-
1
-
-
0000431299
-
Stochastic attribute-value grammars
-
Abney, S. (1997). Stochastic Attribute-Value Grammars. Computational Linguistics, 23(4), 597-618.
-
(1997)
Computational Linguistics
, vol.23
, Issue.4
, pp. 597-618
-
-
Abney, S.1
-
2
-
-
85077326659
-
Relating probabilistic grammars and automata
-
Morgan Kaufmann
-
Abney, S., McAllester, D., & Pereira, F. (1999). Relating probabilistic grammars and automata. In Proceedings of 37th Annual Meeting of the Association for Computational Linguistics (ACL-1999), pp. 542-549. Morgan Kaufmann.
-
(1999)
Proceedings of 37th Annual Meeting of the Association for Computational Linguistics (ACL-1999)
, pp. 542-549
-
-
Abney, S.1
McAllester, D.2
Pereira, F.3
-
3
-
-
0242456818
-
Relational Markov models and their application to adaptive web navigation
-
Edmonton, Canada. ACM Press
-
Anderson, C., Domingos, P., & Weld, D. (2002). Relational Markov Models and their Application to Adaptive Web Navigation. In Proceedings of the Eighth International Conference on Knowledge Discovery and Data Mining (KDD-2002), pp. 143-152 Edmonton, Canada. ACM Press.
-
(2002)
Proceedings of the Eighth International Conference on Knowledge Discovery and Data Mining (KDD-2002)
, pp. 143-152
-
-
Anderson, C.1
Domingos, P.2
Weld, D.3
-
6
-
-
0001862769
-
An inequality and associated maximization technique in statistical estimation for probabilistic functions of markov processes
-
Baum, L. (1972). An inequality and associated maximization technique in statistical estimation for probabilistic functions of markov processes. Inequalities, 3, 1-8.
-
(1972)
Inequalities
, vol.3
, pp. 1-8
-
-
Baum, L.1
-
7
-
-
84947417220
-
Term comparison in first-order similarity measures
-
Proceedings of the Eigth International Conference on Inductive Logic Programming (ILP-98), Springer
-
Bohnebeck, U., Horváth, T., & Wrobel, S. (1998). Term comparison in first-order similarity measures. In Proceedings of the Eigth International Conference on Inductive Logic Programming (ILP-98), Vol. 1446 of LNCS, pp. 65-79. Springer.
-
(1998)
LNCS
, vol.1446
, pp. 65-79
-
-
Bohnebeck, U.1
Horváth, T.2
Wrobel, S.3
-
9
-
-
0035399493
-
Stochastic inference of regular tree languages
-
Carrasco, R., Oncina, J., & Calera-Rubio, J. (2001). Stochastic inference of regular tree languages. Machine Learning, 44(1/2), 185-197.
-
(2001)
Machine Learning
, vol.44
, Issue.1-2
, pp. 185-197
-
-
Carrasco, R.1
Oncina, J.2
Calera-Rubio, J.3
-
10
-
-
0348129526
-
The ASTRAL compendium in 2004
-
Chandonia, J., Hon, G., Walker, N., Lo Conte, L., P.Koehl, & Brenner, S. (2004). The ASTRAL compendium in 2004. Nucleic Acids Research, 32, D189-D192.
-
(2004)
Nucleic Acids Research
, vol.32
-
-
Chandonia, J.1
Hon, G.2
Walker, N.3
Lo Conte, L.4
Koehl, P.5
Brenner, S.6
-
12
-
-
18544371909
-
Probabilistic logic learning
-
De Raedt, L., & Kersting, K. (2003). Probabilistic Logic Learning. ACM-SIGKDD Explorations: Special issue on Multi-Relational Data Mining, 5(1), 31-48.
