Trying to Understand How Analogical Classifiers Work.
William Fernando CorreaHenri PradeGilles RichardPublished in: SUM (2012)
Keyphrases
- support vector
- feature selection
- training set
- linear classifiers
- decision trees
- training data
- deeper understanding
- supervised classification
- majority vote
- multiple classifiers
- machine learning algorithms
- svm classifier
- majority voting
- optimum path forest
- classification systems
- data mining
- machine learning approaches
- classification decisions
- classification rate
- classification models
- machine learning methods
- classification algorithm
- domain knowledge
- test set
- qualitative reasoning
- training examples
- classifier ensemble
- training samples
- classifier combination
- feature set
- high dimensional
- pairwise