Educational data mining has emerged as a powerful tool for exploring hidden patterns in student data, predicting academic success, and reducing the dropout rate, especially in higher education. the OBE approach has be...
详细信息
this research paper aims to mainly discuss the use of Artificial Intelligence (AI) and its derivatives Machine learning (ML) in the tourism industry and business. In the identification of the effects of AI as well as ...
详细信息
For the operational control of logistics systems, the application of optimization methods using self-learningalgorithms is increasingly the subject of research and development. Knowledge management systems, which add...
详细信息
ISBN:
(纸本)9781665489218
For the operational control of logistics systems, the application of optimization methods using self-learningalgorithms is increasingly the subject of research and development. Knowledge management systems, which address the specific reaction to deviations, i. e. disturbances and fluctuations of system parameters, form a special application use case. this paper discusses in detail, how such a system can prioritize solutions to answer disturbances. Several ideas are part of the discussion on how to identify the most suitable or promising solution to a deviation. Furthermore, these different approaches converge to a single holistic approach via a step between. the rules, individual and holistic, also feature a mathematical expression. Furthermore, future possibilities for enhancement complete the paper.
Money laundering is a widespread criminal activity that presents difficult detection and prevention concerns. Machine learningalgorithms have grown into effective tools in the past few decades to help in the detectio...
详细信息
Model distillation, as an important model compression technique, typically focuses only on performance improvement while neglecting the interpretability analysis and refinement of the teacher model, thereby lacking in...
详细信息
Diabetes mellitus is increasing in large numbers globally. It also leads to various complications ultimately leads to death. Increase in mortality due to diabetic complication is increasing. Early diagnosis of diabete...
详细信息
For any VLSI design, accurate power estimation is significant to make it optimized. Conventional approaches for power estimation are based on some analytical models and involve simulation, which is typically computati...
详细信息
Men are much less likely than women to develop breast cancer. Breast lumps, bloody nipple discharge, and changes in the nipple's or breast's shape or texture are all indications of breast cancer. the study pro...
详细信息
Bilevel optimization enjoys a wide range of applications in hyper-parameter optimization, meta-learning and reinforcement learning. However, bilevel problems are difficult to solve and recent progress on scalable bile...
详细信息
Bilevel optimization enjoys a wide range of applications in hyper-parameter optimization, meta-learning and reinforcement learning. However, bilevel problems are difficult to solve and recent progress on scalable bilevel algorithms mainly focuses on bilevel optimization problems where the lower-level objective is either strongly convex or unconstrained. In this work, we tackle the bilevel problem through the lens of the penalty method. We show that under certain conditions, the penalty reformulation recovers the solutions of the original bilevel problem. Further, we propose the penalty-based bilevel gradient descent algorithm and establish its finite-time convergence for the constrained bilevel problem under some lower-level error bound conditions weaker than strong convexity. the experimental results showcase the efficiency of the proposed algorithm. the code is available on Github (link).
暂无评论