Abstract. Climate change is typically modeled using sophisticated mathematical models (climate models) of physical processes that range in temporal and spatial scales. Multi-model ensemble means climate show better correlation with the observations than any separately. Currently, an open research question how can be combined to create mean optimal way. We present a novel stochastic approach bas...

Support vector regression (SVR) is a powerful kernel-based method which has been successfully applied in problems. Regarding the feature-weighted SVR algorithms, its contribution to model output taken into account. However, performance of subject feature weights and time consumption on training. In paper, an efficient proposed. Firstly, value constraint each weight obtained according maximal in...

A bstract Recently, the tensor network description with bond weights on its edges has been proposed as a novel improvement for renormalization group algorithm. The weight is controlled by single hyperparameter, whose optimal value estimated in original work via numerical computation of two-dimensional critical Ising model. We develop this bond-weighted algorithm to make it applicable fermionic ...