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George H. John, Ron Kohavi, and Karl P eger. Irrelevant features and the subset selection problem. In Proceedings of ICML-94, 11th International Conference on Machine Learning, pages 121-129, New Brunswick, US, 1994.

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An Improved Boosting Algorithm and Its Application to Text.. - Sebastiani, al. (2000)   (5 citations)  (Correct)

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George H. John, Ron Kohavi, and Karl P eger. Irrelevant features and the subset selection problem. In Proceedings of ICML-94, 11th International Conference on Machine Learning, pages 121-129, New Brunswick, US, 1994.


Edited Naive Bayes - Martnez-Otzeta Sierra Lazkano   (Correct)

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John, G., Kohavi, R., and Pfleger, K. (1994). Irrelevant features and the subset selection problem. In International Conference on Machine Learning, pages 121--129.


Anytime Algorithm for Feature Selection - Mark Last Abraham   (Correct)

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G. H. John, R. Kohavi, and K. Pfleger, Irrelevant Features and the Subset Selection Problem, Proc. Machine Learning: Proc. of the 11th Int'l Conf., San Mateo, CA, pp. 121-129, 1994.


Unknown - We Introduce New (2003)   (Correct)

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G. John, R. Kohavi, and K. Pfleger. Irrelevant features and the subset selection problem. In Eleventh International Machine Learning Conference, pages 121--129, 1994. 31


Failure Diagnosis Using Decision Trees - Mike Chen Alice (2004)   (2 citations)  (Correct)

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G. H. John, R. Kohavi and K. Pfleger. Irrelevant features and the subset selection problem. Machine Learning: Proceedings of the Eleventh International Conference, pages 121-- 129, 1994.


Modeling User Interests By Conceptual Clustering - Godoy, Amandi (2005)   (Correct)

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G. John, R. Kohavi, K. Pfleger, Irrelevant features and the subset selection problem, in: Proceedings of the 11th International Conference in Machine Learning, Morgan Kaufmann, 1994.


User Profiling in Personal . . . - Godoy, al. (2005)   (Correct)

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John, G, Kohavi, R and Pfleger, K, 1994, Irrelevant features and the subset selection problem. In Cohen, W and Hirsh, H (eds.), Proceedings of the 11th International Conference on Machine Learning, pp. 121--129.


Auto-Supervised Learning in the Bayesian Programming.. - Dangauthier.. (2005)   (Correct)

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George H. John, Ron Kohavi, and Karl Pfleger. Irrelevant features and the subset selection problem. In International Conference on Machine Learning, pages 121--129, 1994. Journal version in AIJ, available at http://citeseer.nj.nec.com/13663.html.


Latent Semantic Indexing with a Variable Number of Orthogonal.. - Dupret (2004)   (Correct)

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John, G. H., Kohavi, R. & Pfleger, K. (1994), Irrelevant features and the subset selection problem, in `International Conference on Machine Learning', pp. 121--129. Journal version in AIJ, available at http://citeseer.nj.nec.com/13663.html.


Unsupervised Learning of Prototypes and AttributeWeights - Frigui, Nasraoui (2003)   (Correct)

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G. John, R. Kohavi, and K. Pfleger. Irrelevant features and the subset selection problem. In Eleventh International Machine Learning Conference, pages 121--129, 1994. 31


Combining Machine Learning and Hierarchical Structures for Text.. - Ruiz (2001)   (1 citation)  (Correct)

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G. John, R. Kohavi, and K. Pfleger. Irrelevant features and the subset selection problem. In Machine Learning: Proceedings of the Eleventh International Conference, pages 121--129, San Francisco, CA, 1994. AAAI, Morgan Kaufmann Publishers.


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John, G., Kohavi, R., Pfleger, K.: Irrelevant features and the subset selection problem. In IML94 (1994) 121--129 Journal version in AIJ.


