Using Kernel Methods and Model Selection for Prediction of Preterm Birth.
Ilia VovshaAnsaf Salleb-AouissiAnita RajaThomas KochAlex RybchukAxinia RadevaAshwath RajanYiwen HuangHatim DiabAshish TomarRonald J. WapnerPublished in: CoRR (2016)
Keyphrases
- model selection
- kernel methods
- machine learning
- kernel matrix
- cross validation
- hyperparameters
- support vector
- parameter estimation
- kernel function
- learning problems
- feature space
- sample size
- support vector machine
- variable selection
- generalization error
- regression model
- statistical inference
- mixture model
- reproducing kernel hilbert space
- selection criterion
- multiple kernel learning
- model selection criteria
- gaussian process
- learning machines
- graphical models
- generalization bounds
- parameter selection
- decision trees
- image processing
- kernel learning
- learning algorithm