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David Newman
2010 – today
- 2012
[j7]Brynjar Gretarsson, John O'Donovan, Svetlin Bostandjiev, Tobias Höllerer, Arthur U. Asuncion, David Newman, Padhraic Smyth: TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling. ACM TIST 3(2): 23 (2012)- [j6]Alexander T. Ihler, David Newman: Understanding Errors in Approximate Distributed Latent Dirichlet Allocation. IEEE Trans. Knowl. Data Eng. 24(5): 952-960 (2012)
- [c21]David Newman, Nagendra Koilada, Jey Han Lau, Timothy Baldwin: Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction. COLING 2012: 2077-2092
- [c20]Jey Han Lau, Paul Cook, Diana McCarthy, David Newman, Timothy Baldwin: Word Sense Induction for Novel Sense Detection. EACL 2012: 591-601
- [c19]Omid Oliaei, Mark Kirschenmann, David Newman, Kurt Hausmann, Haolu Xie, Patrick Rakers, Mahib Rahman, Michael Gomez, Chuanzhao Yu, Benjamin Gilsdorf, Kurt Sakamoto: A multiband multimode transmitter without driver amplifier. ISSCC 2012: 164-166
- [c18]David Newman, Youn Noh, Kat Hagedorn, Arun Balagopalan: Learning topics and related passages in books. JCDL 2012: 195-198
- [c17]Inci Cetindil, Jamshid Esmaelnezhad, Chen Li, David Newman: Analysis of Instant Search Query Logs. WebDB 2012: 7-12
- 2011
- [j5]Kat Hagedorn, Michael Kargela, Youn Noh, David Newman: A New Way to Find: Testing the Use of Clustering Topics in Digital Libraries. D-Lib Magazine 17(9/10) (2011)
- [j4]Bidit Lal Dey, David Newman, Renee Prendergast: Analysing appropriation and usability in social and occupational lives: An investigation of Bangladeshi farmers' use of mobile telephony. IT & People 24(1): 46-63 (2011)
- [c16]Jey Han Lau, Karl Grieser, David Newman, Timothy Baldwin: Automatic Labelling of Topic Models. ACL 2011: 1536-1545
- [c15]Youn Noh, Katrina Hagedorn, David Newman: Are learned topics more useful than subject headings. JCDL 2011: 411-412
- [c14]David Newman, Edwin V. Bonilla, Wray L. Buntine: Improving Topic Coherence with Regularized Topic Models. NIPS 2011: 496-504
- 2010
- [j3]David Newman, Timothy Baldwin, Lawrence Cavedon, Eric Huang, Sarvnaz Karimi, David Martínez, Falk Scholer, Justin Zobel: Visualizing search results and document collections using topic maps. J. Web Sem. 8(2-3): 169-175 (2010)
- [c13]Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy Baldwin: Best Topic Word Selection for Topic Labelling. COLING (Posters) 2010: 605-613
- [c12]David Newman, Youn Noh, Edmund M. Talley, Sarvnaz Karimi, Timothy Baldwin: Evaluating topic models for digital libraries. JCDL 2010: 215-224
- [c11]David Newman, Jey Han Lau, Karl Grieser, Timothy Baldwin: Automatic Evaluation of Topic Coherence. HLT-NAACL 2010: 100-108
- [c10]Oralee Nudson, David Newman, Benjamin A. Carreras: Creating portable agents for coupling power transmission models. SpringSim 2010: 13
2000 – 2009
- 2009
- [j2]David Newman, Arthur U. Asuncion, Padhraic Smyth, Max Welling: Distributed Algorithms for Topic Models. Journal of Machine Learning Research 10: 1801-1828 (2009)
- [c9]David Newman, Sarvnaz Karimi, Lawrence Cavedon: Using Topic Models to Interpret MEDLINE's Medical Subject Headings. Australasian Conference on Artificial Intelligence 2009: 270-279
- [c8]Bruce William Herr II, Edmund M. Talley, Gully A. P. C. Burns, David Newman, Gavin LaRowe: The NIH Visual Browser: An Interactive Visualization of Biomedical Research. IV 2009: 505-509
- 2008
- [c7]Ian Porteous, David Newman, Alexander T. Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling: Fast collapsed gibbs sampling for latent dirichlet allocation. KDD 2008: 569-577
- 2007
- [j1]Kat Hagedorn, Suzanne Chapman, David Newman: Enhancing Search and Browse Using Automated Clustering of Subject Metadata. D-Lib Magazine 13(7/8) (2007)
- [c6]David Newman, Kat Hagedorn, Chaitanya Chemudugunta, Padhraic Smyth: Subject metadata enrichment using statistical topic models. JCDL 2007: 366-375
- [c5]David Newman, Arthur U. Asuncion, Padhraic Smyth, Max Welling: Distributed Inference for Latent Dirichlet Allocation. NIPS 2007
- 2006
- [c4]David Newman, Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers: Analyzing Entities and Topics in News Articles Using Statistical Topic Models. ISI 2006: 93-104
- [c3]David Newman, Chaitanya Chemudugunta, Padhraic Smyth: Statistical entity-topic models. KDD 2006: 680-686
- [c2]Yee Whye Teh, David Newman, Max Welling: A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. NIPS 2006: 1353-1360
1990 – 1999
- 1995
- [c1]David Newman: Where are we going with telecommunications development and regulation in the year 2000 and beyond?. Integrated Network Management 1995: 684-685
Coauthor Index
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last updated on 2013-03-12 21:30 CET by the dblp team