A comparison of neural net classifiers and linear tree classifiers: Their similarities and differences.
Youngtae ParkPublished in: Pattern Recognit. (1994)
Keyphrases
- neural nets
- training data
- support vector
- decision trees
- machine learning algorithms
- linear classifiers
- svm classifier
- feature selection
- similarity measure
- naive bayes
- training set
- class labels
- training samples
- real time
- artificial intelligence
- neural network
- decision tree classifiers
- counter propagation
- feed forward
- markov random field
- feature set
- image features
- reinforcement learning