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Multiple Comparison Procedures for Determining the Optimal Complexity of a Model.

, , and . SSPR/SPR, volume 1876 of Lecture Notes in Computer Science, page 796-805. Springer, (2000)

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A statistical model selection strategy applied to neural networks., , and . ESANN, page 55-60. (2000)Noise derived information criterion for model selection., , , and . ESANN, page 155-160. (2002)Multiple Comparison Procedures for Determining the Optimal Complexity of a Model., , and . SSPR/SPR, volume 1876 of Lecture Notes in Computer Science, page 796-805. Springer, (2000)Multiple comparison procedures applied to model selection., , and . Neurocomputing, 48 (1-4): 155-173 (2002)A resampling and multiple testing-based procedure for determining the size of a neural network., , , and . ESANN, page 65-70. (2002)A Penalization Criterion Based on Noise Behaviour for Model Selection., , , and . IWANN (2), volume 2085 of Lecture Notes in Computer Science, page 152-159. Springer, (2001)Empirical Performance Assessment of Nonlinear Model Selection Techniques., , , and . IBERAMIA, volume 2527 of Lecture Notes in Computer Science, page 450-459. Springer, (2002)Genetic Algorithms Applied to the Design of 3D Photonic Crystals., , , , , and . IWANN (1), volume 6691 of Lecture Notes in Computer Science, page 291-298. Springer, (2011)Using Deep Learning for Image Similarity in Product Matching., , , , , and . IWANN (1), volume 10305 of Lecture Notes in Computer Science, page 281-290. Springer, (2017)A new Meta Machine Learning (MML) method based on combining non-significant different neural networks., , , and . ESANN, page 343-348. (2003)