-
(2003)
ACM-SIGKDD Explorations: Special Issue on Multi-relational Data Mining
, vol.5
, Issue.1
, pp. 31-48
-
-
De Raedt, L.1
Kersting, K.2
-
13
-
-
22944487297
-
Probabilistic inductive logic programming
-
Ben-David, S., Case, J., & Maruoka, A. (Eds.), Proceedings of the 15th International Conference on Algorithmic Learning Theory (ALT-2004), Padova, Italy. Springer
-
De Raedt, L., & Kersting, K. (2004). Probabilistic Inductive Logic Programming. In Ben-David, S., Case, J., & Maruoka, A. (Eds.), Proceedings of the 15th International Conference on Algorithmic Learning Theory (ALT-2004), Vol. 3244 of LNCS, pp. 19-36 Padova, Italy. Springer.
-
(2004)
LNCS
, vol.3244
, pp. 19-36
-
-
De Raedt, L.1
Kersting, K.2
-
14
-
-
0003516147
-
-
Cambridge University Press
-
Durbin, R., Eddy, S., Krogh, A., &: Mitchison, G. (1998). Biological sequence analysis: Probabilistic models of proteins and nucleic acids. Cambridge University Press.
-
(1998)
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
-
-
Durbin, R.1
Eddy, S.2
Krogh, A.3
Mitchison, G.4
-
15
-
-
0011177327
-
-
Džeroski, S., & Lavrač, N. (Eds.). Springer-Verlag, Berlin
-
Džeroski, S., & Lavrač, N. (Eds.). (2001). Relational data mining. Springer-Verlag, Berlin.
-
(2001)
Relational Data Mining
-
-
-
16
-
-
0028272315
-
RNA sequence analysis using covariance models
-
Eddy, S., & Durbin, R. (1994). RNA sequence analysis using covariance models. Nucleic Acids Res., 22(11), 2079-2088.
-
(1994)
Nucleic Acids Res.
, vol.22
, Issue.11
, pp. 2079-2088
-
-
Eddy, S.1
Durbin, R.2
-
17
-
-
84875622119
-
Towards probabilistic extensions of contraint-based grammars
-
Dörne, J. (Ed.), DYNA-2 deliverable R1.2.B
-
Eisele, A. (1994). Towards probabilistic extensions of contraint-based grammars. In Dörne, J. (Ed.), Computational Aspects of Constraint-Based Linguistics Decription-II. DYNA-2 deliverable R1.2.B.
-
(1994)
Computational Aspects of Constraint-based Linguistics Decription-II
-
-
Eisele, A.1
-
18
-
-
0032119668
-
The hierarchical hidden markov model: Analysis and applications
-
Fine, S., Singer, Y., & Tishby, N. (1998). The hierarchical hidden markov model: analysis and applications. Machine Learning, 32, 41-62.
-
(1998)
Machine Learning
, vol.32
, pp. 41-62
-
-
Fine, S.1
Singer, Y.2
Tishby, N.3
-
19
-
-
0036498206
-
Hidden markov models for text categorization in multi-page documents
-
Frasconi, P., Soda, G., & Vullo, A. (2002). Hidden markov models for text categorization in multi-page documents. Journal of Intelligent Information Systems, 18, 195-217.
-
(2002)
Journal of Intelligent Information Systems
, vol.18
, pp. 195-217
-
-
Frasconi, P.1
Soda, G.2
Vullo, A.3
-
20
-
-
84880688943
-
Learning probabilistic relational models
-
Morgan Kaufmann
-
Friedman, N., Getoor, L., Koller, D., & Pfeffer, A. (1999). Learning probabilistic relational models. In Proceedings of Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-1999), pp. 1300-1307. Morgan Kaufmann.
-
(1999)
Proceedings of Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-1999)
, pp. 1300-1307
-
-
Friedman, N.1
Getoor, L.2
Koller, D.3
Pfeffer, A.4
-
22
-
-
0031268341
-
Factorial hidden Markov models
-
Ghahramani, Z., & Jordan, M. (1997). Factorial hidden Markov models. Machine Learning, 29, 245-273.
