Automated selection of interaction effects in sparse kernel methods to predict pregnancy viability.
Vanya Van BellePaulo LisboaPublished in: CIDM (2013)
Keyphrases
- kernel methods
- interaction effects
- kernel matrices
- multiple kernel
- kernel function
- support vector
- machine learning
- feature space
- kernel matrix
- support vector machine
- learning tasks
- positive semi definite
- statistically significant
- reproducing kernel hilbert space
- face recognition
- high dimensional
- experimental design
- pairwise
- multiple kernel learning
- training data
- image processing
- data sets