Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach.
Saher EsmeirShaul MarkovitchPublished in: J. Artif. Intell. Res. (2008)
Keyphrases
- low cost
- low error
- training set
- real valued
- training data
- support vector
- decision trees
- random sampling
- active learning
- inductive learning
- naive bayes
- training examples
- training samples
- version space
- linear classifiers
- inductive inference
- machine learning algorithms
- data sets
- upper bound
- learning algorithm
- class labels
- feature set
- classification accuracy
- feature extraction
- multiclass classification
- feature selection
- majority voting