An EP algorithm for learning highly interpretable classifiers.
Alberto CanoAmelia ZafraSebastián VenturaPublished in: ISDA (2011)
Keyphrases
- learning algorithm
- imbalanced data sets
- classification algorithm
- computational complexity
- preprocessing
- detection algorithm
- expectation maximization
- incremental learning
- supervised learning
- cost function
- active learning
- search space
- np hard
- dynamic programming
- probabilistic model
- k means
- particle swarm optimization
- machine learning algorithms
- nearest neighbor algorithm
- optimal solution
- extracted features
- neural network
- convergence rate
- learning tasks
- image segmentation
- simulated annealing
- lower bound