Decision Tree Classification variants are among the most popular machine learning algorithms and have been applied in various fields with success. Their versatility and popularity along with the ease ...

Decision tree induction algorithms are widely used in knowledge discovery and data mining, specially in scenarios where model comprehensibility is desired. A variation of the traditional univariate ...

The algorithm allows researchers to reconstruct how abundant different block-lengths are present within a copolymer sample, giving a much more detailed picture of the material's internal structure.

Clinical-ready AI tool boosts breast cancer detection via decision tree algorithms The system is structured around a client-server architecture designed to provide scalability, remote accessibility, ...