-
(1997)
Machine Learning
, vol.29
, pp. 245-273
-
-
Ghahramani, Z.1
Jordan, M.2
-
24
-
-
0013420742
-
Using Unix: Collected traces of 168 users
-
University of Calgary, Alberta
-
Greenberg, S. (1988). Using Unix: collected traces of 168 users. Tech. rep., Dept. of Computer Science, University of Calgary, Alberta.
-
(1988)
Tech. Rep., Dept. of Computer Science
-
-
Greenberg, S.1
-
26
-
-
0035312303
-
Relational instance-based learning with lists and terms
-
Horváth, T., Wrobel, S., & Bohnebeck, U. (2001). Relational Instance-Based learning with Lists and Terms. Machine Learning, 43(1/2), 53-80.
-
(2001)
Machine Learning
, vol.43
, Issue.1-2
, pp. 53-80
-
-
Horváth, T.1
Wrobel, S.2
Bohnebeck, U.3
-
27
-
-
0030792253
-
SCOP: A structural classification of proteins database
-
Hubbard, T., Murzin, A., Brenner, S., & Chotia, C. (1997). SCOP: a structural classification of proteins database. NAR, 27(1), 236-239.
-
(1997)
NAR
, vol.27
, Issue.1
, pp. 236-239
-
-
Hubbard, T.1
Murzin, A.2
Brenner, S.3
Chotia, C.4
-
28
-
-
33744483152
-
The learning shell: Automated macro construction
-
Jacobs, N., & Blockeel, H. (2001). The Learning Shell: Automated Macro Construction. In User Modeling 2001, pp. 34-43.
-
(2001)
User Modeling 2001
, pp. 34-43
-
-
Jacobs, N.1
Blockeel, H.2
-
30
-
-
0023312404
-
Estimation of probabilities from sparse data for hte language model component of a speech recognizer
-
Katz, S. (1987). Estimation of probabilities from sparse data for hte language model component of a speech recognizer. IEEE Transactions on Acoustics, Speech, and Signal Processing (ASSP), 35, 400-401.
-
(1987)
IEEE Transactions on Acoustics, Speech, and Signal Processing (ASSP)
, vol.35
, pp. 400-401
-
-
Katz, S.1
-
31
-
-
84937413409
-
Adaptive bayesian logic programs
-
Rouveirol, C., & Sebag, M. (Eds.), Proceedings of the 11th International Conference on Inductive Logic Programming (ILP-01), Springer
-
Kersting, K., & De Raedt, L. (2001a). Adaptive Bayesian Logic Programs. In Rouveirol, C., & Sebag, M. (Eds.), Proceedings of the 11th International Conference on Inductive Logic Programming (ILP-01), Vol. 2157 of LNAI, pp. 118-131. Springer.
-
(2001)
LNAI
, vol.2157
, pp. 118-131
-
-
Kersting, K.1
De Raedt, L.2
-
32
-
-
84949187512
-
Towards combining inductive logic programming with bayesian networks
-
Rouveirol, C., & Sebag, M. (Eds.), Proceedings of the 11th International Conference on Inductive Logic Programming (ILP-01), Springer
-
Kersting, K., & De Raedt, L. (2001b). Towards Combining Inductive Logic Programming with Bayesian Networks. In Rouveirol, C., & Sebag, M. (Eds.), Proceedings of the 11th International Conference on Inductive Logic Programming (ILP-01), Vol. 2157 of LNAI, pp. 118-131. Springer.
-
(2001)
LNAI
, vol.2157
, pp. 118-131
-
-
Kersting, K.1
De Raedt, L.2
-
33
-
-
33744459255
-
'Say EM' for selecting probabilistic models for logical sequences
-
Bacchus, F., & Jaakkola, T. (Eds.), Edinburgh, Scotland
-
Kersting, K., & Raiko, T. (2005). 'Say EM' for Selecting Probabilistic Models for Logical Sequences. In Bacchus, F., & Jaakkola, T. (Eds.), Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence, UAI 2005, pp. 300-307 Edinburgh, Scotland.
