Prediction and Analysis for Knowledge Representation and Machine Learning (Paperback, 1)

1. Machine Learning. 2. Design of a knowledge representation and Indexing: Background and Future. 3. Prediction Analysis of Noise Component using Median Based Filters Cascaded With Evolutionary Algorithms. 4. Construction of Deep Representations. 5. Knowledge Representation using Probabilistic model and Reconstruction based algorithms. 6. Multi-Ontology Mapping for Internet of Things (MOMI). 7. Higher Level Abstraction of Deep Architecture. 8. Knowledge Representation and Learning Mechanism Based on Networks of Spiking Neurons. 9. Multiview Representation learning. 10. Covid-19 Applications