Incremental multistrategy learning for document processing

Applied Artificial Intelligence

Volumn 17, Issue 8-9, 2003, Pages 859-883

  Esposito, Floriana ^a   Ferilli, Stefano ^a   Fanizzi, Nicola ^a   Basile, Teresa M A ^a   Di Mauro, Nicola ^a  

^a UNIVERSITY OF BARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SUPPORTED COOPERATIVE WORK; CONTENT BASED RETRIEVAL; DATA PROCESSING; DIGITAL LIBRARIES; SOCIAL SCIENCES; WORLD WIDE WEB;

CULTURAL HERITAGE; DOCUMENT PROCESSING; INCREMENTAL MULTISTRATEGY LEARNING; INCREMENTAL THEORY LEARNER FROM EXAMPLES; INFERENTIAL LEARNING THEORY;

LEARNING SYSTEMS;

EID: 0242498530     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/713827255     Document Type: Article

References (16)

1. Becker, J. M. 1985, Inductive Learning of Decision Rules with Exceptions: Methodology and Experimentation. B.S. Dissertation, Dept. of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, UIUCDCS-F-85-945.
2. Brocks, H., U. Thiel, A. Stein, and A. Dirsch-Weigand. 2001. Customizable retrieval functions based on user tasks in the cultural heritage domain. In Research and Advanced Technology for Digital Libraries, number 2163 in LNCS, eds. P. Constantopoulos and I. T. S_lvberg. Berlin: Springer-Verlag.
3. Esposito, F., D. Malerba, and G. Semeraro. 1994. A multistrategy learning approach to document recognition. Applied Artificial Intelligence: an International Journal 8:33-84.
4. Esposito, F., D. Malerba, G. Semeraro, N. Fanizzi, and S. Ferilli. 1998. Adding machine learning and knowledge intensive techniques to a digital library service. International Journal on Digital Libraries 2(1):3-19.
5. Esposito, F., G. Semeraro, N. Fanizzi, and S. Ferilli. 2000a. Multistrategy theory revision: Induction and abduction in INTHELEX. Machine Learning Journal 38(1/2):133-156.
6. Esposito, F., D. Malerba, and F. A. Lisi. 2000b. Machine learning for intelligent processing of printed documents. Journal of Intelligent Information Systems 14(2/3):175-198.
7. Esposito, F., N. Fanizzi, S. Ferilli, and G. Semeraro. 2000c. Abduction and abstraction in inductive learning. In Proceedings of the 5th International Workshop on Multistrategy Learning, 181-185, MSL00, Guimaraes, Portugal.
8. Esposito, F., N. Fanizzi, S. Ferilli, and G. Semeraro. 2001. OI-implication: Soundness and refutation completeness. In Proceedings of the 17th International Joint Conference on Artificial Intelligence, IJCAI01, ed. B. Nebel, pages 847-852, San Francisco, CA. Morgan Kaufmann Publishers.
9. Ferilli, S. 2000. A Framework for Incremental Synthesis of Logic Theories: An Application to Document Processing. Ph.D. thesis, Dipartimento di Informatica, Università di Bari, Italy.
10. Kouzes, R. T., J. D. Myers, and W. A. Wulf. 1996. Collaboratories: Doing science on the Internet. IEEE Computer 29(8).
11. Lamma, E., P. Mello, F. Riguzzi, F. Esposito, S. Ferilli, and G. Semeraro. 2000. Cooperation of abduction and induction in logic programming. In Abductive and Inductive Reasoning: Essays on their Relation and Integration, 233-252, eds. A. C. Kakas and P. Flach. Amsterdam: Kluwer.
12. Lloyd, J. W. 1987. Foundations of Logic Programming, second edition. Berlin: Springer verlag.
13. Michalski, R. S. 1994. Inferential theory of learning: Developing foundations for multistrategy learning. In Machine Learning. A Multistrategy Approach, volume IV, eds. R. S. Michalski and G. Tecuci, 3-61. San Mateo, CA: Morgan Kaufmann.
14. Semeraro, G., F. Esposito, D. Malerba, N. Fanizzi, and S. Ferilli. 1998. A logic framework for the incremental inductive synthesis of datalog theories. In Logic Program Synthesis and Transformation, number 1463 in LNCS, 300-321, ed. N. E. Fuchs. Berlin: Springer-Verlag.
15. Semeraro, G., S. Ferilli, N. Fanizzi, and F. Esposito. 2001. Document classification and interpretation through the inference of logic-based models. In Research and Advanced Technology for Digital Libraries, number 2163 in LNCS, eds. P. Constantopoulos and I.T. S_lvberg, 59-70. Berlin: Springer-Verlag.
16. Zucker, J.-D. 1998. Semantic abstraction for concept representation and learning. In Proceedings of the 4th International Workshop on Multistrategy Learning, MSL98, eds. R. S. Michalski, and L. Saitta, Desenzano del Garda, Italy.