-
(2005)
Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence, UAI 2005
, pp. 300-307
-
-
Kersting, K.1
Raiko, T.2
-
34
-
-
0041627863
-
Towards discovering structural signatures of protein folds based on logical hidden markov models
-
In Altman, R., Dunker, A., Hunter, L., Jung, T., & Klein, T. (Eds.), Kauai, Hawaii, USA. World Scientific
-
Kersting, K., Raiko, T., Kramer, S., & De Raedt, L. (2003). Towards discovering structural signatures of protein folds based on logical hidden markov models. In Altman, R., Dunker, A., Hunter, L., Jung, T., & Klein, T. (Eds.), Proceedings of the Pacific Symposium on Biocomputing (PSB-03), pp. 192-203 Kauai, Hawaii, USA. World Scientific.
-
(2003)
Proceedings of the Pacific Symposium on Biocomputing (PSB-03)
, pp. 192-203
-
-
Kersting, K.1
Raiko, T.2
Kramer, S.3
De Raedt, L.4
-
35
-
-
22944476140
-
Hidden markov modelling techniques for haplotype analysis
-
Ben-David, S., Case, J., & Maruoka, A. (Eds.), Proceedings of 15th International Conference on Algorithmic Learning Theory (ALT-04), Springer
-
Koivisto, M., Kivioja, T., Mannila, H., Rastas, P., & Ukkonen, E. (2004). Hidden Markov Modelling Techniques for Haplotype Analysis. In Ben-David, S., Case, J., & Maruoka, A. (Eds.), Proceedings of 15th International Conference on Algorithmic Learning Theory (ALT-04), Vol. 3244 of LNCS, pp. 37-52. Springer.
-
(2004)
LNCS
, vol.3244
, pp. 37-52
-
-
Koivisto, M.1
Kivioja, T.2
Mannila, H.3
Rastas, P.4
Ukkonen, E.5
-
36
-
-
0041989761
-
An MDL method for finding haplotype blocks and for estimating the strength of haplotype block boundaries
-
Altman, R., Dunker, A., Hunter, L., Jung, T., & Klein, T. (Eds.), World Scientific
-
Koivisto, M., Perola, M., Varilo, T., Hennah, W., Ekelund, J., Lukk, M., Peltonen, L., Ukkonen, E., & Mannila, H. (2002). An MDL method for finding haplotype blocks and for estimating the strength of haplotype block boundaries. In Altman, R., Dunker, A., Hunter, L., Jung, T., & Klein, T. (Eds.), Proceedings of the Pacific Symposium on Biocomputing (PSB-02), pp. 502-513. World Scientific.
-
(2002)
Proceedings of the Pacific Symposium on Biocomputing (PSB-02)
, pp. 502-513
-
-
Koivisto, M.1
Perola, M.2
Varilo, T.3
Hennah, W.4
Ekelund, J.5
Lukk, M.6
Peltonen, L.7
Ukkonen, E.8
Mannila, H.9
-
38
-
-
0030333286
-
A generalized hidden markov model for the recognition of human genes in DNA
-
States, D., Agarwal, P., Gaasterland, T., Hunter, L., & Smith, R. (Eds.), St. Louis, MO, USA. AAAI
-
Kulp, D., Haussler, D., Reese, M., & Eeckman, F. (1996). A Generalized Hidden Markov Model for the Recognition of Human Genes in DNA. In States, D., Agarwal, P., Gaasterland, T., Hunter, L., & Smith, R. (Eds.), Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology, (ISMB-96), pp. 134-142 St. Louis, MO, USA. AAAI.
