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Optimal classifiers with minimum expected error within a Bayesian framework - Part II: Properties and performance analysis.

, и . Pattern Recognit., 46 (5): 1288-1300 (2013)

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Design and application of binary differencing filters., и . Document Recognition, том 2422 из SPIE Proceedings, стр. 338-349. SPIE, (1995)Some Applications of Aperture Filters., , и . ISMM, том 18 из Computational Imaging and Vision, стр. 119-128. Springer, (2000)Segmentation-free morphological character recognition., и . Document Recognition, том 2181 из SPIE Proceedings, стр. 14-23. SPIE, (1994)An experimental design to reduce dynamics uncertainty in genomic networks., , и . BCB, стр. 644-645. ACM, (2015)Bayesian optimal control of Markovian genetic regulatory networks., и . ACSSC, стр. 980-984. IEEE, (2013)Exact MSE performance of the Bayesian MMSE estimator for classification error., и . ACSCC, стр. 997-1001. IEEE, (2011)Classifier error estimator performance in a Bayesian context., и . GENSiPS, стр. 135-138. IEEE, (2011)Designing experiments for optimal reduction of uncertainty in gene regulatory networks., , и . GENSiPS, стр. 88-89. IEEE, (2013)Computationally efficient experimental design strategy for reducing gene network uncertainty., , и . GlobalSIP, стр. 1380-1381. IEEE, (2014)Ratio statistics of gene expression levels and applications to microarray data analysis., , , , , и . Bioinform., 18 (9): 1207-1215 (2002)