Описание тега regularized
Regularization involves introducing additional information in order to solve an ill-posed problem or to prevent over-fitting by shrinking the parameters of the model stay close to zero
In mathematics and statistics, particularly in the fields of machine learning and inverse problems, regularization involves introducing additional information in order to solve an ill-posed problem or to prevent overfitting. This information is usually of the form of a penalty for complexity, such as restrictions for smoothness or bounds on the vector space norm.
From http://en.wikipedia.org/wiki/Regularization_%28mathematics%29
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