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R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proceedings of the 1995.

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R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proceedings of the 1995.


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Kohavi, R. (1995). A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proceedings of the International Joint Conference cial Intelligence. Morgan Kaufman.


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R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In N. Lavrac and S. Wrobel, editors, Proceedings of the International Joint Conference on Arti cial Intelligence, 1995.


Combining Bayesian Networks, k Nearest Neighbours.. - Sierra, Lazkano..   (Correct)

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R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In N. Lavrac and S. Wrobel, editors, Proceedings of the International Joint Conference on Artificial Intelligence, 1995.


Sensitivity Analysis of the Result in Binary Decision Trees - Alvarez (2004)   (Correct)

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Kohavi, R.: A study of cross-validation and bootstrap for accuracy estimation and model selection. Proc. Int. Joint Conf. on Artificial Intelligence (1995) 1137-1143


Journal of Machine Learning Research 7 (2006) 2149-2187.. - Conditional   (Correct)

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R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, pages 1137--1143, 1995.


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R. Kohavi, `A study of cross-validation and bootstrap for accuracy estimation and model selection', in IJCAI, pp. 1137--1145, (1995).


Inferring Rule-Based Strategies in Dynamic Judgment Tasks.. - Rothrock, Kirlik (2003)   (Correct)

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QuebecR. Kohavi, "A study of cross-validation and bootstrap for accuracy estimation and model selection," in Proc. Int. Joint Conf. Artificial Intelligence, Montreal, Canada, 1995.


Learning Generative Models of Scene - Features Robert Sim   (Correct)

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R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proceedings of the 1995.


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R. Kohavi. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Quebec, Canada, August 1995.


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Kohavi R. Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection. In Proc. of the 14th International Joint Conference on A.I., Vol. 2, Canada, 1995.


Towards Efficient Texture Classification and Abnormality Detection - Monadjemi (2004)   (Correct)

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R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proceedings of International Joint Conference on Artificial Intelligence, 1995.


A Heuristic for Learning Decision Trees and Pruning.. - Ranilla, Luaces..   (Correct)

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R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In IJCAI, pages 1137--1145, 1995.


A Heuristic for Learning Decision Trees and Pruning.. - Ranilla, Luaces..   (Correct)

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R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In IJCAI, pages 1137-1145, 1995.


Characteristic Electrocardiograph Intervals as Indices of.. - Shouldice (2004)   (Correct)

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R. Kohavi, "A study of cross validation and bootstrap for accuracy estimation and model selection," Proc 14th Int Joint Conference on Artificial Intelligence, pp. 1137--1143, 1995.


Model-Based Cluster Analysis for Web Users Sessions - George Pallis Lefteris   (Correct)

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Kohavi R. Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection. In Proc. of the 14th International Joint Conference on A.I., Vol. 2, Canada, 1995.


Selection of the Most Useful Subset of Genes for Gene.. - Paul, Iba (2004)   (Correct)

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Kohavi, R., "A study of cross-validation and bootstrap for accuracy estimation and model selection", in Proceedings of the International Joint Conference on Artificial Intelligence, 1995.


A Comparison of the Use of Different Wavelet Coefficients.. - de Chazal, Reilly (2000)   (Correct)

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R. Kohavi, "A study of cross validation and bootstrap for accuracy estimation and model selection", In Proceedings of the 14th International Joint Conference on Artificial Intelligence, 1137-1143, 1995.


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R. Kohavi, "A study of cross validation and bootstrap for accuracy estimation and model selection," in Proc. 14th Int. Joint Conf. Artificial Intelligence, 1995, pp. 1137--1143.


Using Wavelet Coefficients for the Classification of the .. - de Chazal, Celler.. (2000)   (Correct)

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R. Kohavi, "A study of cross validation and bootstrap for accuracy estimation and model selection", In Proceedings of the 14th International Joint Conference on Artificial Intelligence, 1137-1143, 1995.


Identification of Informative Genes for Molecular Classification .. - Paul, Iba (2004)   (Correct)

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Kohavi, R.: A study of cross-validation and bootstrap for accuracy estimation and model selection. Proceedings of the International Joint Conference on Artificial Intelligence, 1995.


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R. Kohavi, "A study of cross validation and bootstrap for accuracy estimation and model selection", In Proceedings of the 14th International Joint Conference on Artificial Intelligence, 1137-1143, 1995.


Classification of Protein Localisation Patterns via.. - Anastasiadis..   (Correct)

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Kohavi, R.: A study of cross-validation and bootstrap for accuracy estimation and model selection. IInternational Joint Conference on Artificial Intelligence.(1995) 223-228


Artificial Intelligence 143 (2003) 51--77 - Www Elsevier Com (2001)   (1 citation)  (Correct)

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R. Kohavi, A study of cross-validation and bootstrap for accuracy estimation and model selection, in: Proceedings IJCAI-95, Montreal, QB, Morgan Kaufmann, San Francisco, CA, 1995, pp. 1137--1143.


Morphological Hat-Transform Scale Spaces and Their Use.. - Jalba, Wilkinson..   (Correct)

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R. Kohavi, A study of cross-validation and bootstrap for accuracy estimation and model selection, in: International Joint Conference on Artificial Intelligence, San Mateo, CA, 1995, pp. 1137--1145.

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