Feeding Data Mining - Avesani, Olivetti, Susi (2002)   (Correct)

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George H. John, Ron Kohavi, and Karl Pfleger. Irrelevant features and the subset selection problem. In International Conference on Machine Learning, pages 121--129, 1994. Journal version in AIJ, available at http://citeseer.nj.nec.com/13663.html.


A Rough Sets Based Approach to Feature Selection - Zhang, Yao   (Correct)

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G. H. John, R. Kohavi and K. Pfleger, "Irrelevant Features and the Subset Selection Problem," Proceedings of the Eleventh International Conference on Machine Learning, pp121-129, 1994.


A Pitfall in Determining the Optimal Feature Subset Size - Reunanen (2004)   (Correct)

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G.H. John, R. Kohavi, and K. Pfleger. Irrelevant features and the subset selection problem. In Proc. ICML-94, pages 121--129, New Brunswick, NJ, USA, 1994.


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John, G., Kohavi, R., and Pfleger, K. (1994). Irrelevant features and the subset selection problem. In Proc. 11th Intl. Conf. on Machine Learning, pages 121--129.


Automatic Recognition of Handwritten Numerical Strings - Oliveira (2003)   (3 citations)  (Correct)

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G. John, R. Kohavi, and K. Peger. Irrelevant features and the subset selection problems. In Proc. of 11 pages 121129, 1994.


SVM Based Feature Screening Applied to Hierarchical Cervical .. - Zhang, Liu, Zhao (2002)   (Correct)

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G. John, R. Kohavi, and K. Pfleger. Irrelevant features and the subset selection problem. In Proceedings of the International Conference on Machine Learning, pages 121--129, 1994.


Feature Selection and Classifier Ensembles: A Study on.. - Yu (2003)   (Correct)

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G.H. John, R. Kohavi, and K. Pfleger. Irrelevant features and the subset selection problem. In Proceedings of the Eleventh International Conference on Machine learning, pages 121--129, New Brunswick, NJ, 1994. Morgan Kaufmann. 46, 50, 51


Distribution of Mutual Information from Complete And.. - Hutter, Zaffalon (2004)   (Correct)

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G. H. John, R. Kohavi, K. Pfleger, Irrelevant features and the subset selection problem, in: W. W. Cohen, H. Hirsh (Eds.), Proceedings of the Eleventh International Conference on Machine Learning, Morgan Kaufmann, New York, 1994, pp. 121--129.


A Methodology For Feature Selection Using Multiobjective Genetic .. - Oliveira (2003)   (Correct)

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G. John, R. Kohavi and K. Pfleger, "Irrelevant features and the subset selection problems," Proc. 11th Int. Conf. Machine Learning, 1994, pp. 121--129. A Methodology for Feature Selection 927


Feature Selection for Support Vector Machines by Means of.. - Fröhlich (2002)   (Correct)

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G. John, R. Kohavi, K. Pfleger, Irrelevant features and the subset selection problem, In: Machine Learning: Proceedings of the Eleventh International Conference, Morgan Kaufmann, pp. 121 - 129, 1994 96


Improvement of the State Merging Rule on Noisy Data in.. - Habrard, Bernard, Sebban (2003)   (Correct)

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John, G., Kohavi, R., Pfleger, K.: Irrelevant features and the subset selection problem. In: 11th International Conference on Machine Learning. (1994) 121--129


Failure Diagnosis Using Decision Trees - Mike Chen Alice (2004)   (2 citations)  (Correct)

No context found.

G. H. John, R. Kohavi and K. Pfleger. Irrelevant features and the subset selection problem. Machine Learning: Proceedings of the Eleventh International Conference, pages 121-- 129, 1994.


Probabilistic Approach for Reduction of Irrelevant.. - habrard, Bernard, Sebban (2003)   (Correct)

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John, G., Kohavi, R., Pfleger, K.: Irrelevant features and the subset selection problem. In: 11th International Conference on Machine Learning. (1994) 121--129

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