The majority of U. S. temporary help supply (THS) Žrms offer nominally free, unrestricted computer skills training, a practice inconsistent with the competitive model of training. I propose and test a model in which Žrms offer general training to induce self-selection and perform screening of worker ability. The model implies, and the data conŽrm, that Žrms providing training attract higher abi...

We address the problem of data inconsistencies while integrating data sets from multiple autonomous relational databases. We start by arguing that the semantics of integrating possibly inconsistent data is naturally captured by the maximal consistent subsets of the set of all information contained in the collected data. Based on this idea, we propose a simple and intuitive semantical framework,...

The majority of U. S. temporary help supply (THS) firms offer nominally free, unrestricted computer skills training, a practice inconsistent with the competitive model of training. I propose and test a model in which firms offer general training to induce self-selection and perform screening of worker ability. The model implies, and the data confirm, that firms providing training attract higher...

Stochastic Gradient Descent (SGD) updates Convolutional Neural Network (CNN) with a noisy gradient computed from a random batch, and each batch evenly updates the network once in an epoch. This model applies the same training effort to each batch, but it overlooks the fact that the gradient variance, induced by Sampling Bias and Intrinsic Image Difference, renders different training dynamics on...