https://learning.stat.purdue.edu/wiki/ 2013-05-21T05:35:27-04:00 https://learning.stat.purdue.edu/wiki/ https://learning.stat.purdue.edu/wiki/lib/tpl/simple/images/favicon.ico text/html 2013-05-17T11:46:44-04:00 skirshne https://learning.stat.purdue.edu/wiki/projects/drought/publications?rev=1368805604&do=diff 2011 * Mallya, G., Tripathi, S., R.S. Govindaraju, Hidden Markov model based probabilistic assessment of droughts, Proceedings of World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability, May 22-26, 2011, Palm Springs, CA, USA, pp. 1282-1291 * R.S. Govindaraju, S. Kirshner, X.-L. Tan, Regional Drought Characterization Using Copulas, Poster at AGU Fall Meeting, December 2011, San Francisco, CA ([poster]) text/html 2013-05-02T09:07:20-04:00 skirshne https://learning.stat.purdue.edu/wiki/sml/topbar?rev=1367500040&do=diff * * Home * People * Faculty * Chris Clifton * David F. Gleich * Sergey Kirshner * Jennifer Neville * Alan Qi * Luo Si * S V N Vishwanathan * Tao Wang * Students * Nesreen K. Ahmed * Vasil Denchev * April Harry * Timothy La Fond * Sebastian Moreno * Joel Pfeiffer * Ryan Rossi * Bin Shen * Pinar Yanardag Delul * Lin Yuan * Hyokun Yun text/html 2013-05-01T16:44:21-04:00 jdatta https://learning.stat.purdue.edu/wiki/courses/sp2013/598z/lab/week13?rev=1367441061&do=diff * Use the gradient descent code you wrote in your project for this exercise. * By plotting visually verify that the function is a convex function in the variable * Plug in the bisection algorithm you implemented in the last lab as a line search sub-routine in your gradient descent code * Verify the convergence speed of gradient descent for the three quadratic problems from your project. text/html 2013-04-30T18:22:43-04:00 jdatta https://learning.stat.purdue.edu/wiki/courses/sp2013/598z/lab/week9?rev=1367360563&do=diff * Generate 1000 samples from the standard normal distribution (zero mean, unit variance) * Plot a histogram of the points with bin sizes set to 10,20,50,100, and 500. Observe the changes in the estimated density * Estimate and plot the density using the box kernel which we used in the class: * Tune the width of the box and observe the change in your estimated density. * Estimate and plot the density using the Gaussian kernel: * Again, tune the width of the kernel and observe chang… text/html 2013-04-30T16:44:46-04:00 aharry https://learning.stat.purdue.edu/wiki/sml/students?rev=1367354686&do=diff Nesreen K. Ahmed (Home Page) Graduate Student Computer Science Department Advisor Jennifer Neville Office Lawson 2149 #14 Phone 765-496-9393 E-mail nkahmed at cs dot purdue dot edu Vasil S. Denchev (Home Page) Graduate Student Computer Science Department Advisor S V N Vishwanathan Office HAAS 175 Phone 765-588-1712 E-mail vdenchev at cs dot purdue dot edu April Harry Graduate Student Statistics Department Advisor Sergey Kirshner Office MATH 509 Phone E-mail aharry at pur… text/html 2013-04-30T15:54:06-04:00 smorenoa https://learning.stat.purdue.edu/wiki/sml/seminars/mlseminar/spring2012/transportation?rev=1367351646&do=diff Purdue University is located in West Lafayette, Indiana. If you have any question regarding travel to West Lafayette, please contact the coordinators of the Machine Learning Seminar: Sebastian Moreno (smorenoa@cs.purdue.edu) or Joel Pfeiffer (jpeiffer@purdue.edu) about travel-related questions. text/html 2013-04-30T15:50:08-04:00 smorenoa https://learning.stat.purdue.edu/wiki/sml/seminars/start?rev=1367351408&do=diff * Machine Learning and Applications Seminar, Fall 2013 * Machine Learning and Applications Seminar, Spring 2013 * Machine Learning and Applications Seminar, Fall 2012 * Machine Learning and Applications Seminar, Spring 2012 * Machine Learning and Applications Seminar, Fall 2011 * Machine Learning and Applications Seminar, Spring 2011 * Machine Learning and Applications Seminar, Fall 2010 text/html 2013-04-30T15:05:56-04:00 smorenoa https://learning.stat.purdue.edu/wiki/sml/seminars/mlseminar/fall2013/start?rev=1367348756&do=diff Semester: Fall 2013 Time: TBD, TBD (subject to exceptions, pls check individual weeks). Place: TBD (subject to exceptions, please check the schedule at most one week before). Coordinators: Sebastian Moreno (smorenoa at cs.purdue.edu) and Joel Pfeiffer (jpfeiffer at purdue.edu) text/html 2013-04-29T20:56:20-04:00 skirshne https://learning.stat.purdue.edu/wiki/sml/alumni?rev=1367283380&do=diff Suleyman Cetintas (Home Page) Ph.D. Computer Science, 2012 Advisor Luo Si Currently Applied scientist at Yahoo! Nan Ding (Home Page) Ph.D. Computer Science, 2013 Advisor S V N Vishwanathan Currently Researcher at Google Yi Fang (Home Page) Ph.D., Computer Science, 2012 Advisor Luo Si Currently Assistant Professor at Santa Clara University Rongjing Xiang (Home Page) Ph.D. Computer Science, 2012 Advisor Jennifer Neville Currently Data Scientist at Foursquare Feng Ya…