Pier Luca Lanzi Homepage

Publications

• International Journals • Edited Volumes • Book Chapters • Refereed Conferences • Workshops • Theses • Supervised MSc Theses • Technical Reports • Software •

International Journals

• Cristiana Bolchini, Paolo Ferrandi, Pier Luca Lanzi, and Fabio Salice. Evolving classifiers on field programmable gate arrays: Migrating XCS to FPGAs. Journal of Systems Architecture, 52(8–9):516–533, August 2006. [BibTeX] [509.2kB pdf]
  
• Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Evolutionary Computation Journal, MIT Press, 2006. [BibTeX] [631.2kB pdf]
  
• Martin V. Butz, David E. Goldberg, and Pier Luca Lanzi. Gradient Descent Methods in Learning Classifier Systems: Improving XCS Performance in Multistep Problems. IEEE Transaction on Evolutionary Computation, 9(5):452–473, IEEE, October 2005. [BibTeX]  [1.9MB pdf]
  
• Federico Facca and Pier Luca Lanzi. Mining Interesting Knowledge from Weblogs: A Survey. Journal of Data and Knowledge Engineering, 53(3):225–241, 2005. [BibTeX]  [364.3kB pdf]
  
• Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, and Stewart W. Wilson. Toward a Theory of Generalization and Learning in XCS. IEEE Transaction on Evolutionary Computation, 8(1):28–46, IEEE, February 2004. [BibTeX] [931.5kB pdf]
  
• Piero Fraternali, Pier Luca Lanzi, Maristella Matera, and Andrea Maurino. Model-Driven Web Usage Analysis for The Evaluation of Web Application Quality. Journal of Web Engineering, 3(2):124–152, Rinton Press, 2004. [BibTeX] [519.4kB pdf]
  
• Pietro Di Gianantonio and Pier Luca Lanzi. Lazy Algorithms for Exact Real Arithmetic. Electronic Notes in Theoretical Computer Science, 104:113–128, Elsevier Science, 2004. [BibTeX]  [270.5kB pdf]
  
• Larry Bull, Pier Luca Lanzi, and Wolfgang Stolzmann. Learning Classifier Systems. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 6(3):143–143, Spriger-Verlag, Berlin, 2002. Editorial on the Special Issue of Soft Computing on Learning Classifier Systems [BibTeX]  [34.2kB pdf]
  
• John H. Holmes, Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson. Learning classifier systems: new models, successful applications. Information Processing Letters, 82(1):23–30, Elsevier, 2002. [BibTeX]  [152.9kB pdf]
  
• Pier Luca Lanzi and Alessandro Strada. A Statistical Analysis of the Trading Agent Competition 2001. SIGecom Exchanges. Newsletter of the ACM Special Interest Group on E-commerce, 3(2):1–8, ACM, 2002. [BibTeX]  [271.4kB pdf]
  
• Pier Luca Lanzi. Learning Classifier Systems from a Reinforcement Learning Perspective. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 6(3):162–170, Spriger-Verlag, Berlin, 2002. [BibTeX] [206.4kB pdf]
  
• Pier Luca Lanzi and Stewart W. Wilson. Toward optimal classifier system performance in non-Markov environments. Evolutionary Computation, 8(4):393–418, 2000. [BibTeX] 
  
• Pier Luca Lanzi. An Analysis of Generalization in the XCS Classifier System. Evolutionary Computation Journal, 7(2):125–149, MIT Press, 1999. [BibTeX]

Edited Volumes

• Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, and Andrew M. Tyrrell, editors. Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I, Lecture Notes in Computer Science, Springer, 2004. [BibTeX] [HTML] 
  
• Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, and Andrew M. Tyrrell, editors. Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part II, Lecture Notes in Computer Science, Springer, 2004. [BibTeX] [HTML] 
  
• Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors. Advances in Learning Classifier Systems. Fourth International Workshop, IWLCS 2002, Granada, Spain, USA, September, Lecture Notes in Computer Science, Springer-Verlag, 2004. [BibTeX] [HTML] 
  
