Machine Learning and Data Mining in Pattern Recognition

Learning in the context of a pattern recognition system is de ned as the process that allows it to cope with real and ambiguous data The various ways by which arti cial decision systems operate are discussed in conjunction with their learning aspects

[1]  Donato Malerba,et al.  Processing Paper Documents with WISDOM , 1997, AI*IA.

[2]  Donato Malerba,et al.  A Multistrategy Approach to Learning Multiple Dependent Concepts , 1996 .

[3]  Donato Malerba,et al.  Multistrategy Learning for Document Recognition , 1994, Appl. Artif. Intell..

[4]  Donato Malerba,et al.  Learning Recursive Theories with ATRE , 1998, ECAI.

[5]  Donato Malerba,et al.  A Comparative Analysis of Methods for Pruning Decision Trees , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[7]  Andreas Dengel,et al.  ANASTASIL: A Hybrid Knowledge-Based System for Document Layout Analysis , 1989, IJCAI.

[8]  Mahesh Viswanathan,et al.  A prototype document image analysis system for technical journals , 1992, Computer.

[9]  Donato Malerba,et al.  An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[10]  Donato Malerba,et al.  Adding machine learning and knowledge intensive techniques to a digital library service , 1998, International Journal on Digital Libraries.

[11]  Frank Y. Shih,et al.  Adaptive document block segmentation and classification , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[12]  Sargur N. Srihari,et al.  Representing OCRed documents in HTML , 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.

[13]  L. O'Gorman Image and document processing techniques for the RightPages electronic library system , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

[14]  Michael Brady,et al.  Generating and Generalizing Models of Visual Objects , 1987, Artif. Intell..

[15]  S.C. Hinds,et al.  A rule-based system for document image segmentation , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[16]  Donato Malerba,et al.  A knowledge-based approach to the layout analysis , 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

[17]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[18]  Yuan Yan Tang,et al.  Document Processing for Automatic Knowledge Acquisition , 1994, IEEE Trans. Knowl. Data Eng..

[19]  Paul E. Utgoff,et al.  An Improved Algorithm for Incremental Induction of Decision Trees , 1994, ICML.

[20]  Donato Malerba,et al.  Handling Continuous Data in Top-Down Induction of First-Order Rules , 1997, AI*IA.