Machine Learning-Based Power Loading for Massive Parallel Gaussian Channels.
Min Jeong KangJung Hoon LeePublished in: ICAIIC (2022)
Keyphrases
- machine learning
- data analysis
- machine learning methods
- machine learning algorithms
- power consumption
- explanation based learning
- learning systems
- maximum likelihood
- inductive learning
- computer science
- parallel computing
- reinforcement learning
- knowledge representation
- knowledge acquisition
- computer vision
- computational intelligence
- learning algorithm
- inductive logic programming
- parallel processing
- text classification
- machine learning approaches
- parallel implementation
- massively parallel
- text mining
- computer architecture
- natural language
- pattern recognition
- artificial intelligence
- power allocation
- parallel programming
- communication channels
- data sets
- shared memory
- multi channel
- gaussian distribution
- gaussian mixture model
- semi supervised learning
- information extraction
- feature space
- neural network