A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data.
Michael WermanDaniel KerenPublished in: CVPR (1999)
Keyphrases
- noisy data
- parametric models
- bayesian methods
- gaussian processes
- similarity measure
- model averaging
- noise free
- learning from noisy data
- probabilistic model
- machine learning methods
- high dimensionality
- missing values
- noise tolerant
- gaussian process
- data sets
- missing data
- machine learning algorithms
- parameter estimation
- model selection
- high dimensional
- support vector
- feature extraction