Generating-shrinking algorithm for learning arbitrary classification.
Yan Qiu ChenDavid W. ThomasMark S. NixonPublished in: Neural Networks (1994)
Keyphrases
- learning algorithm
- preprocessing
- classification algorithm
- learning phase
- support vector machine svm
- benchmark data sets
- incremental learning
- detection algorithm
- dynamic programming
- matching algorithm
- machine learning algorithms
- active learning
- bayesian methods
- supervised learning
- classification method
- learning process
- accuracy rate
- support vector
- learning tasks
- text classification
- segmentation algorithm
- unsupervised learning
- machine learning
- decision tree learning algorithm
- imbalanced data sets
- inductive inference
- simulated annealing
- np hard
- search space
- feature space
- optimal solution
- objective function
- expectation maximization
- class labels
- online learning
- markov random field
- worst case
- classification accuracy
- extracted features
- k means
- computational complexity
- markov blanket