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#	Item
321	THE POIETIC POWER OF GENERATIVE SOUND ART FOR AN INFORMATION SOCIETY Alice Eldridge Centre for Creative Research into Sound Arts Practice University of the Arts, London, UK Add to Reading List Source URL: www.ecila.org Language: English - Date: 2012-09-22 16:16:00
322	CMU: Arc-Factored, Discriminative Semantic Dependency Parsing Sam Thomson Brendan O’Connor Jeffrey Flanigan David Bamman Jesse Dodge Swabha Swayamdipta Nathan Schneider Chris Dyer Noah A. Smith Language Technologies In Add to Reading List Source URL: samthomson.com Language: English - Date: 2014-09-30 14:07:30 Linguistics Corpus linguistics Computational linguistics Language Syntax Semantics Natural language processing Dependency grammar Parsing Treebank Phrase structure grammar Functional generative description
323	PRESS RELEASE MARCH 2009 "ARTISTS + ENVIRONMENTS: GENERATIVE PRACTICES AND CONVERSATIONS" A COLLABORATIVE ART + MEDIA PROJECT Add to Reading List Source URL: www.extrememediastudies.org Language: English - Date: 2009-02-17 19:27:49
324	Slub \| 20010203_(folded)/20010307_(folded) MP3 + PDF \| FSlub: process-based sonic improvisations; live generative music using hand-crafted Macintosh and Unix applications (in networked synchrony). Computer lan Add to Reading List Source URL: www.fallt.com - Date: 2007-01-04 19:08:16
325	Topic Significance Ranking of LDA Generative Models Loulwah AlSumait1 Daniel Barbar´a1 James Gentle2 Carlotta Domeniconi1 1 Department of Computer Science, George Mason University, Fairfax VA 22030, Add to Reading List Source URL: cs.gmu.edu Language: English - Date: 2010-01-05 19:15:39
326	Image and Vision Computing–97 www.elsevier.com/locate/imavis An observation-constrained generative approach for probabilistic classification of image regions Sanjiv Kumara,, Alexander C. Louib, Martial He Add to Reading List Source URL: www.sanjivk.com Language: English* - Date: 2010-06-01 18:50:17 Probability and statistics Segmentation Generative model Mixture model Minimum description length Unsupervised learning Expectation–maximization algorithm Statistical classification Supervised learning Machine learning Statistics Computational statistics
327	GENERATIVE STRATEGIES IN GRAPHIC DESIGN + DIGITAL ART +FIELD.IO Add to Reading List Source URL: www.field.io Language: English - Date: 2014-04-16 06:47:32
328	Model Selection in Compositional Spaces by Roger Baker Grosse B.S., Stanford UniversityM.S., Stanford University (2008) Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-06-03 15:15:50 Bayesian statistics Statistical models Generative model Bayes factor Variational Bayesian methods Variational message passing Marginal likelihood Supervised learning Gibbs sampling Statistics Machine learning Probability and statistics
329	Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:49:35 Theoretical computer science Probability Graphical models Statistical models Bayesian statistics Conditional random field Discriminative model Generative model Markov random field Statistics Machine learning Probability and statistics
330	Intervention out of islands∗ Hadas Kotek Massachusetts Institute of Technology 1. Add to Reading List Source URL: hkotek.com Language: English Wh-movement Generative linguistics Question Parasitic gap Interrogative word In situ Coordination Operator Linguistics Grammar Syntax

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