Symmetry Breaking and Training from Incomplete Data with Radial Basis Boltzmann Machines.
Marcel J. NijmanHilbert J. KappenPublished in: Int. J. Neural Syst. (1997)
Keyphrases
- incomplete data
- radial basis
- symmetry breaking
- boltzmann machines
- missing values
- missing data
- em algorithm
- constraint programming
- bayesian networks
- neural network
- training set
- radial basis function
- constraint satisfaction problems
- support vector machine
- global constraints
- approximate inference
- supervised learning
- back propagation
- training data
- data sets
- expectation maximization
- constraint satisfaction
- lower bound
- computer vision
- data mining