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Advanced Research Seminar I/III Graduate School of Information Science Nara Institute of Science and Technology January 2014 Instructor: Kevin Duh, IS Building Room A-705 Office hours: after class, or appointment by email (x@is.naist.jp where x=kevinduh) Course Description Deep Learning is a family of methods that exploits using deep architectures to learn high-level feature representations from d

Courses & Technical Notes: Machine Learning & Optimization Deep Learning: Short Course (2014); Deep Learning from the NLP Perspective Multiobjective optimization: a survey. Brief notes on: MCMC, Bundle methods Statistical Learning Course at the University of Washington, co-taugh with Prof. Mari Ostendorf (2008) Data Mining: frequent itemset, sequence mining, graph mining Machine Translation & Natu