Comparison of Multi-label and Multi-perspective Classifiers in Multi-task Pattern Recognition Problems.
Edward PuchalaKrzysztof ReisnerPublished in: CORES (2015)
Keyphrases
- multi label
- multi task
- pattern recognition problems
- learning tasks
- multi perspective
- multi label classification
- class labels
- multi task learning
- text categorization
- graph cuts
- collective classification
- pattern recognition
- image classification
- feature selection
- learning problems
- multi label learning
- d scene
- multi class
- classification algorithm
- text classification
- multiple kernel learning
- naive bayes
- base learners
- binary classification
- binary classifiers
- machine learning algorithms
- decision trees
- training data
- transfer learning
- higher order
- information gain
- support vector
- neural network
- feature extraction
- active learning
- training set
- supervised learning
- cost sensitive
- unsupervised learning
- data sets
- image processing
- information retrieval
- machine learning
- learning experience