<![CDATA[UMBC ebiquity RSS Tag Search]]><![CDATA[Training Deep Neural Networks with Gradual Deconvexification]]>
http://ebiquity.umbc.edu/paper/html/id/930/Training-Deep-Neural-Networks-with-Gradual-Deconvexification
2016-06-24<![CDATA[Convexification and Deconvexification for Training Artificial Neural Networks]]>
http://ebiquity.umbc.edu/paper/html/id/932/Convexification-and-Deconvexification-for-Training-Artificial-Neural-Networks
2016-05-01<![CDATA[The Normalized Risk-Averting Error Criterion for Avoiding Nonglobal Local Minima in Training Neural Networks]]>
http://ebiquity.umbc.edu/paper/html/id/933/The-Normalized-Risk-Averting-Error-Criterion-for-Avoiding-Nonglobal-Local-Minima-in-Training-Neural-Networks
2015-02-01<![CDATA[A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion]]>
http://ebiquity.umbc.edu/paper/html/id/934/A-pairwise-algorithm-for-training-multilayer-perceptrons-with-the-normalized-risk-averting-error-criterion
2014-07-07<![CDATA[Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE Training Method]]>
http://ebiquity.umbc.edu/paper/html/id/937/Overcoming-the-Local-Minimum-Problem-in-Training-Multilayer-Perceptrons-with-the-NRAE-Training-Method
2012-07-11