Inferential models and relevant algorithms in a possibilistic framework.
Marco BaiolettiGiulianella ColettiDavide PetturitiBarbara VantaggiPublished in: Int. J. Approx. Reason. (2011)
Keyphrases
- modeling framework
- probabilistic model
- computationally efficient
- machine learning algorithms
- learning algorithm
- linear models
- computational complexity
- times faster
- computational cost
- mathematical models
- evaluation metrics
- statistical models
- mathematical framework
- complex systems
- orders of magnitude
- benchmark datasets
- main contribution
- test beds
- prior knowledge
- data structure
- logical framework
- large scale data sets
- directed graphical models
- theoretical framework
- learning models
- statistical methods
- process model
- neural network
- theoretical analysis
- significant improvement
- information retrieval