• Rosa Meo, PierLuca Lanzi, and Mika Klemettinen, editors. Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, Lecture Notes in Computer Science, Springer-Verlag, 2004. [BibTeX] [HTML] 
  
• Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors. Advances in Learning Classifier Systems. Fourth International Workshop, IWLCS 2001, San Francisco (CA), USA, July 7-8, Lecture Notes in Computer Science, Springer-Verlag, 2002. [BibTeX] [HTML] 
  
• E.J.W. Boers, J. Gottlieb, P.L. Lanzi, R.E. Smith, S. Cagnoni, E. Hart, G.R. Raidl, and H. Tijink, editors. Applications of Evolutionary Computing. EvoWorkshops 2001. Como, Italy, April 18-20, Lecture Notes in Computer Science, Springer-Verlag, April 2001. [BibTeX] [HTML] 
  
• Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors. Advances in Learning Classifier Systems. Third International Workshop, IWLCS 2000, Paris, France, September 15-16, Lecture Notes in Computer Science, Springer-Verlag, April 2001. [BibTeX] [HTML] 
  
• J. Miller, M. Tomassini, P. L. Lanzi, Ryan, C., A. Tettamanzi, and W. B. Langdon, editors. Genetic Programming, 4th European Conference, (EuroGP 2001), Lecture Notes in Computer Science, Springer-Verlag, Lake Como, Italy, April 2001. [BibTeX] [HTML] 
  
• S. Cagnoni, R. Poli, G.D. Smith, D. Corne, M. Oates, E. Hart, P.L. Lanzi, E.J. Willem, Y. Li, B. Paechter, and Fogarty, editors. Real-World Applications of Evolutionary Computing. EvoWorkshops 2000. Edinburgh, Scotland, UK, April 17, 2000, Lecture Notes in Computer Science, Springer-Verlag, April 2000. [BibTeX] [HTML] 
  
• Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors. Learning Classifier Systems: From Foundations to Applications, Lecture Notes in Computer Science, Springer-Verlag, April 2000. [BibTeX] [HTML] 

Book Chapters

• Martin V. Butz, David E. Goldberg, and Pier Luca Lanzi. Computational Complexity of the XCS Classifier System. In Larry Bull and Tim Kovacs, editors, Foundations of Learning Classifier Systems, Studies in Fuzziness and Soft Computing, pp. 183–126, Springer, 2005. [BibTeX]    
  
• Pier Luca Lanzi. Learning Classifier Systems: A reinforcement Learning Perspective. In Larry Bull and Tim Kovacs, editors, Foundations of Learning Classifier Systems, Studies in Fuzziness and Soft Computing, pp. 267–284, Springer, 2005. [BibTeX]    
  
• Rosa Meo, Pier Luca Lanzi, Maristella Matera, Danilo Careggio, and Roberto Esposito. Employing Inductive Databases in Concrete Applications. In Jean-Fran\ccois Boulicaut, Luc De Raedt, and Heikki Mannila, editors, Constraint-Based Mining and Inductive Databases, Lecture Notes in Computer Science, pp. 295 – 327, Springer, 2005. [BibTeX]    
  
• Pier Luca Lanzi and Rick L. Riolo. Recent Trends in Learning Classifier Systems Research. In {Ashis Ghosh and Shigeyoshi Tsutsui}, editors, Advances in Evolutionary Computing: Theory and Applications, pp. 955–988, Spriger-Verlag, Berlin, 2003. [BibTeX]    
  
• Marco Colombetti and Pier Luca Lanzi. Developing rational agents. In L. Cantoni and V. Di Gesú, editors, Human and machine perception 3: Thinking, deciding, and acting, pp. 51–66, Kluwer Academic/Plenum Publishers, 2001. [BibTeX]    
  
• Tim Kovacs and Pier Luca Lanzi. A Bigger Learning Classifier Systems Bibliography. In Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors, Advances in Learning Classifier Systems. Third International Workshop, IWLCS 2000, Paris, France, September 15-16, Lecture notes in Computer Science, pp. 213–249, Springer-Verlag, April 2001. [BibTeX]    
  
