<--- Back to Details
First PageDocument Content
Bern Dibner / Harvard University / Education / Burndy Library / Smithsonian Institution / Smithsonian Institution Libraries / Massachusetts Institute of Technology
Date: 2010-02-16 18:15:32
Bern Dibner
Harvard University
Education
Burndy Library
Smithsonian Institution
Smithsonian Institution Libraries
Massachusetts Institute of Technology

Microsoft Word - SIL-DibnerSymposiumProgram[removed]docx

Add to Reading List

Source URL: www.sil.si.edu

Download Document from Source Website

File Size: 20,37 KB

Share Document on Facebook

Similar Documents

Cryptography / Computational complexity theory / Complexity classes / Interactive proof system / Zero-knowledge proof / NP / Probabilistically checkable proof / IP / Soundness / Commitment scheme / NEXPTIME / P versus NP problem

The Complexity of Zero Knowledge Salil Vadhan∗ School of Engineering and Applied Sciences Harvard University Cambridge, MA 02138

DocID: 1xW3t - View Document

Guggenheim Fellows / Classical music / Music / Paul Fromm / Eugene O'Brien / Chihchun Chi-sun Lee

FROMM MUSIC FOUNDATION HARVARD UNIVERSITY 3 Oxford Street Cambridge, Massachusetts 02138, USA Tel: • Fax: CONTACT: Lesley Bannatyne

DocID: 1xW2q - View Document

Statistical natural language processing / World Wide Web / Digital media / Internet culture / Subreddits / Crowdsourcing / Reddit / Collaboration / /r/IAmA / Oriented FAST and rotated BRIEF / Topic model / Select

Learning Linguistic Descriptors of User Roles in Online Communities Alex Wang1 , William L. Hamilton2 , Jure Leskovec2 1 School of Engineering and Applied Sciences, Harvard University, Cambridge MA, Computer Scie

DocID: 1xUYY - View Document

Computer programming / Declarative programming / Software engineering / Exponentials / Dependently typed programming / Higher-order abstract syntax / Logic programming / Programming language theory / Type theory / Exponentiation / Monad / ?:

Parametric Higher-Order Abstract Syntax for Mechanized Semantics Adam Chlipala Harvard University

DocID: 1xUkW - View Document

Statistical natural language processing / Machine learning / Artificial intelligence / Learning / Topic model / Causal inference / Latent Dirichlet allocation / Experiment / Mixture model / Unsupervised learning

Structural Topic Models for Open-Ended Survey Responses Margaret E. Roberts University of California, San Diego Brandon M. Stewart Harvard University Dustin Tingley Harvard University Christopher Lucas Harvard University

DocID: 1xTW7 - View Document