In this work, we propose a novel HyperNetwork Slide Decision Tree (HyperSDT) approach to achieve interpretable deep learning for tabular data while maintaining a comparable accuracy to ...

Perhaps they like learning. Perhaps decision-making is a kind of game. Perhaps they like the feeling of responsibility. Perhaps they like the actuality of responsibility. If so, algorithm aversion is ...

We thus propose a multiconstrained nonconvex joint optimization problem modeled as a partially observed Markov decision process ... article further proposes a deep reinforcement learning (DRL)-based ...

This course covers the theory and practical algorithms for machine learning from a variety of perspectives. We cover topics such as decision tree learning, neural networks, statistical learning ...

Specific techniques encompass logistic regression (LR), decision trees (DT), random forests ... In contrast, machine learning algorithms such as SVM and tree models are the second most frequently ...

School of Mechanical Engineering, Beijing Institute of Technology, 5th South ZhongGuanCun Street, Beijing, P. R. China Advanced Technology Research Institute, Beijing Institute of Technology, 8366 ...

Background: Machine learning (ML) algorithms play a key role in estimating dental age. In this study, three ML models were used for dental age estimation, based on different preprocessing methods. Aim ...