• John H. Holland, Lashon B. Booker, Marco Colombetti, Marco Dorigo, David E. Goldberg, Stephanie Forrest, Rick L. Riolo, Robert E. Smith, Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson. What is a Learning Classifier System?. In Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors, Learning Classifier Systems. From Foundations to Applications, LNAI, pp. 3–32, Springer-Verlag, Berlin, 2000. [BibTeX]    
  
• Tim Kovacs and Pier Luca Lanzi. A Learning Classifier Systems Bibliography. In Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors, Learning Classifier Systems. From Foundations to Applications, We present a bibliography of all works we could find on Learning Classifier Systems (LCS) — the genetics-based machine learning systems introduced by John Holland. With over 400 entries, this is at present the largest bibliography on classifier systems in existence. We include a list of LCS resources on the world wide web., pp. 321–347, Springer-Verlag, Berlin, 2000. [BibTeX]    
  
• Pier Luca Lanzi and Rick L. Riolo. A Roadmap to the Last Decade of Learning Classifier System Research (from 1989 to 1999). In Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors, Learning Classifier Systems. From Foundations to Applications, LNAI, pp. 33–62, Springer-Verlag, Berlin, 2000. [BibTeX]    

Refereed Conferences

1. Martin V. Butz, Pier Luca Lanzi, and Stewart W. Wilson. Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. In GECCO ‘06: Proceedings of the 8th annual conference on Genetic and evolutionary computation, pp. 1457–1464, ACM Press, New York, NY, USA, 2006. [BibTeX]     [1.4MB pdf] 
   
2. Pier Luca Lanzi and Stewart W. Wilson. Using convex hulls to represent classifier conditions. In GECCO ‘06: Proceedings of the 8th annual conference on Genetic and evolutionary computation, pp. 1481–1488, ACM Press, New York, NY, USA, 2006.
   [BibTeX]     [756.5kB pdf] 

3. Pier Luca Lanzi and Daniele Loiacono. Standard and averaging reinforcement learning in XCS. In GECCO ‘06: Proceedings of the 8th annual conference on Genetic and evolutionary computation, pp. 1489–1496, ACM Press, New York, NY, USA, 2006. [BibTeX]     [pdf] 
   
4. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. Classifier prediction based on tile coding. In GECCO ‘06: Proceedings of the 8th annual conference on Genetic and evolutionary computation, pp. 1497–1504, ACM Press, New York, NY, USA, 2006. [BibTeX]     [478.3kB pdf] 
   
5. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. In GECCO ‘06: Proceedings of the 8th annual conference on Genetic and evolutionary computation, pp. 1505–1512, ACM Press, New York, NY, USA, 2006. [BibTeX]     [185.1kB pdf] 
   
6. Cristiana Bolchini, Fabrizio Ferrandi, Pier Luca Lanzi, and Fabio Salice. Toward an FPGA Implementation of XCS. In Proceedings of the IEEE Congress on Evolutionary Computation — CEC-2005, pp. 2053–2060, IEEE, Edinburgh, UK, September 2005. [BibTeX]     [1.4MB pdf] 
   
7. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. XCS with Computed Prediction in Continuous Multistep Environments. In Proceedings of the IEEE Congress on Evolutionary Computation — CEC-2005, pp. 2032–2039, IEEE, Edinburgh, UK, September 2005. [BibTeX]     [2.6MB pdf] 
   
8. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. XCS with Computed Prediction for the Learning of Boolean Functions. In Proceedings of the IEEE Congress on Evolutionary Computation — CEC-2005, pp. 588–595, IEEE, Edinburgh, UK, September 2005. [BibTeX]     [1.4MB pdf] 
   
9. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. XCS with Computed Prediction in Multistep Environments. In Genetic and Evolutionary Computation — GECCO-2005, pp. 1827–1834, ACM Press, Washington DC, USA, 2005. [BibTeX]     [316.5kB pdf] 
   
10. Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. Extending XCSF Beyond Linear Approximation. In Genetic and Evolutionary Computation — GECCO-2005, pp. 1859–1866, ACM Press, Washington DC, USA, 2005. [BibTeX]     [383.5kB pdf] 
    
11. Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, and David E. Goldberg. Knowledge Extraction and Problem Structure Identification in XCS. In Xin Yao, Edmund Burke, Jose A. Lozano, Jim Smith, Juan J. Merelo-Guervós, John A. Bullinaria, Jonathan Rowe, Peter Ti\vno Ata Kabán, and Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature - PPSN VIII, LNCS, pp. 1048–1057, Springer-Verlag, Birmingham, UK, 18-22 September 2004. [BibTeX]     [191.9kB pdf] 
    
12. Martin Butz, David G. Goldberg, and Pier Luca Lanzi. Bounding Learning Time in XCS. In Genetic and Evolutionary Computation — GECCO-2004, LNCS, Springer-Verlag, Seattle, WA, USA, 26-30 June 2004. [BibTeX]   
    
13. Martin Butz, David G. Goldberg, and Pier Luca Lanzi. Gradient Descent Methods in Learning Classifier Systems. In Genetic and Evolutionary Computation — GECCO-2004, LNCS, Springer-Verlag, Seattle, WA, USA, 26-30 June 2004. [BibTeX]    
    
14. Fabrizio Ferrandi, Pier Luca Lanzi, and Donatella Sciuto. System Level Hardware–Software Design Exploration with XCS. In Genetic and Evolutionary Computation — GECCO-2004, LNCS, Springer-Verlag, Seattle, WA, USA, 26-30 June 2004. [BibTeX]    
    
15. Piero Fraternali, Pier Luca Lanzi, Maristella Matera, and Andrea Maurino. Exploiting Conceptual Modeling for Web Application Quality Evaluation. In 13th International Conference on the World Wide Web (WWW), New York City, New York, USA, May 2004. (Poster) [BibTeX]   
    
16. Pier Luca Lanzi, Maristella Matera, and Andrea Maurino. A Framework for Exploiting Conceptual Modeling in the Evaluation of Web Application Quality. In Fourth International Conference on Web Engineering, ICWE 2004, Munich (D), July 2004. [BibTeX]     [78.1kB pdf] 
    
17. Daniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, and Pier Luca Lanzi. Discovering Interesting Information in XML Data with Association Rules. In Proceedings of the 18th symposium on applied computing (SAC’03), Melbourne, Florida (USA), March 9th-12th 2003. [BibTeX]     [184.6kB pdf] 
    
18. Federico Michele Facca and Pier Luca Lanzi. Recent Developments in Web Usage Mining Research. In Data Warehousing and Knowledge Discovery, 5th International Conference, DaWaK 2003, Prague, Czech Republic September 3-5, 2003, Proceedings, Lecture Notes in Computer Science, Springer, 2003. [BibTeX]     [121.6kB pdf] 
    
19. Fabrizio Ferrandi, Pier Luca Lanzi, and Donatella Sciuto. Mining Interesting Patterns from Hardware-Software Codesign Data with the Learning Classifier System XCS. In Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), pp. 1486–1492, IEEE, Canberra, Australia, 9-12 December 2003.
    [BibTeX]     [91.6kB pdf] 

20. Pier Luca Lanzi. A Comparison of Relative Accuracy and Raw Accuracy in XCS. In Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), pp. 1123–1129, IEEE, Canberra, Australia, 9-12 December 2003.
    [BibTeX]     [228.9kB pdf] 

21. Pier Luca Lanzi. XCS with Stack-Based Genetic Programming. In Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), pp. 1186–1191, IEEE, Canberra, Australia, 9-12 December 2003.
    [BibTeX]     [102.1kB pdf] 

