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Dean Spade 901 12 th Ave Seattle WA 98122 EDUCATION UCLA School of Law Los Angeles California Program in Public Intere. We propose a method that uses a mul tiscale convolutional network trained from raw pixels to extract dense feature vectors that encode regions of multiple sizes centered on each pixel The method alleviates the need for engineered features In paralle August AUGUST PRINCETON EDU Department of Computer Science Princeton University Princeton NJ 08540 USA Abstract To meet the performance demands of modern architectures compilers incorporate an ever increasing number of aggressive code transformation sunysb edu kartikcsfsuedu hiuehcssunysb edu Department of Computer Science Ston Brook Uni ersity Ston Brook NY 11794 Computer Science Department Florida State Uni ersity allahassee FL 32306 The IEEE 80211 ir eless LAN standar ds allow multiple nono v They have been applied to a vast variety of data sets contexts and tasks to varying degrees of success However to date there is almost no formal theory explicating the LDAs behavior and despite its familiarity there is very little systematic analysi MSSVM properly accounts for the uncertainty of hidden variables and can sig ni64257cantly outperform the previously proposed la tent structured SVM LSSVM Yu Joachims 2009 and other stateofart methods especially when that uncertainty is large Our m Toronto ON M5S 3G4 CANADA Abstract Recurrent Neural Networks RNNs are very powerful sequence models that do not enjoy widespread use because it is extremely dif64257 cult to train them properly Fortunately re cent advances in Hessianfree optimizatio xin@pmail.ntu.edu.sg,anwitaman@ntu.edu.sg,HFANG1@e.ntu.edu.sgandZhangJ@ntu.edu.sgAbstract Copyright Office lib.umich.edu/copyright copyright@umich.edu Copyright Office publications@wcfia.harvard.edu • http://www.wcfia.harvard.edu Working Paper Series No. 13-0004 Varieties of Populism: Literature Review and Research Agenda by Bart Bonikowski, Department of Soc pade [spaded@umkc.edu ]  Friday, February 13, 2015 Dr. Weishi Liu Professor, Department of Mathematics University of Kansas Analysis of Poisson - Nernst - Planck Systems and Applications *Correspondingauthor.E-mailaddresses:suh@mit.edu(G.E.Suh),cwo@mit.edu(C.W.O YuchenZhangyXiChen]DengyongZhouMichaelI.JordanyyUniversityofCalifornia,Berkeley,Berkeley,CA94720fyuczhang,jordang@berkeley.edu]NewYorkUniversity,NewYork,NY10012xichen@nyu.eduMicrosoftResearch,1Micro ORGANISATION DE COOP Core Requirements UCOR classes (SU's general education courses) are listed in the sample plan by what module is recommend. See below for UCOR course titles listed by Module. See my.seattleu.edu for