Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

Traditional attribute reduction techniques treat all classes equally, potentially overlooking the unique requirements and characteristics of specific classes. To overcome this limitation, we introduce ...

Attribute reduction is one of the nontrivial applications of the FDRS. At present, most attribute reduction methods for ordinal classification tasks mainly focus on the dependence of decision to ...

If you like our Framework, don't hesitate to ⭐ star this repository ⭐. This helps us to make the Framework more better and scalable to different models and methods 🤗. A modular and efficient ...