Supervised learning examples Classification – Classification involves assigning new observations to specific categories based on training data. Here, an AI agent uses a given dataset to determine specific cla
Early attempts at explanations focused solely on using self-explanatory machine learning methods, known as intrinsically interpretable models. These models require no post-hoc analysis for model explanations, and examples include, model classes such as decision trees, regression, and Bayesian-based models...
131 such words were used; examples include "f**king", "sh*t" and "fat". Similarly, identity words aren't abusive in and of themselves, but when used with a slur or offensive word, their presence allows us to type the abuse. 451 such words were used. Word lists are available online,...
aThe classifications below are given as typical examples only and should not be considered as limitations to this standard where all gaseous, liquid and solid fuels apply. 如下分类被给作为仅典型的例子并且不应该考虑作为局限到这个标准,所有气体,液体和固体燃料申请。[translate] ...
Intrusion detection systems (IDSs) are well-known means to promptly detect attacks. Given a target system to protect, an IDS monitors its performance indicators: examples include memory usage (Cotroneoet al., 2017), throughput of buses (Cruz et al., 2015), active sessions (T. Zoppi et al....
An electrosurgical instrument which includes opposing end effectors and a handle for effecting movement of the end effectors relative to one another. The instrument includes a housi