Bayesian nonparametric Multiple Instance Regression.
Saravanan SubramanianSantu RanaSunil GuptaPalaniappan Bagavathi SivakumarC. Shunmuga VelayuthamSvetha VenkateshPublished in: ICPR (2016)
Keyphrases
- multiple instance
- bayesian nonparametric
- regression problems
- gaussian process
- multiple instance learning
- inverse reinforcement learning
- regression model
- gaussian processes
- hyperparameters
- mixture model
- linear regression
- cross validation
- learning problems
- model selection
- concept learning
- real valued
- semi supervised learning
- relational learning
- support vector
- maximum margin
- bayesian framework
- em algorithm
- closed form
- semi supervised
- high dimensional data
- prior information
- least squares
- learning algorithm
- support vector machine
- high dimensional
- sample size