A learning vector quantization algorithm for probabilistic models.
Jaakko HollménVolker TrespOlli SimulaPublished in: EUSIPCO (2000)
Keyphrases
- probabilistic model
- learning vector quantization
- expectation maximization
- learning algorithm
- theoretical analysis
- experimental evaluation
- times faster
- optimization algorithm
- matching algorithm
- computational cost
- significant improvement
- cost function
- np hard
- tree structure
- dynamic programming
- improved algorithm
- active learning
- pairwise
- high accuracy
- detection algorithm
- computational complexity
- input data
- unsupervised learning
- bankruptcy prediction
- conditional random fields
- clustering method
- neural network
- generative model
- linear programming
- simulated annealing
- worst case
- semi supervised
- evolutionary algorithm
- search space
- optimal solution
- bayesian networks
- similarity measure
- computer vision