Interpretability is a major concern when it comes to artificial intelligence (AI) models. Since these models are often opaque, it can be difficult to understand how or why they produce the results they do. This lack of interpretability can be a barrier to adoption of AI technology, since stakeholders may not be comfortable using a…
Tag: feature-selection
Support vector machines that are difficult to train
There are a number of ways in which artificial intelligence (AI) can help to train support vector machines (SVMs) more effectively. These methods can improve the performance of the SVM and make it more robust to different types of data. One approach is to use reinforcement learning (RL) to directly optimize the parameters of the…