Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta.
Mario Garza-FabreShaun M. KandathilJulia HandlJoshua D. KnowlesSimon C. LovellPublished in: GECCO (Companion) (2015)
Keyphrases
- global features
- machine learning
- search algorithm
- visual features
- feature vectors
- keypoints
- feature selection
- decision trees
- learning algorithm
- information retrieval
- data sets
- information extraction
- image features
- relevance ranking
- kernel methods
- relevance scores
- knowledge discovery
- test collection
- machine learning algorithms
- semi supervised learning
- classification accuracy
- image processing
- neural network