A Bayesian and Machine Learning approach to estimating Influence Model parameters for IM-RO.
Trisha LawrencePublished in: CoRR (2018)
Keyphrases
- machine learning
- machine learning methods
- rigid body
- pattern recognition
- feature selection
- decision trees
- factors influencing
- bayesian inference
- learning tasks
- covariate shift
- learning algorithm
- main factors
- machine learning algorithms
- support vector machine
- data analysis
- information extraction
- bayesian learning
- reinforcement learning
- explanation based learning
- bayesian methods
- statistical inference
- computer science
- bayesian estimation
- posterior probability
- data mining
- bayesian analysis
- active learning
- knowledge acquisition
- text mining
- image segmentation
- estimation process
- bayesian approaches
- knowledge discovery
- individual differences
- accurate estimation
- computer vision
- bayesian networks
- social influence
- gaussian processes
- knowledge engineering
- inductive learning
- inductive logic programming
- learning systems
- model selection
- natural language processing