mimno.infosci.cornell.edu

David Mimno

Lastname]@cornell.edu - Gates 205. I am an assistant professor in the Information Science. Department at Cornell University. I was previously a postdoctoral researcher with David Blei. At Princeton. I received my PhD from the University of Massachusetts Amherst, with Andrew McCallum. Before coming to UMass, I worked for an internet auction startup, the NLP group at the University of Sheffield, and the Perseus Project. I supervise PhD students. In Information Science and Computer Science. A map of the NIH.

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David Mimno | mimno.infosci.cornell.edu Reviews

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Lastname]@cornell.edu - Gates 205. I am an assistant professor in the Information Science. Department at Cornell University. I was previously a postdoctoral researcher with David Blei. At Princeton. I received my PhD from the University of Massachusetts Amherst, with Andrew McCallum. Before coming to UMass, I worked for an internet auction startup, the NLP group at the University of Sheffield, and the Perseus Project. I supervise PhD students. In Information Science and Computer Science. A map of the NIH.

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6 machine learning toolkit

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David Mimno | mimno.infosci.cornell.edu Reviews

https://mimno.infosci.cornell.edu

Lastname]@cornell.edu - Gates 205. I am an assistant professor in the Information Science. Department at Cornell University. I was previously a postdoctoral researcher with David Blei. At Princeton. I received my PhD from the University of Massachusetts Amherst, with Andrew McCallum. Before coming to UMass, I worked for an internet auction startup, the NLP group at the University of Sheffield, and the Perseus Project. I supervise PhD students. In Information Science and Computer Science. A map of the NIH.

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mimno.infosci.cornell.edu

1

David Mimno - Publications

http://mimno.infosci.cornell.edu/publications.html

Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure. David Mimno, David M Blei, Barbara E Engelhardt. Proceedings of the National Academy of Sciences. 112(26):E3341–50, 2015. PNAS. Admixture models represent the alleles in a genome as a combination of latent ancestral populations. We apply posterior predictive checks to evaluate the quality of fit with respect to functions of interest to population biologists. Jordan Boyd-Graber, David Mimno, and David N...

2

David Mimno - Code

http://mimno.infosci.cornell.edu/code

The MALLET toolkit implements classification, sequence tagging, and topic modeling algorithms. I wrote the topic model package. Development site. This class trains a topic model with online variational inference, but with miniature Gibbs samplers in the inner loop. For details see this paper. This class depends on MALLET and some of the code below. Java.

3

David Mimno

http://mimno.infosci.cornell.edu/students.html

Lastname]@cornell.edu - Gates 205. I currently supervise two PhD students, Moontae Lee. And coadvise Jack Hessel.

4

INFO 3300 - Data-driven Web Pages

http://mimno.infosci.cornell.edu/info3300

INFO 3300 - Data-driven Web Applications. This course will introduce students to working with data in the context of modern web applications. These include data representation with relational and non-relational databases, data mining to find patterns and make predictions, and graphical presentation for visualization. Notes and "prompts" (pre-notes for upcoming classes) will be posted to GitHub. Assignments will be posted to CMS. Questions should go to Piazza. A Layered Grammar of Graphics. Data-driven do...

5

Topic modeling bibliography

http://mimno.infosci.cornell.edu/topics.html

Edoardo M. Airoldi. David M. Blei. Stephen E. Fienberg. Eric P. Xing. Mixed Membership Stochastic Blockmodels. JMLR. Article{airoldi2008mixed, author={Edoardo M. Airoldi and David M. Blei and Stephen E. Fienberg and Eric P. Xing}, title={Mixed Membership Stochastic Blockmodels}, journal={JMLR}, year={2008}, volume={9}, pages={1981-2014}, }. Topic Significance Ranking of LDA Generative Models. Statistical Debugging using Latent Topic Models. ECML. Inproceedings{andrzejewski2011framework, author={David And...

