Search the dblp DataBase

Publications of Author

1. Roberto Esposito, Lorenza Saitta
   Boosting as a Monte Carlo Algorithm. [Citation Graph (0, 0)][DBLP]
   AI*IA, 2001, pp:11-19 [Conf]
   
2. Roberto Esposito, Lorenza Saitta
   Explaining Bagging with Monte Carlo Theory. [Citation Graph (0, 0)][DBLP]
   AI*IA, 2003, pp:189-200 [Conf]
   
3. Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta
   Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints. [Citation Graph (0, 0)][DBLP]
   AI*IA, 2005, pp:258-269 [Conf]
   
4. Rosa Meo, Marco Botta, Roberto Esposito, Arianna Gallo
   A Novel Incremental Approach to Association Rules Mining in Inductive Databases. [Citation Graph (0, 0)][DBLP]
   Constraint-Based Mining and Inductive Databases, 2004, pp:267-294 [Conf]
   
5. Rosa Meo, Pier Luca Lanzi, Maristella Matera, Danilo Careggio, Roberto Esposito
   Employing Inductive Databases in Concrete Applications. [Citation Graph (0, 0)][DBLP]
   Constraint-Based Mining and Inductive Databases, 2004, pp:295-327 [Conf]
   
6. Roberto Esposito
   Empirical Evaluation of the Effects of Concept Complexity on Generalization Error. [Citation Graph (0, 0)][DBLP]
   ECAI, 2004, pp:1009-1010 [Conf]
   
7. Rosa Meo, Marco Botta, Roberto Esposito
   Query Rewriting in Itemset Mining. [Citation Graph (0, 0)][DBLP]
   FQAS, 2004, pp:111-124 [Conf]
   
8. Roberto Esposito, Lorenza Saitta
   A Monte Carlo analysis of ensemble classification. [Citation Graph (0, 0)][DBLP]
   ICML, 2004, pp:- [Conf]
   
9. Roberto Esposito, Lorenza Saitta
   Experimental comparison between bagging and Monte Carlo ensemble classification. [Citation Graph (0, 0)][DBLP]
   ICML, 2005, pp:209-216 [Conf]
   
10. Roberto Esposito, Lorenza Saitta
    Monte Carlo Theory as an Explanation of Bagging and Boosting. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:499-504 [Conf]
    
11. Roberto Esposito, Lorenza Saitta
    Is a Greedy Covering Strategy an Extreme Boosting? [Citation Graph (0, 0)][DBLP]
    ISMIS, 2002, pp:94-102 [Conf]
    
12. Daniele P. Radicioni, Roberto Esposito
    A Conditional Model for Tonal Analysis. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:652-661 [Conf]
    
13. Roberto Esposito, Rosa Meo, Marco Botta
    Answering constraint-based mining queries on itemsets using previous materialized results. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2006, v:26, n:1, pp:95-111 [Journal]
    
14. Roberto Esposito, Daniele P. Radicioni
    Trip Around the HMPerceptron Algorithm: Empirical Findings and Theoretical Tenets. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2007, pp:242-253 [Conf]
    
15. Daniele P. Radicioni, Roberto Esposito
    Tonal Harmony Analysis: A Supervised Sequential Learning Approach. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2007, pp:638-649 [Conf]
    
16. Roberto Esposito, Daniele P. Radicioni
    CarpeDiem: an algorithm for the fast evaluation of SSL classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:257-264 [Conf]
    
17. Rosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito
    Integrating Web Conceptual Modeling and Web Usage Mining. [Citation Graph (0, 0)][DBLP]
    WebKDD, 2004, pp:135-148 [Conf]
    
18. 
    Empirical Assessment of Two Strategies for Optimizing the Viterbi Algorithm. [Citation Graph (, )][DBLP]
    
    
19. 
    Incremental Extraction of Association Rules in Applicative Domains. [Citation Graph (, )][DBLP]