Global ETD Search
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Showing 1 to 2 of 2 for “"Bias modeling"”.
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On Principled Modeling of Inductive Bias in Machine Learning
The inductive bias of a learning algorithm is the set of assumptions that the hypothesis uses to predict unseen data, governing its generalization power. This thesis focuses on principled approaches to modeling inductive bias of learning algorithms. We start with a unifying view on inductive bias …
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Bias in Closed Population Capture-Recapture
… results and observing substantial negative bias (underestimates), we attempted to model the bias for M0 and Mb capture scenarios as these situations had consistent patterns. The Mt scenario with its erratic behaviors was not modeled. We noted that M0 and Mt performed equally well for the M0 …