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Evaluation and Selection of Biases in Machine Learning
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Conservation Law for Generalization Performance
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A formal theory of inductive inference. Part II
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A formal theory of inductive inference. Part I
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Robust feature selection algorithms
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Similarity‐based learning and its extensions
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Evaluation of Learning Biases Using Probalbillistic Domain Knowledge
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EnsemV3X: a novel ensembled deep learning architecture for multi-label scene classification
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