Browsing by Subject "Regularization"
Now showing items 1-6 of 6
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(2012-05-03)Currently, measles (also known as English measles) is detrimentally affecting the youth of the developing world. The shortage of vaccines and the devastating consequences of measles yield disturbing consequences globally. ...
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(2023-05-01)Learning an unknown function from given noisy data observations is a main task in data science. The central problem is to use data observations and prior knowledge to construct an approximation for the unknown function. ...
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(2013-12-10)Building quantitative models of biological systems is a challenging task as these models can consist of a very large number of components with complex interactions between them and the experimental data available for model ...
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(2022-04-20)This dissertation discusses how we can exploit sparsity, a statistical assumption that only a small number of relationships between variables are non-zero, in the model selection for regression and covariance matrix ...
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(2021-03-12)Datasets with a large number of observations and variables, called large datasets, become ubiquitous as a consequence of the development of technology. To deal with large datasets, data scientists face challenges such as ...
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(2014-04-18)Small samples are commonplace in genomic/proteomic classification, the result being inadequate classifier design and poor error estimation. A promising approach to alleviate the problem is the use of prior knowledge. On ...