Decision Making in Statistical Learning o distribution-free only training examples are provided a use data to estimate the complete distribution, and then derive decision rule( density estimation is hard P(a Cu) a use training examples to directly make decision, e. g, empirical risk minimization o DT: assumes the complete data distribution is qiven MLA 2011, Tsinghua UniversityDecision Making in Statistical Learning distribution-free; only training examples are provided ❑ use data to estimate the complete distribution, and then derive decision rule (density estimation is hard!) ❑ use training examples to directly make decision, e.g., empirical risk minimization DT: assumes the complete data distribution is given 5 MLA 2011, Tsinghua University