-
1
-
-
70350012149
-
-
Attias, H.: Inferring parameters and structure of latent variable models by variational Bayes. In: Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence (UAI-99), pp. 21-30, Stockholm, 30 July-1 August 1999
-
Attias, H.: Inferring parameters and structure of latent variable models by variational Bayes. In: Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence (UAI-99), pp. 21-30, Stockholm, 30 July-1 August 1999.
-
-
-
-
2
-
-
70350035769
-
-
Baker, J.K.: Trainable grammars for speech recognition. In: Proceedings of Spring Conference of the Acoustical Society of America, pp. 547-550 (1979)
-
Baker, J.K.: Trainable grammars for speech recognition. In: Proceedings of Spring Conference of the Acoustical Society of America, pp. 547-550 (1979).
-
-
-
-
3
-
-
0033976458
-
The Pfam protein families database
-
Bateman, A., Birney, E., Durbin, R., Eddy, S., Howe, K., Sonnhammer, E.: The Pfam protein families database. Nucleic Acids Res. 28(1), 263-266 (2000).
-
(2000)
Nucleic Acids Res.
, vol.28
, Issue.1
, pp. 263-266
-
-
Bateman, A.1
Birney, E.2
Durbin, R.3
Eddy, S.4
Howe, K.5
Sonnhammer, E.6
-
4
-
-
13844295342
-
The variational Bayesian EM algorithm for incomplete data: With application to scoring graphical model structures
-
Oxford: Oxford University Press
-
Beal, M., Ghahramani, Z.: The variational Bayesian EM algorithm for incomplete data: with application to scoring graphical model structures. In: Bayesian Statistics, vol. 7, pp. 453-454. Oxford University Press, Oxford (2003).
-
(2003)
Bayesian Statistics
, vol.7
, pp. 453-454
-
-
Beal, M.1
Ghahramani, Z.2
-
5
-
-
33750511893
-
Variational Bayesian learning of directed graphical models with hidden variables
-
Beal, M.J., Ghahramani, Z.: Variational Bayesian learning of directed graphical models with hidden variables. Bayesian Anal. 1(4), 793-832 (2006).
-
(2006)
Bayesian Anal.
, vol.1
, Issue.4
, pp. 793-832
-
-
Beal, M.J.1
Ghahramani, Z.2
-
6
-
-
37249053508
-
-
Chavira, M., Darwiche, A.: Compiling Bayesian networks with local structure. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05), pp. 1306-1312, Edinburgh, 30 July-5 August 2005
-
Chavira, M., Darwiche, A.: Compiling Bayesian networks with local structure. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05), pp. 1306-1312, Edinburgh, 30 July-5 August 2005.
-
-
-
-
7
-
-
0002607026
-
Bayesian classification (autoclass): Theory and results
-
U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (Eds.), Menlo Park: AAAI
-
Cheeseman, P., Stutz, J.: Bayesian classification (autoclass): theory and results. In: Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.) Advances in Knowledge Discovery and Data Mining, pp. 153-180. AAAI, Menlo Park (1996).
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 153-180
-
-
Cheeseman, P.1
Stutz, J.2
-
8
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. R. Stat. Soc. B39(1), 1-38 (1977).
-
(1977)
R. Stat. Soc.
, vol.B39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
9
-
-
1542559558
-
Graphical models and variational methods
-
D. Saad and M. Opper (Eds.), Cambridge: MIT
-
Ghahramani, Z., Beal, M.: Graphical models and variational methods. In: Saad, D., Opper, M. (eds.) Advanced Mean Field Methods-Theory and Practice. MIT, Cambridge (2001).
-
(2001)
Advanced Mean Field Methods-Theory and Practice
-
-
Ghahramani, Z.1
Beal, M.2
-
10
-
-
70350022627
-
-
Goodman, J.: Parsing inside-out. Ph.D. dissertation, Harvard University (1998)
-
Goodman, J.: Parsing inside-out. Ph.D. dissertation, Harvard University (1998).
-
-
-
-
11
-
-
35248832819
-
Efficient EM learning for parameterized logic programs
-
New York: Springer
-
Kameya, Y., Sato, T.: Efficient EM learning for parameterized logic programs. In: Proceedings of the 1st Conference on Computational Logic (CL'00). Lecture Notes in Artificial Intelligence, vol. 1861, pp. 269-294. Springer, New York (2000).
-
(2000)
Proceedings of the 1st Conference on Computational Logic (CL'00). Lecture Notes in Artificial Intelligence, vol. 1861
, pp. 269-294
-
-
Kameya, Y.1
Sato, T.2
-
12
-
-
0028181441
-
Hidden markov models in computational biology: Applications to protein modeling
-
Krogh, A., Brown, M., Mian, I., Sjolander, K., Haussler, D.: Hidden markov models in computational biology: applications to protein modeling. J. Mol. Biol. 235, 1501-1531 (1994).