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pentriloquist.wordpress.com

Visualizing Game of Thrones | Giri Kuncoro

https://pentriloquist.wordpress.com/2015/05/12/visualizing-game-of-thrones

See my official website. May 12, 2015. Visualizing Game of Thrones. This is my second D3 project done with my fellow classmates: Josselyn and Allie. Our data is from the Game of Thrones wikia. That being said, in addition to organizing lots of character data, our visualization answers interesting questions about the television series such as: How many major characters have died thus far? Is there a large gender discrepancy in Game of Thrones? Which houses have the most major characters? We initially thou...

vlab4u.info

Análise da produção científica sobre a dengue no Brasil

http://vlab4u.info/doencas%20negligenciadas/Dengue

Análise da produção científica sobre a dengue no Brasil. Usando o Currículo Lattes. A busca com a so palavra dengue. Os Resultados com o "Core Competencies 1":. Dengue no curriculum, dengue no grupo de pesquisa (cor competencies), e colaboradores. Coleta e presentaçao com Scriptlattes. Analise qualitativa da produção. Responsabilidade Social da Pesquisa. Textos em jornais de notícias/revistas. Dos titulos dos projetos em andamento (5965). Dos titulos das orientações em andamento (2332 pós-doutorado.

pentriloquist.wordpress.com

12 | May | 2015 | Giri Kuncoro

https://pentriloquist.wordpress.com/2015/05/12

See my official website. Daily Archives: May 12, 2015. May 12, 2015. Visualizing Game of Thrones. This is my second D3 project done with my fellow classmates: Josselyn and Allie. Our data is from the Game of Thrones wikia. That being said, in addition to organizing lots of character data, our visualization answers interesting questions about the television series such as: How many major characters have died thus far? Is there a large gender discrepancy in Game of Thrones? We initially thought putting age...

nickdiakopoulos.com

Nick Diakopoulos » OpenVis is for Journalists!

http://www.nickdiakopoulos.com/2014/04/27/openvis-is-for-journalists

Computational Journalism and The Reporting of Algorithms. The Anatomy of a Robot Journalist ». OpenVis is for Journalists! Note: A version of the following also appears on the Tow Center blog. Last week I attended the OpenVis Conference. In Boston, a smorgasbord of learning dedicated to exploring the use and application of data visualization on the open web, so basically. Using proprietary standards. It was hard not to get excited, with a headline keynote like Mike Bostock. Lab, and from Lena Groeger.

iesl.cs.umass.edu

People - Information Extraction and Synthesis Laboratory

http://www.iesl.cs.umass.edu/people

PhD, started 2011). PhD, started 2012). PhD, started 2012). PhD, started 2013). Lakshmi Vikraman (PhD, started 2013). PhD, started 2012). PhD, started 2012). Nicholas Monath (PhD, started 2013). PhD, started 2014). PhD, started 2015). Adam Saunders (Software Engineer). Thomas Logan (Software Engineer). MS 2016, now at Oracle. Alexander G. Ororbia II. Visiting Scholar, Summer 2015, PhD Student at Pennsylvania State University). Caitlin Cellier ( MS 2015, now at Etsy. MS 2015, now at Facebook. PhD 2014, now.

phifel.wordpress.com

Some useful/interesting links | Phlog

https://phifel.wordpress.com/some-usefulinteresting-links

Skip to primary content. IBM Watson News Explorer. From the Cognitive Visualization Lab. Also watson.ted.com. Is a gateway to the tools used in sophisticated text analysis and retrieval. Is a scalable machine learning library, written in C , that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. mlpack provides these algorithms as simple command-line programs and C classes which can then be integrated into larger-scale machine learning solutions. 8211; jStat is...

cds.nyu.edu

Text as Data Speaker Series - NYU Center for Data Science

http://cds.nyu.edu/text-data-speaker-series

What is Data Science? News & Events. Moore-Sloan Data Science Environment at NYU. NYU Data Science Seed Grant. Data Science Lunch Seminar Series. Text as Data Speaker Series. Programs & Admissions. Faculty & Staff. Careers in Data Science. Center for Data Science. What is Data Science? News & Events. Moore-Sloan Data Science Environment at NYU. NYU Data Science Seed Grant. Data Science Lunch Seminar Series. Text as Data Speaker Series. Programs & Admissions. Faculty & Staff. Careers in Data Science.

nlp.berkeley.edu

Page 2 – Berkeley NLP Seminar

http://nlp.berkeley.edu/page/2

Page 2 of 3. NLP Seminar Fall 2016 Schedule (Mondays at 3:30pm). August 17, 2016. Comments Off on NLP Seminar Fall 2016 Schedule (Mondays at 3:30pm). Welcome back everyone to the Fall 2016 semester! This fall we will have a new time for the NLP Seminar; we’ll be meeting on Mondays from 3:30-4:30pm. The location is in room 202 South Hall. Another exciting change is that UC Berkeley students can earn 1 unit of credit. The speaker lineup is:. 9/12: Ellie Pavlick (U Penn). 9/19: Percy Liang (Stanford). Pleas...

