A Multiple Learning Model Based Voting System for News Headline Classification.
Fenhong ZhuXiaozheng DongRui SongYu HongQiaoming ZhuPublished in: NLPCC (2017)
Keyphrases
- supervised learning
- learning algorithm
- learning systems
- pattern recognition
- learning process
- incremental learning
- average reward reinforcement learning
- machine learning methods
- knowledge acquisition
- classification accuracy
- neural network
- learning phase
- bayesian methods
- learning tasks
- keywords
- support vector
- unsupervised learning
- feature space
- model selection
- learning problems
- pattern classification
- feature extraction
- feature vectors
- support vector machine
- kernel learning
- discriminative learning
- multiple tasks
- voting method
- active learning