Ensemble of Neural Classifiers for Scoring Knowledge Base Triples.
Ikuya YamadaMotoki SatoHiroyuki ShindoPublished in: CoRR (2017)
Keyphrases
- knowledge base
- ensemble learning
- ensemble classifier
- multiple classifiers
- classifier ensemble
- ensemble pruning
- training data
- training set
- majority voting
- neural network
- final classification
- ensemble methods
- individual classifiers
- neural classifier
- combining classifiers
- class label noise
- ensemble members
- majority vote
- decision trees
- multiple classifier systems
- decision tree classifiers
- accurate classifiers
- expert systems
- weighted voting
- support vector
- randomized trees
- weak learners
- trained classifiers
- feature selection
- network architecture
- mining concept drifting data streams
- rule induction algorithm
- base classifiers
- linked data
- feature ranking
- diversity measures
- concept drifting data streams
- machine learning algorithms
- classification algorithm
- ensemble classification
- svm classifier
- description logics
- bias variance decomposition
- one class support vector machines
- benchmark datasets
- rule base
- pruning algorithm
- weak classifiers
- classifier combination
- imbalanced data
- associative memory
- naive bayes
- classification models
- generalization ability
- text categorization