Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms.
Robert E. MahonyRobert C. WilliamsonPublished in: J. Mach. Learn. Res. (2001)
Keyphrases
- prior knowledge
- learning algorithm
- training data
- cost function
- latent variables
- machine learning
- objective function
- learning process
- prior information
- domain knowledge
- incorporation of prior knowledge
- data sets
- bayesian network structures
- learning problems
- machine learning algorithms
- upper bound
- active learning
- image segmentation
- image processing
- knowledge base