22. Pier Luca Lanzi. Estimating Classifier Generalization and Action’s Effect: A Minimalist Approach. In E. Cantú-Paz, J. A. Foster, K. Deb, D. Davis, R. Roy, U.-M. O’Reilly, H.-G. Beyer, R. Standish, G. Kendall, S. Wilson, M. Harman, J. Wegener, D. Dasgupta, M. A. Potter, A. C. Schultz, K. Dowsland, N. Jonoska, and J. Miller, editors, Genetic and Evolutionary Computation — GECCO-2003, LNCS, pp. 1894–1905, Springer-Verlag, Chicago, 12-16 July 2003.
    [BibTeX]     [435.5kB pdf] 

23. Pier Luca Lanzi. Using Raw Accuracy to Estimate Classifier Fitness in XCS. In E. Cantú-Paz, J. A. Foster, K. Deb, D. Davis, R. Roy, U.-M. O’Reilly, H.-G. Beyer, R. Standish, G. Kendall, S. Wilson, M. Harman, J. Wegener, D. Dasgupta, M. A. Potter, A. C. Schultz, K. Dowsland, N. Jonoska, and J. Miller, editors, Genetic and Evolutionary Computation — GECCO-2003, LNCS, pp. 1922–1923, Springer-Verlag, Chicago, 12-16 July 2003.
    [BibTeX]    

24. Daniele Braga, Alessandro Campi, Ernesto Damiani, Pier Luca Lanzi, and Gabriella Pasi. FXPath: flexible querying of XML documents. In EUROFUSE Workshop on Information Systems, Varenna, Italy, September 2002.
    [BibTeX]    

25. Daniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, and Pier Luca Lanzi. A Tool for Extracting XML Association Rules. In Proceedings of the 14$^th$ IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), pp. 57–64, IEEE, Crystal City, Virginia, 4-6 November 2002.
    [BibTeX]     [886.9kB pdf] 

26. Daniele Braga, Alessandro Campi, Mika Klemettinen, and Pier Luca Lanzi. Data Warehousing and Knowledge Discovery, 4th International Conference, DaWaK 2002, Aix-en-Provence, France, September 4-6, 2002, Proceedings. In Yahiko Kambayashi, Werner Winiwarter, and Masatoshi Arikawa, editors, DaWaK, Lecture Notes in Computer Science, pp. 21–30, Springer, 2002.
    [BibTeX]     [123.7kB pdf] 

27. Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, and Stewart W. Wilson. How XCS Evolves Accurate Classifiers. In Lee Spector, Erik D. Goodman, Annie Wu, W.B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 927–934, Morgan Kaufmann, San Francisco, CA 94104, USA, 7-11 July 2001.
    [BibTeX]     [281.2kB pdf]  [102.6kB ps.gz] 

28. Pier Luca Lanzi. Mining Interesting Knowledge from Data with the XCS Classifier System. In Lee Spector, Erik D. Goodman, Annie Wu, W.B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 958–965, Morgan Kaufmann, San Francisco, CA 94104, USA, 7-11 July 2001.
    [BibTeX]     [227.0kB pdf]  [160.0kB ps.gz] 

29. Pier Luca Lanzi. Adaptive Agents with Reinforcement Learning and Internal Memory. In Sixth International Conference on the Simulation of Adaptive Behavior (SAB2000), pp. 333–342, MIT Press, 2000.
    [BibTeX]     [457.7kB pdf] 

30. Giuseppe Psaila and Pier Luca Lanzi. Hierarchy-based Mining of Association Rules in Data Warehouses. In Applied Computing 2000, Proceedings of the 2000 ACM Symposium on Applied Computing (SAC2000), pp. 307–312, ACM, Villa Olmo, Como, Italy, March 19-21, 2000.
    [BibTeX]    

31. Giuseppe Psaila and Pier Luca Lanzi. Hierarchy exploitation in data warehouses for mining association rules. In Ottavo Convegno Nazionale su Sistemi Evoluti per Basi di Dati (SEBD 2000). L’Aquila, Italy, June 26-28, pp. 243–256, 2000.
    [BibTeX]    