matthewjockers.net

» Commentary Matthew L. Jockers

http://www.matthewjockers.net/category/commentary

Text Analysis with R for Students of Literature. The LDA Buffet: A Topic Modeling Fable. Color Versions of Figures 9.3 and 9.4. National Humanities Center: June 8 12. Harvard: April 3, 2015. Yale: December 5, 2014. DH 2014: Introduction to Text Analysis and Topic Modeling with R. DHWI: R Code Day One. DHWI: R Code Day Two. DHWI: R Code Day Three. DHWI: R Code Day Four. DHWI: R Code Functions File. Matthew L. Jockers. Posted by Matthew Jockers. Asymp; Comments Off on More Syuzhet Validation. Discussion ha...

nlp.berkeley.edu

Feb 25: David Mimno: Topic models without the randomness – Berkeley NLP Seminar

http://nlp.berkeley.edu/2016/02/22/feb-25-david-mimno-topic-models-without-the-randomness

Feb 25: David Mimno: Topic models without the randomness. February 22, 2016. Comments Off on Feb 25: David Mimno: Topic models without the randomness. Please join us for the next NLP Seminar on Thursday February 25 at 4pm in 205 South Hall. All are welcome! Speaker: David Mimno ( Cornell. Title: Topic models without the randomness: new perspectives on deterministic algorithms. Feb 11: Angel Chang: Interactive text to 3D scene generation. NLP Seminar Schedule Spring 2017. Feb 25: David Mimno: Topic models...

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Equine-Assisted Therapy for Body and Mind. 8220;Transforming lives, one ride at a time”. Miracles in Motion was on NH Public Radio on July 11th. If you didn’t get a chance to hear the segment, here is the link: Giving Matters: Horses Providing Therapy. Summer (6/22- 9/5) Open Registration. Need at least 1 weeks notice to schedule a lesson. 8211; There are still a few spots open for our Little Bits Camp – 8/17 – 8/21. WAYS TO TO HELP “MIRACLES” HAPPEN:. LIKE US ON FACEBOOK.

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MIMnimoy's blog - minimoy - Skyrock.com

Kikou vla mon blog lésé dé coms svp. 15/12/2007 at 9:41 AM. 17/02/2008 at 10:46 AM. Je l'aime c tou se ke je sé;chui déja. Tjr rien a faire. D-3-c-0-s.d-3-c-0-s.d-3-c-0-s.d-3-c-0-s. Soundtrack of My Life. 18 Noovembre 2oo8 :. Plus Que Manifique J`oublirey Jamai Saa. x). Subscribe to my blog! Je l'aime c tou se ke je sé;chui déja sorti avc dé gar mé ct pa osi fort . Je sé pa comen expliké se sentiment étrange ki menvahit. Et pui moi jaten encore et encore jaten un signe ;un signe de lui. Posted on Sunday,...

mimno.infosci.cornell.edu

David Mimno

Lastname]@cornell.edu - Gates 205. I am an assistant professor in the Information Science. Department at Cornell University. I was previously a postdoctoral researcher with David Blei. At Princeton. I received my PhD from the University of Massachusetts Amherst, with Andrew McCallum. Before coming to UMass, I worked for an internet auction startup, the NLP group at the University of Sheffield, and the Perseus Project. I supervise PhD students. In Information Science and Computer Science. A map of the NIH.

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David Mimno

Department of Information Science, Cornell University. There have been a number of papers at NIPS. That use Hamiltonian Monte Carlo. And I thought I’d share a Javascript implementation of the algorithm that I wrote a couple years ago. It can be a fairly opaque algorithm when described mathematically, and I found it really useful to see it working. It turns out it’s kind of mesmerizing. Get out on the ship! Jones, head of British scientific intelligence during World War II. Mallet past present and future.

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mimnod's blog - ma vie de ouf - Skyrock.com

Ma vie de ouf. 19/07/2006 at 4:20 AM. 02/01/2008 at 11:20 AM. Subscribe to my blog! La brosse a dent et le pécul! Don't forget that insults, racism, etc. are forbidden by Skyrock's 'General Terms of Use' and that you can be identified by your IP address (66.160.134.4) if someone makes a complaint. Please enter the sequence of characters in the field below. Posted on Sunday, 14 October 2007 at 11:36 AM. Voici une logique que j'apprécie! Please enter the sequence of characters in the field below. Don't for...

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Mimnoks Shadow - Home

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