Semantic Scholar uses AI to extract papers important to this topic.
MaxEnt is a program for modelling species distributions from presence-only species records. This paper is written for ecologists… Expand Used to estimate the risk of an estimator or to perform model selection, cross-validation is a widespread strategy because of its… Expand In 2000, the Cohn-Kanade (CK) database was released for the purpose of promoting research into automatically detecting individual… Expand Consider the ridge estimate (λ) for β in the model unknown, (λ) = (X T X + nλI)−1 X T y. We study the method of generalized cross… Expand Abstract In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset… Expand We review accuracy estimation methods and compare the two most common methods crossvalidation and bootstrap. Recent experimental… Expand We address the problem of finding a subset of features that allows a supervised induction algorithm to induce small high-accuracy… Expand Regularization algorithms are often used to produce reasonable solutions to ill-posed problems. The L-curve is a plot—for all… Expand This paper introduces stacked generalization, a scheme for minimizing the generalization error rate of one or more generalizers… Expand SUMMARY A generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data… Expand