Wind energy as one of the most promising alternatives brings a set serious challenges in operation power systems because uncertain nature wind speed. To address this problem, it is essential to establish framework forecast comprehensive form information about end, an ensemble residual regression deep network designed understand fully time-variant and spatial features from historical data includ...

Additive tree methods are widely used in ecology. To date most ecologists have boosted regression (BRT) methods. However, Bayesian additive (BART) models may offer advantages to previously unexamined. Here we test whether BART has some benefits over the BRT method. do this use two grassland data and 13 hydroclimatic land predictor variables. The dataset contained from a period of drought as wel...

In this paper we present statistical models for text which treat words with higher frequencies of occurrence in a sensible manner, and perform better than widely used models based on the multinomial distribution on a wide range of classification tasks, with two or more classes. Our models are based on the Poisson and Negative-Binomial distributions, which keep desirable properties of simplicity...

in many industrial and non-industrial applications the quality of a process or product is characterized by a relationship between a response variable and one or more explanatory variables. this relationship is referred to as profile. in the past decade, profile monitoring has been extensively studied under the normal response variable, but it has paid a little attention to the profile with the ...