Recognition of table of contents for electronic library consulting, International Journal on Document Analysis and Recognition, vol.4, issue.1, pp.35-45, 2001. ,
DOI : 10.1007/PL00013572
Bayesian network modeling of hangul characters for on-line handwriting recognition, Proceedings of the IAPR International Conference on Document Analysis and Recognition, pp.207-2011, 2003. ,
Approximating discrete probability distributions with dependence trees, IEEE Transactions on Information Theory, vol.14, issue.3, pp.462-467, 1968. ,
DOI : 10.1109/TIT.1968.1054142
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.133.9772
The relationship between Precision-Recall and ROC curves, Proceedings of the 23rd international conference on Machine learning , ICML '06, pp.233-240, 2006. ,
DOI : 10.1145/1143844.1143874
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.98.4362
Bayesian network model for semi-structured document classification, Information Processing & Management, vol.40, issue.5, pp.807-827, 2004. ,
DOI : 10.1016/j.ipm.2004.04.009
URL : https://hal.archives-ouvertes.fr/hal-01172241
Learning the tree augmented naive bayes classifier from incomplete datasets, Proceedings of European Workshop on Probabilistic Graphical Models, pp.91-98, 2006. ,
Building classifiers using bayesian networks, Proceedings of the national conference on Artificial intelligence, pp.1277-1284, 1996. ,
Bayesian network classifiers, pp.131-163, 1997. ,
A comparative study between decision fusion and data fusion in Markovian printed character recognition, Object recognition supported by user interaction for service robots, pp.147-150, 2002. ,
DOI : 10.1109/ICPR.2002.1047816
Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis, Information Sciences, vol.259, pp.252-268, 2014. ,
DOI : 10.1016/j.ins.2013.09.003
Development of Template-Free Form Recognition System, 2011 International Conference on Document Analysis and Recognition, pp.237-241, 2011. ,
DOI : 10.1109/ICDAR.2011.56
Development of Template-Free Form Recognition System, 2011 International Conference on Document Analysis and Recognition, pp.237-241, 2011. ,
DOI : 10.1109/ICDAR.2011.56
Introduction to Bayesian Networks, 1996. ,
Bayesian updating in causal probabilistic networks by local computations, Computational Statistics Quaterly, vol.4, pp.269-282, 1990. ,
Learning Tree Augmented Naive Bayes for Ranking, Database Systems for Advanced Applications, pp.688-698, 2005. ,
DOI : 10.1007/11408079_63
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.245
Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate, 2007. ,
DOI : 10.1007/978-3-540-74205-0_52
Advanced Intelligent Computing Theories and Applications, With Aspects of Artificial Intelligence Lecture Notes in Computer Science, vol.4682, pp.475-484 ,
A Novel Bayes Model: Hidden Naive Bayes, IEEE Transactions on Knowledge and Data Engineering, vol.21, issue.10, pp.1361-1371, 2009. ,
DOI : 10.1109/TKDE.2008.234
DISCRIMINATIVELY WEIGHTED NAIVE BAYES AND ITS APPLICATION IN TEXT CLASSIFICATION, International Journal on Artificial Intelligence Tools, vol.21, issue.01, 2012. ,
DOI : 10.1142/S0218213011004770
Bayesian Citation-KNN with distance weighting, International Journal of Machine Learning and Cybernetics, vol.20, issue.1, pp.1-7, 2013. ,
DOI : 10.1007/s13042-013-0152-x
A Statistical Method for an Automatic Detection of Form Types, Proceedings of International Workshop on Document Analysis Systems, pp.84-98, 1998. ,
DOI : 10.1007/3-540-48172-9_8
Learning augmented bayesian classifiers: A comparison of distribution-based and classification-based approaches, Proceedings of the seventh international workshop on artificial intelligence and statistics, pp.225-230, 1999. ,
An analysis of bayesian classifiers, AAAI, pp.223-228, 1992. ,
Recognition of degraded characters using dynamic Bayesian networks, Pattern Recognition, vol.41, issue.10, pp.41-3092, 2008. ,
DOI : 10.1016/j.patcog.2008.03.022
Combination of dynamic Bayesian network classifiers for the recognition of degraded characters, Document Recognition and Retrieval XVI, pp.1-10, 2009. ,
DOI : 10.1117/12.805471
ndexation de structures de documents par rseaux baysiens, pp.163-178, 2010. ,
Learning Bayesian Networks, 2004. ,
DOI : 10.1016/B978-012370477-1.50021-9
Probabilistic reasoning in intelligent systems: networks of plausible inference, 1988. ,
Bayesian Networks Learning Algorithms for Online Form Classification, 2010 20th International Conference on Pattern Recognition, pp.1981-1984, 2010. ,
DOI : 10.1109/ICPR.2010.488
URL : https://hal.archives-ouvertes.fr/inria-00525546
Un modle pour la recherche d'information sur des documents structurs, Journes internationales d'Analyse statistique des Donnes Textuelles (JADT), 20002. ,
Artificial Intelligence: A Modern Approach, 2003. ,
RELATIVE POSITIONING OF STROKE-BASED CLUSTERING: A NEW APPROACH TO ONLINE HANDWRITTEN DEVANAGARI CHARACTER RECOGNITION, International Journal of Image and Graphics, vol.12, issue.02, p.1250016, 2012. ,
DOI : 10.1142/S0219467812500167
Machine learning in automated text categorization, ACM Computing Surveys, vol.34, issue.1, pp.1-47, 2002. ,
DOI : 10.1145/505282.505283
Bayesian networks classifiers applied to documents, Object recognition supported by user interaction for service robots, p.483, 2002. ,
DOI : 10.1109/ICPR.2002.1044769
Causation, Prediction, and Search, 2001. ,
DOI : 10.1007/978-1-4612-2748-9
A variational Bayesian framework for group feature selection, International Journal of Machine Learning and Cybernetics, vol.8, issue.3, pp.609-619, 2013. ,
DOI : 10.1007/s13042-012-0121-9
Form recognition from ink strokes on tablet, Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, DAS '10, pp.293-300, 2010. ,
DOI : 10.1145/1815330.1815368
URL : https://hal.archives-ouvertes.fr/hal-00495467
Multivariate control charts with a bayesian network, ICINCO-ICSO, pp.228-233, 2007. ,
URL : https://hal.archives-ouvertes.fr/inria-00517017
Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes, IEEE Transactions on Cybernetics, vol.44, issue.1, pp.21-39, 2014. ,
DOI : 10.1109/TCYB.2013.2245891
Not So Naive Bayes: Aggregating One-Dependence Estimators, Machine Learning, pp.5-24, 2005. ,
DOI : 10.1007/s10994-005-4258-6
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.7847
Bayesian network, a model for NLP?, Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations on, EACL '06, pp.195-198, 2006. ,
DOI : 10.3115/1608974.1609007
URL : https://hal.archives-ouvertes.fr/hal-00095189
Understand the effects of erroneous annotations produced by nlp pipelines, a case study on the pronominal anaphora resolution, Traitement Automatique des Langues, vol.52, issue.1, pp.161-185, 2011. ,
An Efficient Data Mining Method for Learning Bayesian Networks Using an Evolutionary Algorithm-Based Hybrid Approach, IEEE Transactions on Evolutionary Computation, vol.8, issue.4, pp.378-404, 2004. ,
DOI : 10.1109/TEVC.2004.830334
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.197.5249