… Machine learning involves some implicit sensitive data that may reveal user’s privacy … strong
privacy guarantee for the training data for machine learning. The method combines multiple …

… Analysis and Machine Intelligence,2013,35(12):2916-2929. [5] Li GB,Yu Y Z. Deep contrast
learning for salient object detection ∥ IEEE Conference on Computer Vision and Pattern …

… tens of thousands of training data, time of training. Nowadays, … need to use machine learning
and deep learning to achieve … architecture to PCANet for image analysis. It is the core of this …

… In recent years, surface defect detection techniques based on deep learning have been
widely used in various industrial scenarios. This paper reviews the latest works on deep learning …

… of multi-core fiber laser by deep reinforcement learning; (b) … and performance analysis of
a fiber laser array system for structuring … improvement in the sample training speed, capacity, …

… application scenarios of machine learning algorithms in op⁃ … ⁃ isting problems of machine
learning⁃based optical network … optical performance monitoring based on machine learning …

… in the field of machine learning and computer vision. There are … A comprehensive analysis
had been done on the … To fasten the training, the modified version of one cycle policy and …

… that machine learning can better predict students′ learning … through explainable artificial
intelligence methods. However, … Using machine learning techniques, high-risk and low-risk …

… by text mining and machine learning techniques. Despite many … that the combination of deep
learning method by CNN with the … We also find that using the higher training data ratios can …

… deep learning and machine learning techniques for identifying rumor. However, if the
architecture of deep learning model is too large, the process of training … applies machine learning …