How reliable are posterior class probabilities in automatic music classification?
Hanna M. LukashevichSascha GrollmischJakob AbeßerSebastian StoberJoachim BösPublished in: Audio Mostly Conference (2023)
Keyphrases
- class probabilities
- multi class
- decision boundary
- kernel logistic regression
- bayesian methods
- random forests
- probability estimates
- naive bayes
- class labels
- cost sensitive
- density function
- class distribution
- classification algorithm
- decision trees
- probability estimation
- binary classifiers
- classification trees
- classification accuracy
- pattern classification
- multiclass classification
- test instances
- multi class classification
- feature extraction
- binary classification
- learning algorithm
- benchmark datasets
- training data
- bayesian networks
- support vector machine
- density estimation
- machine learning
- conditional probabilities
- data distribution
- machine learning algorithms