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The top documents tagged [proportion of examples]
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proportion of examples
Lehrstuhl für Informatik 2 Gabriella Kókai: Maschine Learning 1 Combining Inductive and Analytical Learning.
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Artificial Intelligence 11. Decision Tree Learning Course V231 Department of Computing Imperial College, London © Simon Colton.
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Active Learning based on Bayesian Networks Luis M. de Campos, Silvia Acid and Moisés Fernández.
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CS 8751 ML & KDDEvaluating Hypotheses1 Sample error, true error Confidence intervals for observed hypothesis error Estimators Binomial distribution, Normal.
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Decision tree LING 572 Fei Xia 1/10/06. Outline Basic concepts Main issues Advanced topics.
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Three kinds of learning Supervised learning Learning some mapping from inputs to outputs Unsupervised learning Given “data”, what kinds of patterns can.
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Decision tree LING 572 Fei Xia 1/16/06. Outline Basic concepts Issues In this lecture, “attribute” and “feature” are interchangeable.
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START OF DAY 2 Reading: Chap. 6 & 12. Decision Tree Learning.
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GEOMETRIC VIEW OF DATA David Kauchak CS 451 – Fall 2013.
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Hierarchical Annotation of Medical Images Ivica Dimitrovski 1, Dragi Kocev 2, Suzana Loškovska 1, Sašo Džeroski 2 1 Department of Computer Science, Faculty.
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Active Learning based on Bayesian Networks
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MULTI-INTERVAL DISCRETIZATION OF CONTINUOUS VALUED ATTRIBUTES FOR CLASSIFICATION LEARNING KIRANKUMAR K. TAMBALKAR.
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