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A Simple Bayesian Algorithm for Feature Ranking in High Dimensional Regression Problems.
Enes Makalic
Daniel Francis Schmidt
Published in:
Australasian Conference on Artificial Intelligence (2011)
Keyphrases
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regression problems
learning algorithm
high dimensional
genetic programming
k means
similarity measure
expectation maximization
feature selection
feature extraction
semi supervised
simulated annealing
high dimensional data
cross validation
linear regression
feature ranking