… machine intelligence in the three key processes of data processing, visualization presentation,
and human–machine interaction. … , and human– machine collaboration, which will lead to …

… not only machine intelligence but also human wisdom. Therefore, human-machine collaboration
would … of multi-sensor data fusion Feature extraction and fusion based on fuzzy method …

… [Method] Using Wikipedia as the primary classification system, we constructed a small
number of annotation sets semi-automatically. Then, we designed a semi-supervised …

… design forward-looking, collaborative and scientific monitoring tech… Multi-source data fusion
based on in-situ monitoring, UAV … (UAV) and machine learning algorithms was developed to …

… fusion based on normalized Euclidean distance and spectral clustering (NSSNF) is proposed
by using … , the data analysis was performed by the NSSNF method, and the results of the …

… knowledge tracing method based on multi ⁃ scale attention fusion,which uses temporal …
of historical interaction sequences,and performs multi⁃scale information fusion based on the …

… on block chain finan⁃ cial transaction under artificial neural network of deep learning[J]. …
high-dimensional data of multi-value chain collaboration in the data space. The preprocessing …

… , as well as integrated collaborative monitoring method of "sky-… Bayesian machine
learning-based method for prediction of … by multi-source information fusion based on cloud model …

[目的] 构建基于迁移学习的社交网络图像隐私自动分类器, 对用户进行合理的提示, 避免用户无意
间上传包含隐私信息的内容.[方法] 本文构建并标注了微博图像隐私分类数据集, 采用深度迁移…

… As a further development of machine learning, deep learning … fusionbased deep fast random
forest method for machine health … useful life collaborative prediction:a deep learning ap⁃ …