An Ontological Rule-Based Approach for Analyzing Dead and False Optional Features in Feature Models.
L. F. RincónGloria GiraldoRaúl MazoCamille SalinesiPublished in: CLEI Selected Papers (2013)
Keyphrases
- predictive features
- feature set
- feature vectors
- image features
- prior knowledge
- input features
- low level
- global features
- machine learning approaches
- invariant features
- classification models
- predictive power
- feature values
- learning models
- significant features
- feature analysis
- additional features
- feature weights
- abstraction levels
- binary features
- feature interactions
- feature importance
- discriminative features
- multiple features
- feature representation
- model selection
- probabilistic model
- hidden markov models
- feature detectors
- learned models
- statistical models
- irrelevant features
- domain specific
- individual features
- domain knowledge
- feature space