Content-Based Music Classification Using Ensemble of Classifiers.
Manikanta Durga Srinivas AnisettyGagan K. ShettySrinidhi HiriyannaiahSiddesh Gaddadevara MattK. G. SrinivasaAnita KanavalliPublished in: IHCI (2018)
Keyphrases
- final classification
- ensemble classifier
- majority voting
- training set
- automatic music genre classification
- classifier ensemble
- multiple classifiers
- support vector
- classification systems
- feature selection
- classification algorithm
- accurate classifiers
- decision trees
- individual classifiers
- ensemble learning
- training data
- class labels
- multiple classifier systems
- classification rate
- classification models
- classification method
- combining classifiers
- support vector machine
- supervised classification
- decision boundary
- machine learning methods
- svm classifier
- concept drifting data streams
- ensemble classification
- accurate classification
- classification accuracy
- classification process
- imbalanced data
- machine learning
- classifier fusion
- decision tree classifiers
- ensemble methods
- machine learning algorithms
- music genre classification
- classifier combination
- nearest neighbor classifiers
- rule based classifier
- multiclass classification
- text classification
- k nearest neighbour
- weak learners
- music recommendation
- base classifiers
- weighted voting
- generalization ability
- random forests
- roc curve
- feature vectors
- knn
- feature ranking
- class probabilities
- multi class
- multi category
- naive bayes
- classification decisions
- probabilistic classifiers
- binary classification problems
- combination of multiple classifiers
- binary classifiers
- supervised learning
- random forest
- training samples
- feature set