PPT-Lecture 8a: Regularization

2 R eligious Holidays please contact if this affects your HW due dates For 209 students please submit 209 HW separately from 109 HW in different assignments on Canvas Asec this week optional to cover 2. nyuedu Matthew Zeiler zeilercsnyuedu Sixin Zhang zsxcsnyuedu Yann LeCun yanncsnyuedu Rob Fergus ferguscsnyuedu Dept of Computer Science Courant Institute of Mathematical Science New York University Abstract We introduce DropConnect a generalization o Illposed problems de64257nition and examples 2 Regularization of illposed problems with noisy data 3 Parameter choice rules for exact noise level 4 Iterative methods 5 Discretization methods 6 Lavrentiev and Tikhonov methods and modi64257cations 7 P 30pm 730pm 730pm 730pm Hold Your Applause Inventing and Reinventing the C lassical Concert Hold Your Applause Inventing and Reinventing the C lassical Concert Hold Your Applause Inventing and Reinventing the C lassical Concert Hold Your Applause I 22x1 lecture 14x1 lecture 14UIC UIC BioSBioS 101 Nyberg101 NybergReading AssignmentReading Assignment Chapter 12, study the figures and Chapter 12, study the figures and understand the color coding.un Naiyan. Wang. Outline. Introduction to Dropout. Basic idea and Intuition. Some common mistakes for dropout. Practical Improvement. DropConnect. Adaptive Dropout. Theoretical Justification. Interpret as an adaptive . CIDER seismology lecture IV. July 14, 2014. Mark Panning, University of Florida. Outline. The basics (forward and inverse, linear and non-linear). Classic discrete, linear approach. Resolution, error, and null spaces. Regularization for Unsupervised Learning of Probabilistic Grammars. Kewei. . Tu. Vasant. . Honavar. Departments of Statistics and Computer Science. University of California, Los Angeles. Department of Computer Science. C. lients’. Undeclared/Untaxed . F. unds. Undeclared Funds vs. Undistributed . R. evenues . Current Reporting Obligations on Foreign Accounts. Residency status . (for reporting purposes):. Is defined by the RF Currency Legislation;. Jie Tang. *. , Limin Yao. #. , and Dewei Chen. *. *. Dept. of Computer Science and Technology. Tsinghua University. #. Dept. of Computer Science, University of Massachusetts Amherst. April, 2009. ?. What are the major topics in the returned docs?. Surfaces in a Global Optimization Framework. Petter Strandmark Fredrik Kahl . Centre for Mathematical Sciences, Lund University. Length Regularization. Segmentation.  . Data. . term. Length of boundary. Dr. . Saeed. . Shiry. Hypothesis Space. The . hypothesis space H is the space of functions . allow our algorithm to provide.. in the space the algorithm is allowed to search. . it is often important to choose the hypothesis space as a function of the amount of data available.. Juan Andrés . Bazerque. , Gonzalo . Mateos. , and . Georgios. B. . Giannakis. . August. 8, 2012. . Spincom. group, University of Minnesota. . Acknowledgment: . AFOSR MURI grant no. FA 9550-10-1-0567. July 14, 2014. Mark Panning, University of Florida. Outline. The basics (forward and inverse, linear and non-linear). Classic discrete, linear approach. Resolution, error, and null spaces. Thinking more probabilistically. Regression Trees. Characteristics of classification models. model. linear. parametric. global. stable. decision tree. no. no. no. no. logistic regression. yes. yes. yes. yes. discriminant. analysis.