Machine learning paradigms : theory and application /: theory and application. ([2019])
- Record Type:
- Book
- Title:
- Machine learning paradigms : theory and application /: theory and application. ([2019])
- Main Title:
- Machine learning paradigms : theory and application
- Further Information:
- Note: Aboul Ella Hassanien, editor.
- Editors:
- Hassanien, Aboul Ella
- Contents:
- Part I: Machine Learning in Feature Selection.- Hybrid Feature Selection Method Based On The Genetic Algorithm And Pearson Correlation Coefficient.- Weighting Attributes and Decision Rules through Rankings and Discretisation Parameters.- Greedy Selection of Attributes to be Discretised.- Part II: Machine Learning in Classification and Ontology.- Machine learning for Enhancement Land Cover and Crop Types Classification.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 006.3/1
Machine learning - Languages:
- English
- ISBNs:
- 9783030023577
3030023575 - Related ISBNs:
- 3030023567
9783030023560 - Notes:
- Note: Description based on online resource; title from digital title page (viewed on February 06, 2019).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.380819
- Ingest File:
- 02_368.xml