kScore: a novel machine learning approach that is not dependent on the data structure of the training set.
Scott OloffIngo MueggePublished in: J. Comput. Aided Mol. Des. (2007)
Keyphrases
- data structure
- machine learning
- training set
- supervised learning
- decision trees
- active learning
- training data
- support vector machine
- test set
- machine learning methods
- nearest neighbor
- data mining
- knowledge acquisition
- quadtree
- pattern recognition
- data sets
- classification accuracy
- learning algorithm
- learning systems
- information extraction
- machine learning algorithms
- learning tasks
- cross validation
- semi supervised learning
- artificial intelligence
- computational intelligence
- efficient data structures
- inductive learning
- class labels
- linked list
- machine learning approaches
- index structure
- data analysis
- feature selection
- computer vision
- training samples
- classification algorithm
- test data
- text classification
- test images
- statistical methods
- graphical models
- face images
- text mining
- active appearance models
- space efficient