Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods.
Miguel CachadaSalisu Mamman AbdulrahmanPavel BrazdilPublished in: AutoML@PKDD/ECML (2017)
Keyphrases
- computational cost
- significant improvement
- preprocessing
- dynamic programming
- synthetic and real images
- detection algorithm
- learning algorithm
- simulated annealing
- selection algorithm
- test images
- machine learning
- heuristic methods
- convergence rate
- matching algorithm
- optimization algorithm
- k means
- data mining problems
- feature maps
- exhaustive search
- probabilistic model
- cross validation
- clustering method
- worst case
- expectation maximization
- classification method
- cost function
- model selection
- feature subset
- parameter settings
- computational complexity
- optimal solution
- neural network