首页|Jilin University Reports Findings in Machine Learning (Factorization in molecular modeling and belief propagation algorithms)
Jilin University Reports Findings in Machine Learning (Factorization in molecular modeling and belief propagation algorithms)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject of a report. According to news reporting fromChangchun, People’s Republic of China, by NewsRx journalists, research stated, “Factorization reducescomputational complexity, and is therefore an important tool in statistical machine learning of high dimensionalsystems. Conventional molecular modeling, including molecular dynamics and Monte Carlosimulations of molecular systems, is a large research field based on approximate factorization of molecularinteractions.”
ChangchunPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesHealth and MedicineMachine LearningMolecular Modeling
NETL
NSTL
