Background. Despite the increasing popularity of the snowboard, there is not scientific literature for sport performance indicators in this sport. Objectives. To analyze the effects of jump difficulty on the final performance during snowboarding-slopestyle competition. Methods. All competition sequences (n=214) from the 2014 Winter Olympic Games were analyzed. Of these, 123 were from the...

Among the multitude of learning algorithms that can be employed for deriving quantitative structure-activity relationships, regression trees have the advantage of being able to handle large data sets, dynamically perform the key feature selection, and yield readily interpretable models. A conventional method of building a regression tree model is recursive partitioning, a fast greedy algorithm ...

Large-scale regression problems where both the number of variables, p, and the number of observations, n, may be large and in the order of millions or more, are becoming increasingly more common. Typically the data are sparse: only a fraction of a percent of the entries in the design matrix are non-zero. Nevertheless, often the only computationally feasible approach is to perform dimension redu...

the aim of the present study was the estimation of (co) variance components and genetic parameters for body weight of moghani sheep, using random regression models based on b-splines functions. the data set included 9165 body weight records from 60 to 360 days of age from 2811 moghani sheep, collected between 1994 to 2013 from jafar-abad animal research and breeding institute, ardabil province,...