Kernel Mean Embedding of Instance-wise Predictions in Multiple Instance Regression.
Thomas UriotPublished in: CoRR (2019)
Keyphrases
- multiple instance
- regression problems
- instance level
- multiple instance learning
- input space
- linear regression
- learning problems
- gaussian processes
- concept learning
- support vector
- kernel methods
- kernel function
- real valued
- genetic programming
- cross validation
- relational learning
- semi supervised learning
- feature space
- maximum margin
- support vector machine
- regression model
- pairwise
- model selection
- base learners
- hyperparameters
- random forests
- high dimensional data
- relational data
- multiple kernel learning
- high dimensional