Automated feature selection through relevance feedback.

Carsten Tusk Krzysztof Koperski Selim Aksoy Giovanni Marchisio

Published in: IGARSS (2003)

Keyphrases

relevance feedback
feature selection
feature weighting
image retrieval
information retrieval systems
text categorization
user feedback
model selection
mutual information

text classification
feature subset
semi automated
support vector machine
multi class
dimensionality reduction
query expansion
machine learning
discriminative features

method for feature selection
unsupervised learning
feature set
classification accuracy
support vector
microarray data
active learning
fully automated
information gain

tf idf
retrieval process
training data
feature extraction
learning algorithm
query refinement
irrelevant features
information retrieval