-
(1996)
Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology, (ISMB-96)
, pp. 134-142
-
-
Kulp, D.1
Haussler, D.2
Reese, M.3
Eeckman, F.4
-
39
-
-
0002979739
-
Hidden markov models for human/computer interface modeling
-
Rudström, Å. (Ed.), Stockholm, Sweden
-
Lane, T. (1999). Hidden Markov Models for Human/Computer Interface Modeling. In Rudström, Å. (Ed.), Proceedings of the IJCAI-99 Workshop on Learning about Users, pp. 35-44 Stockholm, Sweden.
-
(1999)
Proceedings of the IJCAI-99 Workshop on Learning about Users
, pp. 35-44
-
-
Lane, T.1
-
40
-
-
0002532056
-
The estimation of stochastic context-free grammars using the inside-outside algorithm
-
Lari, K., & Young, S. (1990). The estimation of stochastic context-free grammars using the inside-outside algorithm. Computer Speech and Language, 4, 35-56.
-
(1990)
Computer Speech and Language
, vol.4
, pp. 35-56
-
-
Lari, K.1
Young, S.2
-
41
-
-
0010754797
-
Skeletal structural descriptions
-
Levy, L., & Joshi, A. (1978). Skeletal structural descriptions. Information and Control, 2(2), 192-211.
-
(1978)
Information and Control
, vol.2
, Issue.2
, pp. 192-211
-
-
Levy, L.1
Joshi, A.2
-
43
-
-
0004255908
-
-
The McGraw-Hill Companies, Inc.
-
Mitchell, T. M. (1997). Machine Learning. The McGraw-Hill Companies, Inc.
-
(1997)
Machine Learning
-
-
Mitchell, T.M.1
-
44
-
-
0002205343
-
Stochastic logic programs
-
De Raedt, L. (Ed.), IOS Press
-
Muggleton, S. (1996). Stochastic logic programs. In De Raedt, L. (Ed.), Advances in Inductive Logic Programming, pp. 254-264. IOS Press.
-
(1996)
Advances in Inductive Logic Programming
, pp. 254-264
-
-
Muggleton, S.1
-
45
-
-
0028429573
-
Inductive logic programming: Theory and methods
-
Muggleton, S., & De Raedt, L. (1994). Inductive logic programming: Theory and methods. Journal of Logic Programming, 19(20), 629-679.
-
(1994)
Journal of Logic Programming
, vol.19
, Issue.20
, pp. 629-679
-
-
Muggleton, S.1
De Raedt, L.2
-
46
-
-
0030737325
-
Answering queries from context-sensitive probabilistic knowledge bases
-
Ngo, L., & Haddawy, P. (1997). Answering queries from context-sensitive probabilistic knowledge bases. Theoretical Computer Science, 171, 147-177.
-
(1997)
Theoretical Computer Science
, vol.171
, pp. 147-177
-
-
Ngo, L.1
Haddawy, P.2
-
48
-
-
0022594196
-
An introduction to hidden Markov models
-
Rabiner, L., & Juang, B. (1986). An Introduction to Hidden Markov Models. IEEE ASSP Magazine, 5(1), 4-16.
-
(1986)
IEEE ASSP Magazine
, vol.5
, Issue.1
, pp. 4-16
-
-
Rabiner, L.1
Juang, B.2
-
49
-
-
80053348976
-
Statistical inference and probabilistic modelling for constraint-based nip
-
Schrder, B., Lenders, W., & und T. Portele, W. H. (Eds.), Also as CoRR cs.CL/9905010
-
Riezler, S. (1998). Statistical inference and probabilistic modelling for constraint-based nip. In Schrder, B., Lenders, W., & und T. Portele, W. H. (Eds.), Proceedings of the 4th Conference on Natural Language Processing (KONVENS-98). Also as CoRR cs.CL/9905010.
-
(1998)
Proceedings of the 4th Conference on Natural Language Processing (KONVENS-98)
-
-
Riezler, S.1
-
50
-
-
0026839284
-
Efficient learning of context-free grammars from positive structural examples
-
Sakakibara, Y. (1992). Efficient learning of context-free grammars from positive structural examples. Information and Computation, 97(1), 23-60.
