Learning Resource and Development

Bayesian reasoning and Gaussian processes for machine learning applications / (Record no. 29210)

MARC details
000 -LEADER
fixed length control field 03976cam a22004458i 4500
001 - CONTROL NUMBER
control field 22390500
003 - CONTROL NUMBER IDENTIFIER
control field CSPC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250320110046.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220108s2022 flu b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2021052540
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367758479
Qualifying information (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency LBSOR/DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
Modifying agency CSPC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA279.5
Item number .B43 2022
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3101519542
Item number B341
Edition number 23/eng/20220128
245 00 - TITLE STATEMENT
Title Bayesian reasoning and Gaussian processes for machine learning applications /
Statement of responsibility, etc. edited by Hemachandran K., [and 4 others].
250 ## - EDITION STATEMENT
Edition statement First edition.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2204
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boca Raton, FL ;
-- Abingdon, Oxon :
Name of producer, publisher, distributor, manufacturer Chapman & Hall/CRC Press,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 133 pages ;
Dimensions 26 cm.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to naive Bayes and a review on its subtypes with applications / Eguturi Manjith Kumar Reddy, Akash Gurrala, Vasireddy Bindu Hasitha, Korupalli V. Rajesh Kumar -- A review on different regression analysis in supervised learning / K. Sudhaman, Mahesh Akuthota and Sandip Kumar Chaurasiya -- Methods to predict the performance analysis of various machine learning algorithms / M. Saritha, M. Lavanya and M. Narendra Reddy -- A viewpoint on belief networks and their applications / G.S. Sivakumar, P. Suneetha, V. Sailaja and Pokala Pranay Kumar -- Reinforcement learning using Bayesian algorithms with applications / H. Raghupathi, G. Ravi and Rajan Maduri -- Alerting system for gas leakage in pipeline / Nilesh Deotale, Pragya Chandra, Prathamesh Dherange, Pratiksha Repaswal, Saibaba V. More -- New non-parametric models for biological networks / Deniz Seçilmiş, Melih Ağraz, Vilda Purutçuoğlu -- Generating various types of graphical models via MARS / Ezgi Ayyıldız and Vilda Purutçuoğlu -- Financial applications of Gaussian processes and Bayesian optimization / Syed Hasan Jafar -- Bayesian network inference on diabetes risk prediction data / Mustafa Özgür Cingiz.
520 ## - SUMMARY, ETC.
Summary, etc. "The book Bayesian Reasoning and Gaussian Processes for Machine Learning Applications talks about Bayesian Reasoning and Gaussian Processes in machine learning applications. Bayesian methods are applied in many areas such as game development, decision making and drug discovery. It is very effective for machine learning algorithms for handling missing data and for extracting information from small datasets. This book introduces a statistical background which is needed to understand continuous distributions and it gives an understanding on how learning can be viewed from a probabilistic framework. The chapters of the book progress into machine learning topics such as Belief Network, Bayesian Reinforcement Learning etc., which is followed by Gaussian Process Introduction, Classification, Regression, Covariance and Performance Analysis of GP with other models. This book is aimed primarily at graduates, researchers and professionals in the field of data science and machine learning"--
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bayesian statistical decision theory
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Gaussian processes
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name K., Hemachandran,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tayal, Shubham,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name George, Preetha Mary,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Singla, Parveen,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kose, Utku,
Dates associated with a name 1985-
Relator term editor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Online version:
Title Bayesian reasoning and Gaussian processes for machine learning applications.
Edition First edition
Place, publisher, and date of publication Boca Raton : Chapman & Hall/CRC Press, 2022
International Standard Book Number 9781003164265
Record control number (DLC) 2021052541
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Edition 23
Classification part 006.3101519542
Item part B341
Call number prefix CIR
Call number suffix 2022
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main Library Main Library Circulation Section 03/20/2025   CIR 006.3101519542 B341 2022 029288 03/20/2025 1-1 03/20/2025 Books