Probabilistic Topic Models (Record no. 15330)

MARC details
000 -LEADER
fixed length control field 02751nam a2200397Ia 4500
000 - LEADER
fixed length control field 03467nam a22004335i 4500
001 - CONTROL NUMBER
control field 978-981-99-2431-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240319120927.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230608s2023 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819924318
-- 978-981-99-2431-8
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 6.35
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Jiang, Di.
9 (RLIN) 32798
245 ## - TITLE STATEMENT
Title Probabilistic Topic Models
Statement of responsibility, etc. by Di Jiang, Chen Zhang, Yuanfeng Song.
Medium [electronic resource] :
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Singapore
Name of publisher, distributor, etc. Springer Nature Singapore
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent X, 149 p. 1 illus.
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. This book introduces readers to the theoretical foundation and application of topic models. It provides readers with efficient means to learn about the technical principles underlying topic models. More concretely, it covers topics such as fundamental concepts, topic model structures, approximate inference algorithms, and a range of methods used to create high-quality topic models. In addition, this book illustrates the applications of topic models applied in real-world scenarios. Readers will be instructed on the means to select and apply suitable models for specific real-world tasks, providing this book with greater use for the industry. Finally, the book presents a catalog of the most important topic models from the literature over the past decades, which can be referenced and indexed by researchers and engineers in related fields. We hope this book can bridge the gap between academic research and industrial application and help topic models play an increasingly effective role in both academia and industry. This book offers a valuable reference guide for senior undergraduate students, graduate students, and researchers, covering the latest advances in topic models, and for industrial practitioners, sharing state-of-the-art solutions for topic-related applications. The book can also serve as a reference for job seekers preparing for interviews.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithms.
9 (RLIN) 32799
Topical term or geographic name entry element Artificial intelligence
9 (RLIN) 32800
Topical term or geographic name entry element Computational linguistics.
9 (RLIN) 32801
Topical term or geographic name entry element Computational Linguistics.
9 (RLIN) 32802
Topical term or geographic name entry element Computer science.
9 (RLIN) 32803
Topical term or geographic name entry element Data Science.
9 (RLIN) 32804
Topical term or geographic name entry element Design and Analysis of Algorithms.
9 (RLIN) 32805
Topical term or geographic name entry element Machine learning.
9 (RLIN) 32806
Topical term or geographic name entry element Machine Learning.
9 (RLIN) 32807
Topical term or geographic name entry element Natural language processing (Computer science).
9 (RLIN) 32808
Topical term or geographic name entry element Natural Language Processing (NLP).
9 (RLIN) 32809
Topical term or geographic name entry element Theory and Algorithms for Application Domains.
9 (RLIN) 32810
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Song, Yuanfeng.
9 (RLIN) 32811
Personal name Zhang, Chen.
9 (RLIN) 32812
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-99-2431-8">https://doi.org/10.1007/978-981-99-2431-8</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online   Veda Library Solutions Pvt. Ltd., Noida   EB2316 2024-03-19 2024-03-19 e-Book Platform:Springer