Data-based machine learning is discussed in Chapter 7. The discussion on machine learning and the progress of research on machine learning will inevitably promote the further development of artificial intelligence and the entire field of science and technology....
Geyer P, Singaravel S (2018). Component-based machine learning for performance prediction in building design. Applied Energy, doi:10.1016/j.apenergy.2018.07.011. Geyer P, Singh MM, Chen X (2021). Explainable AI for engineering design: A unified approach of systems engineering and component-ba...
文献：Xin L, Liu S, Shi W, Ying GG, Hui X, Chen CE. Knowledge-based machine learning for predicting and understanding the androgen receptor (AR)-mediated reproductive toxicity in zebrafish. Environ Int. 2024 Sep 2;191:108995. doi: 10.1016/j.envint.2024.108995. Epub ahead of print. ...
爱思唯尔:那您认为,Knowledge-Based Systems 为什么能成为一本很有吸引力的期刊? 路节教授:第一个原因是我们有非常好的作者团队。很多作者在我们这里几乎每年发表一篇文章,他们都把自己最好的、最高质量的、最具创新的研究成果发表在我们的期刊上。我们要感谢这些非常优秀的作者。 第二,我要感谢我们的associate edit...
近期,学院特殊教育系陈军博士团队的研究成果Semi-supervised noise-resilient anomaly detection with feature autoencoder在期刊《Knowledge-Based Systems》(中科院一区TOP,JCR Q1,IF = 7.2)发表,陈军为本文的通讯作者,其余作者来自中国移动...
🤓 Important machine learning knowledge, each article deeply analyzes theoretical knowledge - hevan1sky/Machine-Learning-Knowledge
The development of KGML-ag-Carbon has three main steps: (1) Developing the architecture of the machine learning model based on the causal relations derived from an agricultural process-based model; (2) pre-training the KGML-ag-Carbon using synthetic data generated by a process-based model; and...
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we propose a hybrid knowledge-based and machine learning-based approach to overcome these limitations in the context of the University of Minnesota Pathway Prediction System (UM-PPS). The proposed solution performs relative reasoning in a machine learning framework, and obtains one probability estimate...
Outlier Detection(异常点检测): Statistic-based(基于统计),Distance-based(基于距离),Density-based(基于密度),Clustering-based(基于聚类)。 Learning to Rank(基于学习的排序): Pointwise:McRank; Pairwise:RankingSVM,RankNet,Frank,RankBoost; Listwise:AdaRank,SoftRank,LamdaMART;...