Regularization of boosted decision stumps using tabu search.
Michal BeretaPublished in: Appl. Soft Comput. (2019)
Keyphrases
- tabu search
- decision stumps
- kernel machines
- simulated annealing
- metaheuristic
- decision forest
- scheduling problem
- learning algorithm
- genetic algorithm
- ensemble learning
- selection algorithm
- generalization bounds
- logistic regression
- ensemble classifier
- search algorithm
- vehicle routing problem
- weak classifiers
- support vector
- kernel function
- data dependent
- base classifiers
- support vector machine
- generalization ability
- reproducing kernel hilbert space
- semi supervised
- decision trees
- tabu search algorithm
- candidate list
- base learners
- multi task
- learning theory
- loss function
- object detection