Shen-Shyang Ho is an Assistant Professor in the School of Computer Engineering at the Nanyang Technological University (NTU), Singapore. Before joining NTU in January 2012, he was an assistant research scientist at the University of Maryland Institute for Advanced Computer Studies (UMIACS). He received the BS degree in mathematics and computational science from the National University of Singapore in 1999, and the MS and PhD degrees in computer science from George Mason University in 2003 and 2007, respectively. He was formerly a NASA Postdoctoral Program (NPP) fellow affiliated to the Jet Propulsion Laboratory (JPL) and a postdoctoral scholar affiliated to the California Institute of Technology working in the Climate, Oceans, and Solid Earth Science section in the science division at JPL. His research interests include learning from data streams/sequences, adaptive learning, pattern recognition, data mining in spatio-temporal domain and moving objects databases, and machine learning/data mining on mobile devices.
Télécharger le livre :  Conformal Prediction for Reliable Machine Learning

The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face...
Editeur : Morgan Kaufmann
Parution : 2014-04-23

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