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Mark Richards's Discussions (28)

Discussions Replied To (9) Replies Latest Activity

""...a form of bootstrap sampling to boost your rare event cases higher for developme…"

Mark Richards replied Aug 25, 2009 to Modeling Rare Events

12 Jun 26, 2012
Reply by Daisy Ding

"addendum: attaching an interesting paper from Jerome Friedman comparing SVM and Boos…"

Mark Richards replied Jun 7, 2008 to Applied neural networks or SVM

10 Jul 2, 2008
Reply by Fariborz

"If your dissertation was on boosting, you should pick right up on GBM (aka "TreeNet"…"

Mark Richards replied Jun 7, 2008 to Applied neural networks or SVM

10 Jul 2, 2008
Reply by Fariborz

"Hi Phil, Could you use the 'weak' NN but instead of random sampling employ adaptive…"

Mark Richards replied Jun 4, 2008 to Applied neural networks or SVM

10 Jul 2, 2008
Reply by Fariborz

"Hi Patrice, Is there a reason that Gradient Boost Machines aren't on your list? Ma…"

Mark Richards replied Jun 4, 2008 to Applied neural networks or SVM

10 Jul 2, 2008
Reply by Fariborz

"Hi Bruce, I noticed that Paul D. Allison recently became a member of AB. Coincident…"

Mark Richards replied May 20, 2008 to A New Method of Modeling Missing Data: Deliverance of Discarded, Incomplete Cases

5 Jun 4, 2008
Reply by Bruce Ratner

"How about using Huber Loss instead of Least Squares?"

Mark Richards replied Mar 15, 2008 to

just now

""I don't care whether the cat's yellow or black, as long as it hunts!" (For bonus p…"

Mark Richards replied Mar 12, 2008 to A New Method of Modeling Missing Data: Deliverance of Discarded, Incomplete Cases

5 Jun 4, 2008
Reply by Bruce Ratner

"Has everyone (who's interested) seen that SAS has recently incorporated multiple imp…"

Mark Richards replied Mar 12, 2008 to A New Method of Modeling Missing Data: Deliverance of Discarded, Incomplete Cases

5 Jun 4, 2008
Reply by Bruce Ratner

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