Sierra, B., Serrano, N., Larranaga, P., Plasencia, E. J., Inza, I., Jimenez, J. J., Revuelta, P., and Mora, M. L. (2001b). Using bayesian networks in the construction of a bi-level multi-classifier. Artificial Intelligence in Medicine, 22:233-- 248. Home/Search Document Details and Download
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BAYES-NEAREST: a new Hybrid Classifier Combining Bayesian.. - Lazkano, Sierra (2003) Self-citation (Sierra) (Correct)
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Sierra, B., Serrano, N., Larranaga, P., Plasencia, E. J., Inza, I., Jimenez, J. J., Revuelta, P., and Mora, M. L. (2001b). Using bayesian networks in the construction of a bi-level multi-classifier. Artificial Intelligence in Medicine, 22:233-- 248.
K Nearest Neighbor Edition to Guide Classification.. - Martinez-Otzeta.. Self-citation (Sierra) (Correct)
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Sierra, B., Serrano, N., Larranaga, P., Plasencia, E. J., Inza, I., Jimenez, J. J., Revuelta, P., and Mora, M. L. (2001b). Using bayesian networks in the construction of a bi-level multi-classifier. Artificial Intelligence in Medicine, 22:233--248.
Image Analysis and Automatic Surface Identification.. - Martinez-Otzeta.. Self-citation (Sierra) (Correct)
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B. Sierra, N. Serrano, P. Larranaga, E. J. Plasencia, I. Inza, J. J. Jimenez, P. Revuelta, and M. L. Mora. Using bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data. Artificial Intelligence in Medicine, 22(3):233--248, 2001.
Combining Bayesian Networks, k Nearest Neighbours.. - Sierra, Lazkano.. Self-citation (Sierra) (Correct)
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B. Sierra, N. Serrano, P. Larranaga, E. J. Plasencia, I. Inza, J. J. Jimenez, P. Revuelta, and M. L. Mora. Using bayesian networks in the construction of a bi-level multi-classifier. Artificial Intelligence in Medicine, 22:233--248, 2001.
K Nearest Neighbor Edition to Guide Classification .. - Martinez-Otzeta.. Self-citation (Sierra) (Correct)
No context found.
B. Sierra, N. Serrano, P. Larranaga, E. J. Plasencia, I. Inza, J. J. Jimenez, P. Revuelta, and M. L. Mora. Using bayesian networks in the construction of a bi-level multi-classifier. Artificial Intelligence in Medicine, 22:233--248, 2001.
Learning Bayesian networks from data. Some applications in.. - Larrañaga (2002) Self-citation (Naga) (Correct)
....The database contains 311 cases diagnosed at the Oncological Institute of Gipuzkoa (Spain) in the period between 1 January 1988 and 31 December 1995. The second application corresponds to the use of Bayesian networks as a bi level multi classifier for predicting the survival of patients at ICU [26]. Bayesian networks will be used for combining the predictions of different component classifiers. The component classifiers considered in the application are: ID3, C4.5, NB, NBTree, IB1, oneR, cn2, Ripper and IB4. The database used in this study has been obtained from the ICU of the Canary ....
B. Sierra, N. Serrano, P. Larra naga, E.J. Plasencia, I. Inza, J.J. Jim enez, P. Revuelta, and M.L. Mora, `Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data', Artificial Intelligence in Medicine, 22, 233--248, (2001). 2
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