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www.cs.jhu.edu/~jason
by Jason Eisner (2015) Everyone should read Leo Breiman's 2001 article, Statistical Modeling: The Two Cultures. (Summary: Traditional statisticians start with a distribution. They try to identify the parameters of the distribution from data that were actually generated from it. Applied statisticians start with data. They have no idea where their data really came from and are happy to fit any model
www.cs.jhu.edu/~post
by Jason Eisner (2009) Multi-pass reading Skim the paper first, skipping over anything that would take much mental effort. Just get an idea of where the paper is going, why it was written, what's old hat and what's new to you. To force yourself to keep moving, give yourself a limited time budget per page or use the autoscroll feature of your PDF reader. Now, assuming the paper still seems worthwhi
My Work Publications and related materials Research students Full CV, short bio, and research summary Courses, tutorial materials, teaching statement, 2012 interview and 2019 interview about teaching Code, including the Dyna project Advice for research students and prospective students Workshop on Probabilistic Representations of Linguistic Meaning (2014) What I Work On All kinds of novel methods
www.cs.jhu.edu/~mdredze
This sentiment dataset supersedes the previous data (still available here). Link to download the data: [unprocessed.tar.gz] (1.5 G) [processed_acl.tar.gz] (19 M) [processed_stars.tar.gz] (33 M) This sentiment dataset has been used in several papers: John Blitzer, Mark Dredze, Fernando Pereira. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification. Associat
www.cs.jhu.edu/~razvanm
A Visual Expedition Inside the Linux File Systems Răzvan Musăloiu-E. razvanm@cs.jhu.edu
How to Serve as Program Chair of a Conference by Jason Eisner (2007) I was recently program chair (PC) of a moderately large CS conference, EMNLP-CoNLL 2007, which received about 400 submissions, with an acceptance rate of 27% (under 17% for talks). To avoid duplication of effort, I saved various materials and am making them available via this page to future program chairs of ACL-style conferences
www.cs.jhu.edu/~ccb
Current Information I have moved to the University of Pennsylvania. Here is my new home page:http://www.cis.upenn.edu/~ccb/ Research Group I work with lots of very talented students at Johns Hopkins University. My research group is a small army (here's a group photo): Master's students: Ryan Cotterell, Gaurav Kumar 1st year PhD students: Ellie Pavlick (Penn) 3rd year PhD students: Xuchen Yao Senio
www.cs.jhu.edu/~graphics
OVERVIEW GLOD represents an extremely lightweight approach to Geometric Level of Detail toolkits. You will find that GLOD is not another scene graph library. Instead, GLOD is designed to closely mesh with the standard OpenGL programming model in such a way that using GLOD should be just like using standard OpenGL vertex arrays. NEW RELEASE: 12/7/2005 Download GLOD 1.0pre4 FEATURES GLOD, though sti
www.cs.jhu.edu/~yarowsky
Professor Department of Computer Science Johns Hopkins University Baltimore, MD 21218 Phone: (410) 516-5372 Email: yarowsky@jhu.edu Office: Hackerman 324G I am a member of JHU's Center for Language and Speech Processing . Education Ph.D. 1996 University of Pennsylvania Computer and Information Science M.S.E. 1993 University of Pennsylvania Computer and Information Science A.B. 1987 Harvard Univers
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