-
(1992)
Information and Computation
, vol.97
, Issue.1
, pp. 23-60
-
-
Sakakibara, Y.1
-
51
-
-
4944232234
-
Pair hidden markov models on tree structures
-
Sakakibara, Y. (2003). Pair hidden markov models on tree structures. Bioinformatics, 19(Suppl.1), 1232-1240.
-
(2003)
Bioinformatics
, vol.19
, Issue.1 SUPPL.
, pp. 1232-1240
-
-
Sakakibara, Y.1
-
52
-
-
0028593508
-
Stochastic context-free grammars for tRNA modelling
-
Sakakibara, Y., Brown, M., Hughey, R., Mian, I., Sjolander, K., & Underwood, R. (1994). Stochastic context-free grammars for tRNA modelling. Nucleic Acids Research, 22(23), 5112-5120.
-
(1994)
Nucleic Acids Research
, vol.22
, Issue.23
, pp. 5112-5120
-
-
Sakakibara, Y.1
Brown, M.2
Hughey, R.3
Mian, I.4
Sjolander, K.5
Underwood, R.6
-
53
-
-
84880816720
-
Dynamic probabilistic relational models
-
Gottlob, G., & Walsh, T. (Eds.), Acapulco, Mexico. Morgan Kaufmann
-
Sanghai, S., Domingos, P., & Weld, D. (2003). Dynamic probabilistic relational models. In Gottlob, G., & Walsh, T. (Eds.), Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03), pp. 992-997 Acapulco, Mexico. Morgan Kaufmann.
-
(2003)
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03)
, pp. 992-997
-
-
Sanghai, S.1
Domingos, P.2
Weld, D.3
-
54
-
-
4444281941
-
Parameter learning of logic programs for symbolic-statistical modeling
-
Sato, T., & Kameya, Y. (2001). Parameter learning of logic programs for symbolic-statistical modeling. Journal of Artificial Intelligence Research (JAIR), 15, 391-454.
-
(2001)
Journal of Artificial Intelligence Research (JAIR)
, vol.15
, pp. 391-454
-
-
Sato, T.1
Kameya, Y.2
-
55
-
-
9444231648
-
Learning and parsing stochastic unification-based grammars
-
Schölkopf, B., & Warmuth, M. (Eds.). Springer
-
Schölkopf, B., & Warmuth, M. (Eds.). (2003). Learning and Parsing Stochastic Unification-Based Grammars, Vol. 2777 of LNCS. Springer.
-
(2003)
LNCS
, vol.2777
-
-
-
56
-
-
0035312292
-
The effect of relational background knowledge on learning of protein three-dimensional fold signatures
-
Turcotte, M., Muggleton, S., & Sternberg, M. (2001). The effect of relational background knowledge on learning of protein three-dimensional fold signatures. Machine Learning, 43(1/2), 81-95.
-
(2001)
Machine Learning
, vol.43
, Issue.1-2
, pp. 81-95
-
-
Turcotte, M.1
Muggleton, S.2
Sternberg, M.3
-
57
-
-
31744440287
-
The block hidden Markov model for biological sequence analysis
-
Negoita, M., Howlett, R., & Jain, L. (Eds.), Proceedings of the Eighth International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES-04), Springer
-
Won, K., Prügel-Bennett, A., & Krogh, A. (2004). The Block Hidden Markov Model for Biological Sequence Analysis. In Negoita, M., Howlett, R., & Jain, L. (Eds.), Proceedings of the Eighth International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES-04), Vol. 3213 of LNCS, pp. 64-70. Springer.
-
(2004)
LNCS
, vol.3213
, pp. 64-70
-
-
Won, K.1
Prügel-Bennett, A.2
Krogh, A.3
|