-
(1994)
J. Mol. Biol.
, vol.235
, pp. 1501-1531
-
-
Krogh, A.1
Brown, M.2
Mian, I.3
Sjolander, K.4
Haussler, D.5
-
13
-
-
70350022624
-
-
Kurihara, K., Sato, T.: An application of the variational Bayesian approach to probabilistic context-free grammars. In: Proceedings of the IJCNLP-04 Workshop Beyond Shallow Analyses (2004)
-
Kurihara, K., Sato, T.: An application of the variational Bayesian approach to probabilistic context-free grammars. In: Proceedings of the IJCNLP-04 Workshop Beyond Shallow Analyses (2004).
-
-
-
-
14
-
-
33750292464
-
-
Kurihara, K., Sato, T.: Variational bayesian grammar induction for natural language. In: Proceedings of the 8th International Colloquium on Grammatical Inference (ICGI-2006), pp. 84-95, Tokyo, 20-22 September 2006
-
Kurihara, K., Sato, T.: Variational bayesian grammar induction for natural language. In: Proceedings of the 8th International Colloquium on Grammatical Inference (ICGI-2006), pp. 84-95, Tokyo, 20-22 September 2006.
-
-
-
-
15
-
-
70350003935
-
-
MacKay, D.: Ensemble learning for hidden Markov models. Technical report, Cavendish Laboratory, University of Cambridge (1997)
-
MacKay, D.: Ensemble learning for hidden Markov models. Technical report, Cavendish Laboratory, University of Cambridge (1997).
-
-
-
-
17
-
-
85131704369
-
-
Mateescu, R., Dechter, R.: The relationship between AND/OR search spaces and variable elimination. In: Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI'05), pp. 380-387, Edinburgh, 26-29 July 2005
-
Mateescu, R., Dechter, R.: The relationship between AND/OR search spaces and variable elimination. In: Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI'05), pp. 380-387, Edinburgh, 26-29 July 2005.
-
-
-
-
18
-
-
40249107899
-
Case-factor diagrams for structured probabilistic modeling
-
Arlington: AUAI
-
McAllester, D., Collins, M., Pereira, F.: Case-factor diagrams for structured probabilistic modeling. In: Proceedings of the 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI'04), pp. 382-391. AUAI, Arlington (2004).
-
(2004)
Proceedings of the 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI'04)
, pp. 382-391
-
-
McAllester, D.1
Collins, M.2
Pereira, F.3
-
19
-
-
84880877501
-
-
Minato, S., Satoh, K., Sato, T.: Compiling Bayesian networks by symbolic probability calculation based on zero-suppressed bdds. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI'07), pp. 2550-2555, Hyderabad, 6-12 January 2007
-
Minato, S., Satoh, K., Sato, T.: Compiling Bayesian networks by symbolic probability calculation based on zero-suppressed bdds. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI'07), pp. 2550-2555, Hyderabad, 6-12 January 2007.
-
-
-
-
21
-
-
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. Proc. IEEE 77(2), 257-286 (1989).
-
(1989)
Proc. IEEE
, vol.77
, Issue.2
, pp. 257-286
-
-
Rabiner, L.R.1
-
22
-
-
70350023458
-
-
Roark, B., Johnson, M.: Efficient probabilistic top-down and left-corner parsing. In: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, pp. 421-428 (1999)
-
Roark, B., Johnson, M.: Efficient probabilistic top-down and left-corner parsing. In: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, pp. 421-428 (1999).
-
-
-
-
23
-
-
84880862205
-
-
Sato, T.: Inside-outside probability computation for belief propagation. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI'07), pp. 2605-2610 (2007)
-
Sato, T.: Inside-outside probability computation for belief propagation. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI'07), pp. 2605-2610 (2007).
-
-
-
-
24
-
-
51249110847
-
A glimpse of symbolic-statistical modeling by prism
-
Sato, T.: A glimpse of symbolic-statistical modeling by prism. J. Intell. Inf. Syst. 31(2), 161-176 (2008).
-
(2008)
J. Intell. Inf. Syst.
, vol.31
, Issue.2
, pp. 161-176
-
-
Sato, T.1
-
25
-
-
70350031467
-
-
Sato, T., Abe, S., Kameya, Y., Shirai, K.: A separate-and-learn approach to EM learning of PCFGs. In: Proceedings of the 6th Natural Language Processing Pacific Rim Symposium (NLRPS2001), pp. 255-262 (2001)
-
Sato, T., Abe, S., Kameya, Y., Shirai, K.: A separate-and-learn approach to EM learning of PCFGs. In: Proceedings of the 6th Natural Language Processing Pacific Rim Symposium (NLRPS2001), pp. 255-262 (2001).
