(b) When saidhours of employmentconstitute,overtime hours,employees shallbe paid for such hours as providedin this Agreement. Computation ofpayment forsuch overtime employment shall be based upon the regularrate of pay forthejob classificationinvolved, including theNight shift Differential, as provided...
XGBoost employs second-order derivatives to make the loss function more precise, effectively constructing boosted trees (regression and classification trees) and running parallel computation38. Furthermore, to address overfitting, it adopts a more regularized model formulation and employs hyperparameter ...
we first need to check that the update computation does not happen in the border of the array. The finite-difference stencil uses the values of neighboring grid points to update a single grid point. Therefore, it is necessary to check that grid points in the...
The example presented in Section 5.1 illustrates the computation of ‘enlarged’ uncertainties with enough details to follow the process that, when applied to the data from Tables 4 and 5, leads to the ‘enlarged’ uncertainty bounds drawn in Fig. C1 and Fig. C2 (in Appendix C)....
Currency Fluctuations If on any Computation Date the Revolving Facility Usage is equal to or greater than the Revolving Credit Commitments as a result of a change in exchange rates between one (1) or more Optional Currencies and Dollars, then the Administrative Agent shall notify the Borrower of...
amount being prepaid, and shall be accompanied by a certificate of a Senior Financial Officer as to the estimated Make-Whole Amount due in connection with such prepayment (calculated as if the date of such notice were the date of the prepayment), setting forth the details of such computation....
Overestimation of energy-price volatility, in turn, may result in excessive storage and high opportunity costs. In order to model a potential differential weighting of under- and over-estimations of realized volatility, we use the loss function studied by [...
Recent advancements in artificial intelligence have enabled reinforcement learning (RL) agents to exceed human-level performance in various gaming tasks. However, despite the state-of-the-art performance demonstrated by model-free RL algorithms, they suf