32. Pier Luca Lanzi and Marco Colombetti. An Extension to the XCS Classifier System for Stochastic Environments. In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 353–360, Morgan Kaufmann, Orlando (FL), July 1999.
    [BibTeX]     [pdf] 

33. Pier Luca Lanzi. Extending the Representation of Classifier Conditions Part I: From Binary to Messy Coding. In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 99), pp. 337–344, Morgan Kaufmann, Orlando (FL), July 1999.
    [BibTeX]     [175.6kB pdf] 

34. Pier Luca Lanzi and Alessandro Perrucci. Extending the Representation of Classifier Conditions Part II: From Messy Coding to S-Expressions. In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 99), pp. 345–352, Morgan Kaufmann, Orlando (FL), July 1999.
    [BibTeX]     [172.3kB pdf] 

35. Pier Luca Lanzi and Giuseppe Psaila. A Relational Database Mining Framework with Classification and Discretization. In Atti del Settimo Convegno Nazionale Sistemi Evoluti per Basi di Dati a cura di Elisa Bertino, Silvana Castano, Villa Olmo, 23-25 giugno 1999 , pp. 101–115, 1999. [BibTeX]    
    
36. Pier Luca Lanzi. Generalization in Wilson’s XCS. In A. E. Eiben, Thomas Back, Marc Schoenauer, and Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature - PPSN V, 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings, Lecture Notes in Computer Science, Springer-Verlag, 1998. [BibTeX]    
    
37. Pier Luca Lanzi. An Analysis of the Memory Mechanism of XCSM. In John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, and Rick Riolo, editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pp. 643–651, Morgan Kaufmann, San Francisco, CA, USA, 22-25 July 1998. [BibTeX]     [463.0kB pdf] 
    
38. Pier Luca Lanzi. Adding Memory to XCS. In Proceedings of the IEEE IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on Evolutionary Computation, May 4–9 Anchorage (AL), pp. 609–614, IEEE Press, 1998. [BibTeX]     [639.3kB pdf] 
    
39. Pier Luca Lanzi. Fast Feature Selection with Genetic Algorithms: A Filter Approach. In IEEE International Conference on Evolutionary Computation (ICEC97), April 13–16 Indianapolis (IN), pp. 537 –540, IEEE Press, April 1997. [BibTeX]     [500.4kB pdf] 
    
40. Pier Luca Lanzi. A Study on the Generalization Capabilities of XCS. In Thomas Baeck, editors, Proceedings of the Seventh International Conference on Genetic Algorithms, April 19–23 East Lansing (MI), pp. 418–425, Morgan Kaufmann, San Francisco, July 1997. [BibTeX]     [318.9kB pdf] 
    
41. Marco Richeldi and Pier Luca Lanzi. Performing Effective Feature Selection by Investigating the Deep Structure of the Data. In Evangelos Simoudis, Jiawei Han, and Usama M. Fayyad, editors, Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), pp. 379–383, AAAI Press, Portland (OR), 1996. [BibTeX]     [27.2kB pdf] 
    
42. Marco Richeldi and Pier Luca Lanzi. Adhoc: a Tool for Performing Effective Feature Selection. In Eighth IEEE Conference on Tools with Artificial Intelligence (ICTAI 96), pp. 102–105, IEEE Press, November 1996. [BibTeX]     [417.5kB pdf] 
    
43. Marco Richeldi and Pier Luca Lanzi. Improving Genetic Based Feature Selection by Reducing Data Dimensionality. In International Workshop on Evolutionary Computation, Bari (Italy), July 1996. [BibTeX]     [38.3kB pdf] 

Workshops

• Daniele Loiacono and Pier Luca Lanzi. Improving generalization in the XCSF classifier system using linear least-squares.. In Franz Rothlauf, editors, GECCO Workshops. Genetic and Evolutionary Computation Conference, GECCO 2005, Workshop Proceedings, Washington DC, USA, June 25-26, 2005, pp. 374–377, ACM, 2005. [BibTeX]    
  
