Semi-Supervised Learning with SVM and K-Means Clustering Algorithm.
Nitin Namdeo PiseParag KulkarniPublished in: IICAI (2009)
Keyphrases
- semi supervised learning
- semi supervised support vector machines
- training data
- semi supervised
- support vector machine svm
- support vector
- unlabeled data
- machine learning
- labeled data
- support vector machine
- multiple kernel learning
- supervised learning
- active learning
- feature selection
- semi supervised classification
- knn
- improve the classification accuracy
- learning problems
- unsupervised learning
- svm classifier
- co training
- text categorization
- learning models
- manifold regularization
- clustering algorithm
- multi class
- transfer learning
- semi supervised learning methods
- graph based semi supervised learning
- label propagation
- semi supervised learning algorithms
- hyperplane
- unlabeled samples
- support vectors
- labeled examples
- learning algorithm
- text classifiers
- multiple instance learning
- multi view
- prior knowledge
- k means
- feature vectors
- kernel methods
- pairwise