iClass - Applying Multiple Multi-Class Machine Learning Classifiers Combined With Expert Knowledge to Roper Center Survey Data.
Marmar MoussaMarc MaynardPublished in: LWA (2015)
Keyphrases
- multi class
- expert knowledge
- survey data
- machine learning
- binary classifiers
- multiclass classification
- linear classifiers
- feature selection
- multiple classes
- support vector machine
- class probabilities
- error correcting output codes
- multi class classifiers
- expert systems
- multi class classifier
- machine learning algorithms
- multinomial logistic regression
- domain knowledge
- binary classification problems
- multi class classification
- multiclass problems
- domain experts
- knowledge base
- binary classification
- support vector
- multi class problems
- single class
- pairwise
- cost sensitive
- boosting algorithms
- knowledge acquisition
- svm classifier
- object detection
- prior knowledge
- decision trees
- binary classification tasks
- text classification
- kernel logistic regression
- learning problems
- multi class svm
- binary and multi class
- multi label classification
- machine learning methods
- training examples
- fuzzy logic
- training data
- naive bayes
- protein classification
- feature set
- multi class boosting
- knowledge representation
- feature vectors
- decision making
- artificial intelligence