An Inductive Learning Algorithm with a Partial Completeness and Consistence via a Modified Set Covering Problem

1. Balas, E., Padberg, M.W.: Set partitioning - A survey. In: Christofides, N. (ed.) Combinatorial Optimisation. Wiley, New York (1979)

   Google Scholar 

2. Beasley, J.E.: A genetic algorithm for the set covering problem. European Journal of Operational Research 94, 392–404 (1996)

   Article  MATH  Google Scholar 

3. Christofides, N., Korman, S.: A computational survey of methods for the set covering problem. Management Sci. 21, 591–599 (1975)

   Article  MATH  MathSciNet  Google Scholar 

4. Chvatal, V.: A greedy heuristic for the set-covering problem. Maths. of Oper. Res. 4(3), 233–235 (1979)

   Article  MATH  MathSciNet  Google Scholar 

5. Kacprzyk, J., Szkatuła, G.: Machine learning from examples under errors in data. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds.) IPMU 1994. LNCS, vol. 945, pp. 1047–1051. Springer, Heidelberg (1995)

   Google Scholar 

6. Kacprzyk, J., Szkatuła, G.: Machine learning from examples under errors in data. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds.) Fuzzy Logic and Soft Computing, pp. 31–36. World Scientific, Singapore (1995)

   Chapter  Google Scholar 

7. Kacprzyk, J., Szkatuła, G.: An algorithm for learning from erroneous and incorrigible examples. Int. J. of Intelligent Syst. 11, 565–582 (1996)

   Article  MATH  Google Scholar 

8. Kacprzyk, J., Szkatuła, G.: An improved inductive learning algorithm with a preanalysis of data. In: Raś, Z.W., Skowron, A. (eds.) ISMIS 1997. LNCS, vol. 1325, pp. 157–166. Springer, Heidelberg (1997)

   Google Scholar 

9. Kacprzyk, J., Szkatuła, G.: IP1 - An Improved Inductive Learning Procedure with a Preprocessing of Data. In: Xu, L., Chan, L.W., King, I., Fu, A. (eds.) Intelligent Data Engineering and Learning. Perspectives on Financial Engineering and Data Mining. Proc. of IDEAL 1998, pp. 385–392. Springer, Hong Kong (1998)

   Google Scholar 

10. Kacprzyk, J., Szkatuła, G.: An inductive learning algorithm with a preanalysis of data. Int. J. of Knowledge - Based Intelligent Engineering Systems 3, 135–146 (1999)

    Google Scholar 

11. Kacprzyk, J., Szkatuła, G.: An integer programming approach to inductive learning using genetic algorithm. In: Proceedings of CEC 2002 - The 2002 Congress on Evolutionary Computation, CEC 2002, Honolulu, Hawaii, pp. 181–186 (2002)

    Google Scholar 

12. Kacprzyk, J., Szkatuła, G.: An integer programming approach to inductive learning using genetic and greedy algorithms. In: Jain, L.C., Kacprzyk, J. (eds.) New Learning Paradigms in Soft Computing, pp. 322–366. Physica-Verlag, Heidelberg (2002)

    Google Scholar 

13. Kacprzyk, J., Szkatuła, G.: A softened formulation of inductive learning and its use for coronary disease data. In: Hacid, M.-S., Murray, N.V., Raś, Z.W., Tsumoto, S. (eds.) ISMIS 2005. LNCS (LNAI), vol. 3488, pp. 200–209. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

14. Michalski, R.S.: A theory and methodology of inductive learning. In: Michalski, R., Carbonell, J., Mitchell, T.M. (eds.) Machine Learning. Tioga Press (1983)

    Google Scholar 

Download references