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To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight in BayesPI, namely Laplace prior and Cauchy prior, by using the evidence approximation method. In addition, we divided hyperparameter (regularization constants of the model) into multiple distinct classes based on either the structure of the neural networks or the property of...



MCGH is a Matlab toolbox with graphical interface to analysis DNA microarray-based comparative genomic hybridization (CGH) experiments. CGH on DNA microarray enable us to measure the copy numbers of thousands of genes through the genome. M-CGH...