本文对machine learning testing做了比较全面的调研,其内容:涵盖测试属性(如正确性、鲁棒性、公平性)、测试组件(如数据、学习程序、框架)、测试工作流(如测试生成、测试评估)、应用场景(如自动驾驶、机器翻译)等等。分析了机器学习测试,数据集发展趋势、研究趋势和研究重点,提出了机器学习测试的研究挑战和发展方向。
Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.
This chapter provides details of machine learning techniques proposed so far to solve various VLSI testing problems. It focuses on explaining the scope of machine learning in VLSI testing. First, it gives a high-level overview of machine learning. After that, it describes the types of machine ...
Testing Machine Learning; Learning Machine Testing Do you use a smartphone today? Yes. Did you use a smartphone 10 years ago? No. Do you use a robot today? Probably not. Will you use a robot in 10 years from now? Yes! Does that perspective bother you? What are the risks? What are ...
Using Machine Learning in Test Automation Test automation uses testing instruments to create test scripts with the necessary input variables and run them to obtain the results. The only manual labor required is to specify the test instance in the manner of a computer script, and the tool handles...
The research uses machine learning to test the robustness of AJR's findings. Using the AJR dataset, which I randomly divide into training data and testing data, I am able to predict the average protection against expropriation risk from settler mortality. These predicted values of property rights...
Cybersecurityiscrucialforbothbusinessesandindividuals.Assystemsaregettingsmarter,wenowseemachinelearninginterruptingcomputersecurity.Withtheadoptionofmachinelearninginupcomingsecurityproducts,it’simportantforpentestersandsecurityresearcherstounderstandhowthesesystemswork,andtobreachthemfortestingpurposes.Thisbookbeginswiththe...
A machine-learning model trained on interactions between oral drugs and intestinal drug transporters obtained by modulating their expression in intact porcine tissue can be used to predict drug–transporter and drug–drug interactions. Yunhua Shi ...
Faster, More Secure Machine Learning with Oracle Machine Learning FAQs Machine learning has become a household term in recent years as the concept moved from science fiction to a key driver of how businesses and organizations process information. With the pace of data creation continuing to grow ex...
Machine Learning Use Cases Faster, More Secure Machine Learning with Oracle Machine Learning FAQs Machine learning has become a household term in recent years as the concept moved from science fiction to a key driver of how businesses and organizations process information. With the pace of data cre...