Prediction and analysis for knowledge representation and machine learning / edited by Avadhesh Kumar, Galgotias University, Greater Noida, Uttar Pradesh, Shrddha Sagar, Galgotias University, Greater Noida , Uttar Pradesh, T. Ganesh Kumar, Galgotias University, Greater Noida, Uttar Pradesh, K. Sampath Kumar, Galgotias University, Greater Noida, Uttar Pradesh.
| Other author | Kumar, Avadhesh (Professor of computer science) |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : Chapman & Hall /CRC, 2022. |
| Description | 1 online resource |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Abstract | "One of the domains of artificial intelligence is knowledge-representation that focuses on the designing of the computer representation which acquires information across the world for solving complex problems. This book illustrates different techniques and structures that are used in knowledge representation and machine learning. Addresses the representational adequacy for the representation of required knowledge Manipulates inferential adequacy for the representation of knowledge for developing new knowledge inferred from original knowledge Acquiring inferential and acquisition efficiency by acquiring new knowledge using automatic methods Based on the latest technology covering major challenges, issues, and advances Covers concepts for developing latest applications using embedded machine learning techniques The aim of this book is to draw the attention of graduates, researchers and practitioners working in field of information technology and computer science (in knowledge representation in machine learning) towards the basic and advance concepts"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version: Prediction and analysis for knowledge representation and machine learning First edition. Boca Raton : Chapman & Hall /CRC, 2022 9780367649104 |
| Genre/form | Electronic books. |
| LCCN | 2021031746 |
| ISBN | 9781000484229 (epub) |
| ISBN | 9781003126898 (ebook) |
| ISBN | (hardback) |
| ISBN | (paperback) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |