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+<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
+<WRAP 70% center>
+^  **DATE:**|Thursday, Month 31, 2017 |
+^  **TIME:**|1:15pm -- 2:15pm |
+^  **LOCATION:**|WH 100E |
+^  **SPEAKER:**|Wenbo Wang, Binghamton University |
+^  **TITLE:**|An introduction to Conformal Predictions  |
+</WRAP>
+\\
+<WRAP center box 80%>
+<WRAP centeralign>**Abstract**</WRAP>
+Conformal predictions uses past experience to determine precise
+levels of confidence in new predictions. Given an error probability ε,
+together with a method that makes a prediction of the label y, it produces
+a set of labels that contains y with probability 1 − ε. Conformal
+prediction can be applied to any method which make predictions, for
+instance, nearest-neighbor method, support-vector machine, ridge
+regression, etc. In this talk, the speaker will give a brief introduction
+to Conformal prediction and give several examples.
+</WRAP>