robotframework——在外部资源(external resources)中删除资源引起的问题 在RIDE里面创建一个项目后,可以看到有一个external resources模块 当引入的资源文件不在project管辖范围内时,就算是外部资源 在suite里面引用project以外的资源文件,会自动添加到外部资源里面 比如有两个项目project1和project2,此时在project2里面的某...
robotframework——在外部资源(external resources)中删除资源引起的问题 在RIDE里面创建一个项目后,可以看到有一个external resources模块 当引入的资源文件不在project管辖范围内时,就算是外部资源 在suite里面引用project以外的资源文件,会自动添加到外部资源里面 比如有两个项目project1和project2,此时在project2里面的...
"InterpretML: A Unified Framework for Machine Learning Interpretability" (H. Nori, S. Jenkins, P. Koch, and R. Caruana 2019) @article{nori2019interpretml, title={InterpretML: A Unified Framework for Machine Learning Interpretability}, author={Nori, Harsha and Jenkins, Samuel and Koch, Paul and...
Well, if machine learning was used in this situation, the robot itself would make a decision in the moment based on the information it has been given. Meaning, the robot would choose to perform either option A or option B, rather than being told through code to always perform option A no...
Meanwhile, the robot acts as a teacher's assistant to co-learn with children in the class. The FML-based knowledge base and rule base are embedded in the robot so that the teachers can get feedback from the robot on whether students make progress or not. Next, we inferred students' ...
to interpret findings about thedifferencesandchangesin human cultural preferences (e.g., for romance158,159, e.g., for horror160). Further research in fiction study could investigate the variability of many other preferences (and associated consummatory behavior) with such an evolutionary framework....
Moving up the value pyramid You can see the robot here coming to get us. So the thing that we need to do is think about how we move up this pyramid, both in the work that we do and how we talk about the work that we do with clients. So, again, that's moving up the value ...
This study contributes to the extant literature of human-robot interaction by proposing a theoretically grounded and empirically tested framework that contextualizes psychological ownership theory, uncertainty reduction theory, and trust in technology model. We also highlight the implications for practitioners...
"InterpretML: A Unified Framework for Machine Learning Interpretability" (H. Nori, S. Jenkins, P. Koch, and R. Caruana 2019) @article{nori2019interpretml, title={InterpretML: A Unified Framework for Machine Learning Interpretability}, author={Nori, Harsha and Jenkins, Samuel and Koch, Paul and...
Measures assessed viewer learning of four of the nine brands embedded in the film I, Robot after viewing either the entire film or an edited clip. Learning was also used to explain conventional measures such as brand memory and brand attitude. Key findings show that 1) brand associations are ...