Feature (machine learning)
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What links here
Feature selection
Markov blanket
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Kullback–Leibler divergence
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RFE
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Learning classifier system
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Quantitative structure–activity relationship
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Curse of dimensionality
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Sensitivity analysis
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Dimensionality reduction
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Decision tree learning
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Prior probability
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Branch and bound
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Mutual information
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Cross-validation (statistics)
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Inductive bias
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Overfitting
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Pattern recognition
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Intrusion detection system
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Least squares
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Word-sense disambiguation
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Supervised learning
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Multivariate statistics
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Genetic programming
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Input selection
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