A majorization-minimization algorithm for (multiple) hyperparameter learning.
Chuan-Sheng FooChuong B. DoAndrew Y. NgPublished in: ICML (2009)
Keyphrases
- learning algorithm
- dynamic programming
- np hard
- objective function
- learning speed
- optimal solution
- search space
- learning phase
- cost function
- detection algorithm
- expectation maximization
- computational complexity
- preprocessing
- artificial neural networks
- k means
- segmentation algorithm
- reinforcement learning
- particle swarm optimization
- computational cost
- matching algorithm
- neural network
- supervised learning
- similarity measure
- energy function
- significant improvement
- image reconstruction
- recognition algorithm
- learning rules
- learning process
- training data