Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data.
Baptiste BauvinCécile CapponiFlorence ClercPascal GermainSokol KoçoJacques CorbeilPublished in: UAI (2023)
Keyphrases
- learning algorithm
- input data
- training data
- k means
- noisy data
- detection algorithm
- data sets
- dynamic programming
- sample set
- objective function
- data structure
- data analysis
- computational complexity
- simulated annealing
- data points
- data samples
- optimal solution
- feature selection
- np hard
- expectation maximization
- locally optimal
- preprocessing
- decision trees
- worst case
- data sources
- clustering method
- ensemble learning
- support vector
- neural network