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CS 8751 ML & KDDEvaluating Hypotheses1 Sample error, true error Confidence intervals for observed hypothesis error Estimators Binomial distribution, Normal.
Decision tree LING 572 Fei Xia 1/10/06. Outline Basic concepts Main issues Advanced topics.
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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START OF DAY 2 Reading: Chap. 6 & 12. Decision Tree Learning.
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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.
Geometric View of data
Active Learning based on Bayesian Networks
