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A Proactive Restoration Strategy for Optical Cloud Networks Based on Failure Predictions.

, , , , , and . ICTON, page 1-5. IEEE, (2018)

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LASSO multi-objective learning algorithm for feature selection., , , and . Soft Comput., 24 (17): 13209-13217 (2020)Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancer., , , and . Soft Comput., 15 (6): 1137-1144 (2011)A Proactive Restoration Strategy for Optical Cloud Networks Based on Failure Predictions., , , , , and . ICTON, page 1-5. IEEE, (2018)Semi-supervised relevance index for feature selection., , , and . Neural Comput. Appl., 31 (S-2): 989-997 (2019)Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient., , and . CIARP, volume 6419 of Lecture Notes in Computer Science, page 509-516. Springer, (2010)Cluster homogeneity as a semi-supervised principle for feature selection using mutual information., , and . ESANN, (2012)A General Approach for Adaptive Kernels in Semi-Supervised Clustering., , , and . IDEAL, volume 7435 of Lecture Notes in Computer Science, page 508-515. Springer, (2012)Semi-supervised feature selection.. Catholic University of Louvain, Louvain-la-Neuve, Belgium, (2013)base-search.net (ftunivlouvain:oai:dial.uclouvain.be:boreal:128255).