Machine learning classifiers using stochastic logic.
Yin LiuHariharasudhan VenkataramanZisheng ZhangKeshab K. ParhiPublished in: ICCD (2016)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- supervised classification
- feature selection
- training data
- artificial intelligence
- modal logic
- computer vision
- linear classifiers
- information extraction
- learning algorithm
- naive bayes
- training samples
- learning classifier systems
- svm classifier
- monte carlo
- supervised learning
- training set
- data analysis
- classification algorithm
- learning systems
- inductive logic programming
- computational intelligence
- multi valued
- classical logic
- knowledge representation
- multiple classifier systems
- explanation based learning
- roc analysis
- feature ranking
- individual classifiers
- meta learning
- neural network
- roc curve
- logic programming
- text classification
- pattern recognition
- support vector
- data mining
- classification models
- knowledge acquisition
- feature set
- text mining
- natural language processing