nips2009.topicmodels.net
Applications for Topic Models: Text and BeyondApplications for Topic Models: Text and Beyond
http://nips2009.topicmodels.net/
Applications for Topic Models: Text and Beyond
http://nips2009.topicmodels.net/
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Applications for Topic Models: Text and Beyond | nips2009.topicmodels.net Reviews
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Applications for Topic Models: Text and Beyond
nips2009.topicmodels.net
Schedule - Applications for Topic Models: Text and Beyond
http://nips2009.topicmodels.net/schedule
Applications for Topic Models: Text and Beyond. Overview/survey of topic modeling research. Modeling Dynamic Network Tomography. Diane Hu and Lawrence Saul. A Probabilistic Topic Model for Music Analysis. Sean Gerrish and David Blei. Modeling Influence in Text Corpora. From Bag-of-Words to Total Scene Understanding: Evolution of Topic Models in Visual Recognition. Topic Models and Adaptor Grammars. Gabriel Doyle and Charles Elkan. David Sontag and Daniel Roy. Complexity of Inference in Topic Models.
Accepted Papers - Applications for Topic Models: Text and Beyond
http://nips2009.topicmodels.net/accepted-papers
Applications for Topic Models: Text and Beyond. Joseph Reisinger, Austin Waters, Bryan Silverthorn, Raymond Mooney. Joseph Reisinger, Marius Pasca. Ruslan Salakhutdinov, Geoffrey Hinton. Generating Status Hierarchies from Meeting Transcripts Using the Author-Topic Model. Software Analysis with Unsupervised Topic Models. Erik Linstead, Lindsey Hughes, Cristina Lopes, Pierre Baldi. Adaptation of Topic Model to New Domains Using Recursive Bayes. Ying-Lang Chang, Jen-Tzung Chien. Eric Wang, Lawrence Carin.
Workshop Recap Song - Applications for Topic Models: Text and Beyond
http://nips2009.topicmodels.net/workshop-summary-song
Applications for Topic Models: Text and Beyond. I am a topic modeler of data that are general. I've analyzed monks, phenotypes, and colleges electoral. I know the homes of Pompeii. And I hum the tunes historical. I find and classify your friends, with labels categorical. I'm very well acquainted, too, with e-mail topic tracking. I understand reductions, both from min cut and set packing. I love my inference algor'ms, even when they're hella hard,. Like when I'm taking products with operators Hadamard.
Background - Applications for Topic Models: Text and Beyond
http://nips2009.topicmodels.net/background
Applications for Topic Models: Text and Beyond. We encourage everyone interested in topic models to attend the workshop. For those less familiar with the field or for pointers to the variety of applications of topic models, we present the following references. This is not a complete list; please see the related work sections of these papers for more thorough treatment. D Blei, A. Ng, and M. Jordan. Latent Dirichlet allocation. Journal of Machine Learning Research. 3:993 1022, January 2003. 1:121 144, 2006.
Call for Papers - Applications for Topic Models: Text and Beyond
http://nips2009.topicmodels.net/call-for-papers-and-important-dates
Applications for Topic Models: Text and Beyond. We encourage researchers to emphasize real-world applications, ranging from specific applications to entire application domains, in their submissions, and welcome the following types of papers:. Research papers that propose new topic models for specific applications. Research papers that apply existing topic models to novel application domains. Position papers on the desiderata of existing application domains. Authors should use the NIPS submission format.
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December | 2009 | Please Scoop Me!
https://pleasescoopme.com/2009/12
Monthly Archives: December 2009. December 17, 2009 · 5:53 pm. How diverse is Facebook? I’ve been doing some work on the topic, along with Lars, Cameron, and Itamar. Read more at http:/ www.facebook.com/note.php? December 9, 2009 · 11:41 pm. Come to our NIPS talk! For those of you in Vancouver right now, here’s a shameless plug for our NIPS talk on interpreting topic models, which is happening at 4:10. Hope to see you there. And to whet your apetite, here’s a picture:. And don’t forget the workshop.
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Advances in Neural Information Processing Systems 2007
Advances in Neural Information Processing Systems 2007. Deadline for Paper Submissions: June 8, 2007. At 23:59 Universal Standard Time (4:59pm Pacific Daylight Time). To edit the author list for a paper or to modify your data (e.g., affiliation), please check the FAQ page. The list of accepted papers. Invited Speakers at NIPS 2007:. Yair Censor, Department of Mathematics, University of Haifa, Israel. Mark S. Handcock, Department of Statistics, University of Washington, USA. Quick links: Call for Papers.
Statnet
License and source code attribution requirements. Software tools for the analysis, simulation and visualization of network data. Visit the statnet Wiki. For information on, background material for and access to the statnet. Suite of packages for network analysis. You can find installation instructions. Has a different purpose than the excellent packages UCINET or Pajek; the focus is on statistical modeling of network data. The statistical modeling capabilities of statnet.
Applications for Topic Models: Text and Beyond
Applications for Topic Models: Text and Beyond. NIPS Workshop: Dec 11, 2009, Whistler, Canada. Identify and formalize open research areas. Propose, explore, and discuss new application areas. Discuss how best to facilitate transfer of research ideas between application domains. Direct future work and generate new application areas. Explore novel modeling approaches and collaborative research directions. David Blei (Princeton University). Thomas Landauer (University of Colorado).
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