-
-
-
-
26
-
-
84863339347
-
-
Sato, T., Kameya, Y.: PRISM: a language for symbolic-statistical modeling. In: Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI'97), pp. 1330-1335 (1997)
-
Sato, T., Kameya, Y.: PRISM: a language for symbolic-statistical modeling. In: Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI'97), pp. 1330-1335 (1997).
-
-
-
-
27
-
-
4444281941
-
Parameter learning of logic programs for symbolic-statistical modeling
-
Sato, T., Kameya, Y.: Parameter learning of logic programs for symbolic-statistical modeling. J. Artif. Intell. Res. 15, 391-454 (2001).
-
(2001)
J. Artif. Intell. Res.
, vol.15
, pp. 391-454
-
-
Sato, T.1
Kameya, Y.2
-
28
-
-
70350022625
-
-
Sato, T., Kameya, Y., Abe, S., Shirai, K.: Fast EM learning of a family of PCFGs. Technical Report (Dept. of CS) TR01-0006, Tokyo Institute of Technology (2001)
-
Sato, T., Kameya, Y., Abe, S., Shirai, K.: Fast EM learning of a family of PCFGs. Technical Report (Dept. of CS) TR01-0006, Tokyo Institute of Technology (2001).
-
-
-
-
29
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz, G.: Estimating the dimension of a model. Ann. Stat. 6(2), 461-464 (1978).
-
(1978)
Ann. Stat.
, vol.6
, Issue.2
, pp. 461-464
-
-
Schwarz, G.1
-
30
-
-
70350028564
-
-
Sornlertlamvanich, V., Inui, K., Shirai, K., Tanaka, H., Tokunaga, T., Takezawa, T.: Empirical evaluation of probabilistic glr parsing. In: Proceedings of the Natural Language Processing Pacific Rim Symposium, pp. 169-174 (1997)
-
Sornlertlamvanich, V., Inui, K., Shirai, K., Tanaka, H., Tokunaga, T., Takezawa, T.: Empirical evaluation of probabilistic glr parsing. In: Proceedings of the Natural Language Processing Pacific Rim Symposium, pp. 169-174 (1997).
-
-
-
-
31
-
-
0031857684
-
Rose: Generating sequence families
-
Stoye, J., Evers, D., Meyer, F.: Rose: generating sequence families. Bioinformatics 14(2), 157-163 (1998).
-
(1998)
Bioinformatics
, vol.14
, Issue.2
, pp. 157-163
-
-
Stoye, J.1
Evers, D.2
Meyer, F.3
-
32
-
-
70350005074
-
-
Uratani, N., Takezawa, T., Matsuo, H., Morita, C.: ATR integrated speech and language database. Technical Report TR-IT-0056, ATR Interpreting Telecommunications Research Laboratories (1994, in Japanese)
-
Uratani, N., Takezawa, T., Matsuo, H., Morita, C.: ATR integrated speech and language database. Technical Report TR-IT-0056, ATR Interpreting Telecommunications Research Laboratories (1994, in Japanese).
-
-
-
-
33
-
-
10844289515
-
Language modeling with probabilistic left corner parsing
-
Van Uytsel, D., Van Aelten, F., Van Compernolle, D.: Language modeling with probabilistic left corner parsing. Comput. Speech Lang. 19, 171-204 (2005).
-
(2005)
Comput. Speech Lang.
, vol.19
, pp. 171-204
-
-
van Uytsel, D.1
van Aelten, F.2
van Compernolle, D.3
-
34
-
-
84962910925
-
-
Van Uytsel, D., Van Compernolle, D., Wambacq, P.: Maximum-likelihood training of the PLCG-based language model. In: Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop 2001 (ASRU'01) (2001)
-
Van Uytsel, D., Van Compernolle, D., Wambacq, P.: Maximum-likelihood training of the PLCG-based language model. In: Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop 2001 (ASRU'01) (2001).
-
-
-
-
35
-
-
84976712072
-
Probabilistic languages: A review and some open questions
-
Wetherell, C.S.: Probabilistic languages: a review and some open questions. Comput. Surv. 12(4), 361-379 (1980).
-
(1980)
Comput. Surv.
, vol.12
, Issue.4
, pp. 361-379
-
-
Wetherell, C.S.1
-
36
-
-
1242265129
-
-
Zhou, N.F., Sato, T.: Efficient fixpoint computation in linear tabling. In: Proceedings of the 5th ACM-SIGPLAN International Conference on Principles and Practice of Declarative Programming (PPDP'03), pp. 275-283 (2003)
-
Zhou, N.F., Sato, T.: Efficient fixpoint computation in linear tabling. In: Proceedings of the 5th ACM-SIGPLAN International Conference on Principles and Practice of Declarative Programming (PPDP'03), pp. 275-283 (2003).
-
-
-
|