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Single-Class Classification Augmented with Unlabeled Data: A Symbolic Approach.
Andrew Skabar
Published in:
Australian Conference on Artificial Intelligence (2003)
Keyphrases
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unlabeled data
single class
labeled data
semi supervised learning
class labels
supervised learning
co training
semi supervised
text classification
training set
multi class
active learning
training data
learning algorithm
ensemble learning
classification error
classification accuracy
label information
decision boundary
training examples
binary classification
labeled examples
machine learning
text categorization
classification algorithm
class distribution
transfer learning
feature selection
pattern classification
decision trees
positive data
prior knowledge
binary classifiers
image classification
data points
positive examples
pairwise
data sets
class probabilities
feature extraction
reinforcement learning
machine learning algorithms
feature vectors
unsupervised learning
learning problems
positive and negative
naive bayes