Probability Density Rank-Based Quantization for Convex Universal Learning Machines.
Zhengda QinBadong ChenYuantao GuNanning ZhengJosé C. PríncipePublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- probability density
- learning machines
- density estimation
- support vector
- gaussian mixture model
- ensemble learning
- random variables
- probability density function
- learning algorithm
- model selection
- probability distribution
- maximum likelihood estimation
- support vector machine
- gaussian mixture
- learning tasks
- density function
- vc dimension
- generalization error
- pattern recognition
- sample complexity
- training algorithm
- learning problems
- supervised learning
- multi task learning
- feature extraction
- data mining
- cross validation
- semi supervised learning
- image processing
- graphical models
- maximum likelihood