2008 |
12 | EE | Chaitanya Chemudugunta,
Padhraic Smyth,
Mark Steyvers:
Combining concept hierarchies and statistical topic models.
CIKM 2008: 1469-1470 |
11 | EE | Chaitanya Chemudugunta,
America Holloway,
Padhraic Smyth,
Mark Steyvers:
Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning.
International Semantic Web Conference 2008: 229-244 |
10 | EE | Chaitanya Chemudugunta,
Padhraic Smyth,
Mark Steyvers:
Text Modeling using Unsupervised Topic Models and Concept Hierarchies
CoRR abs/0808.0973: (2008) |
2006 |
9 | EE | David Newman,
Chaitanya Chemudugunta,
Padhraic Smyth,
Mark Steyvers:
Analyzing Entities and Topics in News Articles Using Statistical Topic Models.
ISI 2006: 93-104 |
8 | EE | Chaitanya Chemudugunta,
Padhraic Smyth,
Mark Steyvers:
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model.
NIPS 2006: 241-248 |
2005 |
7 | EE | Mark Steyvers,
Scott Brown:
Prediction and Change Detection.
NIPS 2005 |
6 | EE | Mark Steyvers,
Joshua B. Tenenbaum:
The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth.
Cognitive Science 29(1): 41-78 (2005) |
2004 |
5 | EE | Mark Steyvers,
Padhraic Smyth,
Michal Rosen-Zvi,
Thomas L. Griffiths:
Probabilistic author-topic models for information discovery.
KDD 2004: 306-315 |
4 | EE | Thomas L. Griffiths,
Mark Steyvers,
David M. Blei,
Joshua B. Tenenbaum:
Integrating Topics and Syntax.
NIPS 2004 |
3 | EE | Michal Rosen-Zvi,
Thomas L. Griffiths,
Mark Steyvers,
Padhraic Smyth:
The Author-Topic Model for Authors and Documents.
UAI 2004: 487-494 |
2003 |
2 | EE | Mark Steyvers,
Joshua B. Tenenbaum,
Eric-Jan Wagenmakers,
Ben Blum:
Inferring causal networks from observations and interventions.
Cognitive Science 27(3): 453-489 (2003) |
2002 |
1 | EE | Thomas L. Griffiths,
Mark Steyvers:
Prediction and Semantic Association.
NIPS 2002: 11-18 |