Semi-Supervised Learning with Per-Class Adaptive Confidence Scores for Acoustic Environment Classification with Imbalanced Data.
Luan Vinícius FiorioBoris KaranovJohan DavidWim J. van HoutumFrans WiddershovenRonald M. AartsPublished in: ICASSP (2023)
Keyphrases
- semi supervised learning
- supervised learning
- class labels
- unlabeled data
- labeled data
- co training
- unsupervised learning
- semi supervised
- machine learning
- training data
- text classification
- classification accuracy
- class distribution
- decision trees
- active learning
- text categorization
- decision boundary
- learning problems
- classification algorithm
- pattern classification
- class imbalance
- class specific
- feature set
- support vector machine svm
- benchmark datasets
- support vector machine
- feature selection
- training set
- classification models
- learning algorithm
- training samples
- image segmentation
- feature extraction
- support vector
- classification error
- cost sensitive
- feature space
- feature vectors
- machine learning methods
- machine learning algorithms