Prediction and Analysis for Knowledge Representation and Machine Learning
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Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, T Ganesh; Kumar, K Sampath; Kumar, Avadhesh; Sagar, Shrddha
Taylor & Francis Ltd
10/2024
220
Mole
9780367649111
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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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
BFO Algorithm;Deep Learning Algorithm;Sparse CCA;Machine Learning Models;Unsupervised Feature Learning;ABC Optimization;Blockchain Technology;Big Data Analytics;Softmax Classifier;RBM;Discriminative Tasks;Weak Learners;Deep Belief Networks;Boltzmann Machines;Gradient Boosting;ABC Algorithm;MTL;Hidden Neurons;UGMs;SNN;Adaptive Boosting;Multitask Learning;STDP;Deep Learning;Ensemble Model
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
BFO Algorithm;Deep Learning Algorithm;Sparse CCA;Machine Learning Models;Unsupervised Feature Learning;ABC Optimization;Blockchain Technology;Big Data Analytics;Softmax Classifier;RBM;Discriminative Tasks;Weak Learners;Deep Belief Networks;Boltzmann Machines;Gradient Boosting;ABC Algorithm;MTL;Hidden Neurons;UGMs;SNN;Adaptive Boosting;Multitask Learning;STDP;Deep Learning;Ensemble Model
