Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

Decision trees are some kinds of learning structures which are used to provide approximations on the accurate solutions for new instances using learning data classifications. The core part in a ...

Then, the class-separability and attribute-correlation are explored in robust fuzzy dominance rough approximation space, and corresponding attribute evaluation index is designed. Finally, an attribute ...