Prediction and Analysis for Knowledge Representation and Machine Learning
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Published By Chapman And Hall/CRC

9781003126898
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Prediction Analysis of Noise Component Using Median-Based Filters Cascaded with Evolutionary Algorithms

2022 ◽  
pp. 55-79
Author(s):  
A. Ramya ◽  
Sudha Rajesh ◽  
G. Karthick ◽  
Sudha Rajesh ◽  
G. Karthick
Keyword(s):  
Evolutionary Algorithms ◽  
Noise Component ◽  
Prediction Analysis

Multi-Ontology Mapping for Internet of Things (MOMI)

2022 ◽  
pp. 125-141
Author(s):  
Varun M. Tayur ◽  
R. Suchithra
Keyword(s):  
Internet Of Things ◽  
Ontology Mapping

Construction of Deep Representations

2022 ◽  
pp. 81-109
Author(s):  
Anitha Julian ◽  
R. Ramyadevi

Multi-View Representation Learning

2022 ◽  
pp. 175-198
Author(s):  
G. Muthu Lakshmi ◽  
N. Krishnammal
Keyword(s):  
Representation Learning

COVID-19 Applications

2022 ◽  
pp. 199-216
Author(s):  
R. Manimala ◽  
G. Muthulakshmi

Design of a Knowledge Representation and Indexing: Background and Future

2022 ◽  
pp. 33-54
Author(s):  
N. Thillaiarasu ◽  
N. Partheeban ◽  
Srinivasan Sriramulu
Keyword(s):  
Knowledge Representation

Knowledge Representation Using Probabilistic Model and Reconstruction-Based Algorithms

2022 ◽  
pp. 111-123
Author(s):  
Shruti Dambhare ◽  
Sanjay Kumar ◽  
Sandhya Katiyar
Keyword(s):  
Knowledge Representation ◽  
Probabilistic Model

Machine Learning

2022 ◽  
pp. 1-31
Author(s):  
S. Sowmyayani
Keyword(s):  
Machine Learning

Higher Level Abstraction of Deep Architecture

2022 ◽  
pp. 143-161
Author(s):  
C. Ramesh Kumar
Keyword(s):  
Deep Architecture
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