Decision Aggregation in Distributed Classification by a Transductive Extension of Maximum Entropy/Improved Iterative Scaling.
David J. MillerYanxin ZhangGeorge KesidisPublished in: EURASIP J. Adv. Signal Process. (2008)
Keyphrases
- maximum entropy
- iterative scaling
- class conditional
- maximum entropy principle
- support vector
- text classification
- minimum cross entropy
- conditional random fields
- decision trees
- machine learning
- semi supervised learning
- principle of maximum entropy
- support vector machine svm
- supervised learning
- semi supervised
- support vector machine
- classification accuracy
- decision making
- unsupervised learning
- image classification
- decision boundary
- feature space
- transformation based learning
- training samples
- decision problems
- sensitivity analysis
- image processing