The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
In the field of controlled release technology for pesticides or active ingredients (AI), models that can predict its delivery during application are important for purposes of desi...
A nonlinear model of inflation and growth, with a fixed rate of money growth, is developed and its global dynamics analysed. These are compared with the local, linearised dynamics...
—In this paper, we analyze restrictions of traditional models affecting the accuracy of analytical prediction of the execution time of collective communication operations. In par...
Alexey L. Lastovetsky, Vladimir Rychkov, Maureen O...
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...