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Positional accuracy of cartographic products is typically evaluated using positional discrepancies and point-based techniques. However, using linear features has some advantages over the point-based ...

Abstract: This paper presents a new method for fitting a convex piecewise-linear function to a given set of data, which can serve as an empirical modeling framework for circuit optimization via ...

PyAutoFit is a Python based probabilistic programming language for model fitting and Bayesian inference of large datasets. The basic PyAutoFit API allows us a user to quickly compose a probabilistic ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Genomic prediction is a powerful approach for improving genetic gain and shortening the breeding cycles in animal and crop breeding programs. A series of statistical and machine learning models has ...

Abstract: With the increasing demand for computer application scenarios, it is necessary to develop computer software and hardware systems conveniently and quickly, which can be applied to specific ...