Random forest is an innovative algorithm for data classification used in statistics and machine learning. It is an easy to use and highly flexible ensemble learning method. The random forest algorithm ...

Deep Mutational Scanning (DMS) is an emerging method to systematically test the functional consequences of thousands of sequence changes to a protein target in a single experiment. Because of its ...

A study reveals how real-time fMRI neurofeedback can reshape neural activity, enhancing perceptual learning and creating new ...

For the year ended 31 July 2024, the Bradford-based manufacturer and specialist provider of industrial air handling units, ...

我们采用多维度的奖励计算机制，综合考虑交易的盈利能力、市场波动性和最大回撤等因素。这种设计理念与现代投资组合理论相一致，旨在在可接受的风险水平下实现收益最大化。优势函数的设计确保了系统在追求高收益的同时，能够有效控制风险敞口。