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: MLHC (2016)
Keyphrases
- model selection
- kernel methods
- machine learning
- kernel matrix
- cross validation
- learning problems
- support vector
- hyperparameters
- kernel function
- parameter estimation
- regression model
- model selection criteria
- learning tasks
- sample size
- reproducing kernel hilbert space
- support vector machine
- feature space
- generalization bounds
- mixture model
- feature selection
- generalization error
- multiple kernel learning
- statistical inference
- kernel learning
- gaussian process
- variable selection
- kernel parameters
- learning machines
- image processing
- objective function
- pairwise