Robust semi-supervised least squares classification by implicit constraints.
Jesse H. KrijtheMarco LoogPublished in: Pattern Recognit. (2017)
Keyphrases
- least squares
- semi supervised
- supervised learning
- robust estimation
- semi supervised classification
- text classification
- semi supervised clustering
- decision trees
- classification accuracy
- machine learning
- classification method
- weighted least squares
- support vector
- feature extraction
- automatic classification
- semi supervised learning
- unlabeled samples
- preprocessing
- pattern recognition
- labeled data
- machine learning algorithms
- low rank
- fully supervised
- classification algorithm
- learning algorithm
- unsupervised learning
- multi view
- pairwise
- feature vectors
- support vector machine
- semi supervised learning algorithms
- feature selection
- training set
- unsupervised clustering
- pairwise constraints
- support vector machine svm
- supervised classification
- co training
- model selection
- pattern classification
- distance metric
- unlabeled data