Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning.

Dominik Lang Daniel Kottke Georg Krempl Myra Spiliopoulou

Published in: AL@iKNOW (2016)

Keyphrases

uncertainty sampling
active learning
cost sensitive
support vector
experimental design
training set
binary classification
multi class
random sampling

machine learning
query by committee
misclassification costs
support vector machine
naive bayes
learning strategies
probability estimates
feature selection
labeled data

ensemble members
logistic regression
generalization error
training examples
support vector machine svm
semi supervised
svm classifier
class imbalance
supervised learning

learning process
learning algorithm
maximum entropy
class distribution
semi supervised learning
training data
decision trees
sample complexity