Improving the ε-approximate algorithm for Probabilistic Classifier Chains.
Miriam Fdez-DíazLaura Fdez-DíazDeiner MenaElena MontañésJosé Ramón QuevedoJuan José del CozPublished in: Knowl. Inf. Syst. (2020)
Keyphrases
- learning algorithm
- optimization algorithm
- convergence rate
- classification algorithm
- detection algorithm
- computational complexity
- probabilistic model
- objective function
- preprocessing
- computational cost
- input data
- worst case
- cost function
- optimal solution
- np hard
- dynamic programming
- experimental evaluation
- data sets
- k means
- search space
- classification rate
- segmentation algorithm
- improved algorithm
- training data
- classification method
- unseen data
- roc curve
- decision trees
- similarity measure
- bayesian networks
- generative model
- expectation maximization
- multi class