOSR.

AFOSR.
Author: United States. Air Force. Office of Scientific Research
Publisher:
Total Pages: 940
Release: 1960
Genre: Research
ISBN: