Inductive learning from preclassified training examples: an empirical study.
Weiqi LiMilam W. AikenPublished in: IEEE Trans. Syst. Man Cybern. Part C (1998)
Keyphrases
- inductive learning
- training examples
- small number
- knowledge acquisition
- learning algorithm
- supervised learning
- active learning
- training data
- machine learning
- domain theory
- training set
- support vector
- object categories
- training samples
- feature generation
- inductive bias
- class labels
- negative examples
- class distribution
- inductive logic programming
- labeled data
- prior knowledge
- co training
- positive and negative examples
- prior domain knowledge
- learning tasks
- domain knowledge
- knowledge representation
- positive examples
- sample complexity
- artificial intelligence
- data sets
- unlabeled data
- unsupervised learning