Rank Distance Aggregation as a Fixed Classifier Combining Rule for Text Categorization

1. Dinu, L.P.: On the classification and aggregation of hierarchies with difererent constitutive elements. Fundamenta Informaticae 55(1), 39–50 (2002)

   MathSciNet  Google Scholar 

2. Dinu, L.P., Manea, F.: An eficient approach for the rank aggregation problem. Theoretical Computer Science 359(1), 455–461 (2006)

   Article  MATH  MathSciNet  Google Scholar 

3. Dinu, L.P., Popescu, M.: A multi-criteria decision method based on rank distance. Fundamenta Informaticae 86(1-2), 79–91 (2008)

   MATH  MathSciNet  Google Scholar 

4. Duin, R.P.W., Tax, D.M.J.: Experiments with classifier combining rules. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol. 1857, pp. 16–29. Springer, Heidelberg (2000)

   Chapter  Google Scholar 

5. Duin, R.P.W.: The combining classifier: To train or not to train? Pattern Recognition 2 (2002)

   Google Scholar 

6. Fukuda, K., Matsui, T.: Finding all minimum cost perfect matchings in bipartite graphs. Networks 22, 461–468 (1992)

   Article  MATH  MathSciNet  Google Scholar 

7. Manea, F., Ploscaru, C.: A generalization of the assignment problem, and its application to the rank aggregation problem. Fundamenta Informaticae 81(4), 459–471 (2007)

   MATH  MathSciNet  Google Scholar 

8. McCallum, A.K.: Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering (1996), http://www.cs.cmu.edu/~mccallum/bow

9. Polikar, R.: Ensemble based systems in decision making. IEEE Circuits and Systems Magazine 6(3), 21–45 (2006)

   Article  Google Scholar 

10. Roli, F., Fumera, G.: Fixed and trained combiners for fusion of imbalanced pattern classifiers. In: Proc. 5th Int. Conf. on Information Fusion, pp. 278–284 (2002)

    Google Scholar 

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