Mark Steyvers
Mark Steyvers is a person.
References
2008
- (Chemudugunta et al., 2008) ⇒ Chaitanya Chemudugunta, America Holloway, Padhraic Smyth, and Mark Steyvers. (2008). “Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning.” In: Proceedings of the 7th International Conference on The Semantic Web. doi:10.1007/978-3-540-88564-1_15
2007
- (Steyvers & Griffiths, 2007) ⇒ Mark Steyvers, and Thomas L. Griffiths. (2007). “Probabilistic Topic Models.” In: (Landauer et al., 2007).
- (Chemudugunta et al., 2007) ⇒ Chaitanya Chemudugunta, Padhraic Smyth, and Mark Steyvers. (2007). “Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model.” In: Bernhard Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19. MIT Press.
- (Griffiths et al., 2007) ⇒ Thomas L Griffiths, Mark Steyvers, and Joshua B. Tenenbaum. (2007). “Topics in Semantic Representation..” In: Psychological review, 114(2). doi:10.1037/0033-295X.114.2.211
2005
- (Steyvers & Griffiths, 2005) ⇒ Mark Steyvers, and Thomas L. Griffiths. (2005). “Probabilistic Topic Models.” In: Thomas K. Landauer (editor), D. Mcnamara (editor), S. Dennis (editor), and W. Kintsch (editor). “Latent Semantic Analysis: A Road to Meaning.” Laurence Erlbaum.
2004
- (Griffiths & Steyvers, 2004) ⇒ Thomas L. Griffiths, and Mark Steyvers. (2004). “Finding Scientific Topics.” In: Proceedings of the National Academy of Sciences (PNAS), 101(Suppl. 1). doi:10.1073/pnas.0307752101
- (Rosen-Zvi, 2004) ⇒ M. Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, and Padhraic Smyth. (2004). “The author-topic model for authors and documents.” In: Uncertainty in Artificial Intelligence (UAI 2004).
- (Griffiths et al., 2004) ⇒ Thomas L. Griffiths, Mark Steyvers, David M. Blei, and Joshua B. Tenenbaum. (2004). “Integrating Topics and Syntax.” In: Advances in Neural Information Processing Systems 17 (NIPS 2004).
2002
- (Griffiths & Steyvers, 2002) ⇒ Thomas L. Griffiths, and Mark Steyvers. (2004). “A Probabilistic Approach to Semantic Representation.” In: Proceedings of the 24th Annual Conference of the Cognitive Science Society, 2002.