• Rosa Meo, Pier Luca Lanzi, and Maristella Matera. Integrating Web Conceptual Modeling and Web Usage Mining. Dipartimento di Elettronica e Informazione — Politecnico di Milano, 2004. Presented at WebKDD2004 [BibTeX]    

Theses

• Pier Luca Lanzi. Reinforcement Learning by Learning Classifier Systems. Ph.D. Thesis, Dipartimento di Elettronica e Informazione — Politecnico di Milano, 1998. [BibTeX]    
  
• Pier Luca Lanzi. Computazione Reale Esatta con Algoritmi Lazy. Master’s Thesis, Dipartimento di Matematica e Informatica — Università di Udine,1994. Supervised by Prof. Furio Honsell and Prof. Pietro Di Gianantonio [BibTeX]    

Supervised MSc Theses

• Tiziana Gravagnoli. Test Generation Based on Probabilistic Model Building Genetic Algorithms and Spectral Analysis. Master’s Thesis, Dipartimento di Elettronica e Informazione. Politecnico di Milano,2006. Master thesis supervisor: Prof. Pier Luca Lanzi. [BibTeX]    
  
• Matteo Zanini. Evolving Populations of Heterogeneous Predictors with the Extended Classifier System. Master’s Thesis, University of Illinois at Chicago,2006. Master thesis supervisor: Prof. Pier Luca Lanzi. [BibTeX]    
  
• Roberto Carnevale. Algoritmi per Stemming ed Estrazione di Regole di Associazione su Documenti XML. Master’s Thesis, Dipartimento di Elettronica e Informazione. Politecnico di Milano,2002. Master thesis supervised by Marco Colombetti and Pier Luca Lanzi. (available in Italian). [BibTeX]    

Technical Reports

• Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. Prediction Update Algorithms for XCSF: RLS, Kalman Filter, and Gain Adaptation. Technical Report 2005008, Illinois Genetic Algorithms Laboratory — University of Illinois at Urbana-Champaign, 2006. [BibTeX]    
  
• Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. Classifier Prediction Based on Tile Coding. Technical Report 2005009, Illinois Genetic Algorithms Laboratory — University of Illinois at Urbana-Champaign, 2006. [BibTeX]    
  
• Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Technical Report 2005012, Illinois Genetic Algorithms Laboratory — University of Illinois at Urbana-Champaign, 2005. [BibTeX]    
  
• Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. Extending XCSF Beyond Linear Approximation. Technical Report 2005006, Illinois Genetic Algorithms Laboratory — University of Illinois at Urbana-Champaign, 2005. [BibTeX]    
  
• Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. XCS with Computable Prediction for the Learning of Boolean Functions. Technical Report 2005007, Illinois Genetic Algorithms Laboratory — University of Illinois at Urbana-Champaign, 2005. [BibTeX]    
  
• Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, and David E. Goldberg. XCS with Computable Prediction in Multistep Environments. Technical Report 2005008, Illinois Genetic Algorithms Laboratory — University of Illinois at Urbana-Champaign, 2005. [BibTeX]    
  
• Martin Butz, David G. Goldberg, and Pier Luca Lanzi. PAC Learning in XCS . Technical Report 2004011, Illinois Genetic Algorithms Laboratory — University of Illinois at Urbana-Champaign, 2004. [BibTeX]    
  
• Martin Butz, David G. Goldberg, and Pier Luca Lanzi. Bounding Learning Time in XCS. Technical Report 2004003, Illinois Genetic Algorithms Laboratory — University of Illinois at Urbana-Champaign, 2004. [BibTeX]    
  
• Federico Facca, Pier Luca Lanzi, and Stefano Ceri. PrefixTime: Mining Time Constrained Sequential Patterns By Prefix-Growth. Technical Report 2004-??, Dipartimento di Elettronica e Informazione — Politecnico di Milano, 2004. Submitted to ICDM2004 [BibTeX]    
  
