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--- seminars:stat:191017 [2019/10/15 01:26] – created qyu
+++ seminars:stat:191017 [2019/10/15 01:27] (current) – qyu
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+<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
+<WRAP 70% center>
+^  **DATE:**|Thursday, October 17, 2019 |
+^  **TIME:**|1:15pm -- 2:15pm |
+^  **LOCATION:**|WH 100E |
+^  **SPEAKER:**|Xinhai Zhang, Binghamton  University |
+^  **TITLE:**|Prediction and outlier detection in classification problems (BCOPS method)  |
+</WRAP>
+\\
+<WRAP center box 80%>
+<WRAP centeralign>**Abstract**</WRAP>
+In multi-class classification problem, the training data and the
+out-of-sample test data may have different distributions. A method called BCOPS
+(balanced and conformal optimized prediction sets) constructs a prediction set C(x)
+as a subset of class labels, possibly empty. It tries to optimize the out-of-sample
+performance, aiming to include the correct class as often as possible, but also
+detecting outliers x, for which the method returns no prediction (corresponding to
+C(x) equal to the empty set).
+</WRAP>