-
1
-
-
0037410744
-
A sequential pruning strategy for the selection of the number of states in hidden Markov models
-
Bicego M., Murino V., and Figueiredo M.A.T. A sequential pruning strategy for the selection of the number of states in hidden Markov models. Pattern Recognition Letter 24 (2003) 1395-1407
-
(2003)
Pattern Recognition Letter
, vol.24
, pp. 1395-1407
-
-
Bicego, M.1
Murino, V.2
Figueiredo, M.A.T.3
-
3
-
-
33744978094
-
Emerging topic tracking system in WWW
-
Bun K.H., and Ishizuka M. Emerging topic tracking system in WWW. Knowledge-Based Systems 19 (2006) 164-171
-
(2006)
Knowledge-Based Systems
, vol.19
, pp. 164-171
-
-
Bun, K.H.1
Ishizuka, M.2
-
5
-
-
85026972772
-
-
Hofmann, T. (1999). Probabilistic latent semantic indexing. In Proceedings of the twenty-second annual international SIGIR conference, Berkeley, California, USA (pp. 35-44).
-
Hofmann, T. (1999). Probabilistic latent semantic indexing. In Proceedings of the twenty-second annual international SIGIR conference, Berkeley, California, USA (pp. 35-44).
-
-
-
-
7
-
-
34247229909
-
-
McCallum, A., Corrada-Emanuel, A., & Wang, X. (2005). Topic and role discovery in social networks. In Proceedings of the 19th international joint conference on artificial intelligence, Edinburgh, UK (pp. 786-791).
-
McCallum, A., Corrada-Emanuel, A., & Wang, X. (2005). Topic and role discovery in social networks. In Proceedings of the 19th international joint conference on artificial intelligence, Edinburgh, UK (pp. 786-791).
-
-
-
-
8
-
-
33749551461
-
-
Mei, Q., & Zhai, C. X. (2006). A mixture model for contextual text mining. In Proceedings of the twelfth ACM SIGKDD international conference on knowledge discovery and data mining, Philadelphia, USA (pp. 649-655).
-
Mei, Q., & Zhai, C. X. (2006). A mixture model for contextual text mining. In Proceedings of the twelfth ACM SIGKDD international conference on knowledge discovery and data mining, Philadelphia, USA (pp. 649-655).
-
-
-
-
9
-
-
12244292946
-
-
Morinaga, S. S, & Yamanishi, K. (2004). Tracking dynamics of topic trends using a finite mixture model. In Proceedings of the 10th ACM SIGKDD international conference on knowledge discovery and data mining, Seattle, USA (pp. 811-816).
-
Morinaga, S. S, & Yamanishi, K. (2004). Tracking dynamics of topic trends using a finite mixture model. In Proceedings of the 10th ACM SIGKDD international conference on knowledge discovery and data mining, Seattle, USA (pp. 811-816).
-
-
-
-
10
-
-
0024610919
-
A tutorial on hidden markov models and selected applications in speech recognition
-
Rabiner L.R. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE 77 (1989) 257-286
-
(1989)
Proceedings of the IEEE
, vol.77
, pp. 257-286
-
-
Rabiner, L.R.1
-
11
-
-
53849091542
-
-
Rosen-Zvi, M., Griffiths, T., Steyvers, M., & Smyth, P. (2004). The author-topic model for authors and documents. In Proceedings of the 20th conference on uncertainty in artificial intelligence, Banff, Canada (pp. 487-494).
-
Rosen-Zvi, M., Griffiths, T., Steyvers, M., & Smyth, P. (2004). The author-topic model for authors and documents. In Proceedings of the 20th conference on uncertainty in artificial intelligence, Banff, Canada (pp. 487-494).
-
-
-
-
13
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz G. Estimating the dimension of a model. Annuals of Statistics 6 2 (1978) 461-464
-
(1978)
Annuals of Statistics
, vol.6
, Issue.2
, pp. 461-464
-
-
Schwarz, G.1
-
14
-
-
23944480670
-
-
Vicenc, T. (2005). Fuzzy c-means for fuzzy hierarchical clustering. In The 2005 IEEE international conference on fuzzy systems (pp. 646-651).
-
Vicenc, T. (2005). Fuzzy c-means for fuzzy hierarchical clustering. In The 2005 IEEE international conference on fuzzy systems (pp. 646-651).
-
-
-
-
15
-
-
33749565782
-
-
Wang, X. R., & McCallum, A. (2006). Topics over time: A non-markov continuous-time model of topical trends. In Proceedings of the twelfth ACM SIGKDD international conference on knowledge discovery and data mining, Philadelphia, USA (pp. 424-433).
-
Wang, X. R., & McCallum, A. (2006). Topics over time: A non-markov continuous-time model of topical trends. In Proceedings of the twelfth ACM SIGKDD international conference on knowledge discovery and data mining, Philadelphia, USA (pp. 424-433).
-
-
-
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