• Federico Facca, Pier Luca Lanzi, Marco Colombetti, and Stefano Ceri. Mining Patterns from XML Data: a structure-based approach. Technical Report 2004.16, Dipartimento di Elettronica e Informazione — Politecnico di Milano, 2004. [BibTeX]    
  
• Rosa Meo, Pier Luca Lanzi, and Maristella Matera. Integrating Web Conceptual Modeling and Web Usage Mining. Dipartimento di Elettronica e Informazione — Politecnico di Milano, 2004. Presented at WebKDD2004 [BibTeX]    
  
• Martin Butz, David G. Goldberg, and Pier Luca Lanzi. Gradient Descent Methods in Learning Classifier Systems. Technical Report 2003028, Illinois Genetic Algorithms Laboratory — University of Illinois at Urbana-Champaign, 2003. [BibTeX]    
  
• Federico Michele Facca and Pier Luca Lanzi. Mining Interesting Knowledge from Weblogs: A Survey. Technical Report 2003.15, Dipartimento di Elettronica e Informazione. Politecnico di Milano., 2003. [BibTeX]    
  
• Fabrizio Ferrandi, Pier Luca Lanzi, Mara Tanelli, and Donatella Sciuto. A new methodology for system level Hardare-Software Design Exploration. Technical Report 2003., Dipartimento di Elettronica e Informazione. Politecnico di Milano., 2003. [BibTeX]    
  
• Pier Luca Lanzi. A Comparison of Relative Accuracy and Raw Accuracy in XCS. Technical Report 2003.14, Dipartimento di Elettronica e Informazione. Politecnico di Milano., 2003. [BibTeX]    
  
• Pier Luca Lanzi, Maristella Matera, and Andrea Maurino. Integrating Web Conceptual Modeling and Web Usage Mining with WebML. Technical Report 2003.21, Dipartimento di Elettronica e Informazione. Politecnico di Milano., 2003. [BibTeX]    
  
• Daniele Braga, Alessandro Campi, Stefano Ceri, Mika Klemettinen, and Pier Luca Lanzi. Discovering Interesting Information in XML Data with Association Rules. Technical Report 2002-15, Dipartimento di Elettronica e Informazione — Politecnico di Milano, 2002. [BibTeX]    
  
• Daniele Braga, Alessandro Campi, Mika Klemettinen, and Pier Luca Lanzi. Mining Association Rules from XML Data. Technical Report 2002-3, Dipartimento di Elettronica e Informazione — Politecnico di Milano, 2002. [BibTeX]    
  
• Martin Butz, Tim Kovacs, Pier Luca Lanzi, and Stewart Wilson. How XCS Evolves Accurate Classifiers. Technical Report 2001008, University of Illinois at Urbana-Champaign, 2001. [BibTeX]    
  
• Pier Luca Lanzi. Learning Classifier Systems from a Reinforcement Learning Perspective. Technical Report 00-03, Dipartimento di Elettronica e Informazione, Politecnico di Milano, 2000. [BibTeX]    
  
• Pier Luca Lanzi and Stewart W. Wilson. Optimal classifier system performance in non-Markov environments. Technical Report 99.36, Dipartimento di Elettronica e Informazione — Politecnico di Milano, 1999. [BibTeX]    
  
• Pier Luca Lanzi and Marco Colombetti. An Extension of XCS to Stochastic Environments. Technical Report 98.85, Dipartimento di Elettronica e Informazione — Politecnico di Milano, 1998. [BibTeX]    
  
• Pier Luca Lanzi. Solving Problems in Partially Observable Environments with Classifier Systems (Experiments on Adding Memory to XCS). Technical Report 97.45, Dipartimento di Elettronica e Informazione. Politecnico di Milano., 1997. [BibTeX]    
  
• Pier Luca Lanzi. A Model of the Environment to Avoid Local Learning (An Analysis of the Generalization Mechanism of XCS). Technical Report 97.46, Dipartimento di Elettronica e Informazione. Politecnico di Milano., 1997. [BibTeX]    

Software

• Pier Luca Lanzi. The XCS Library. Unpublished 2002. [BibTeX]    [HTML]