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Updated: Jan 10, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Sanjay Agal1, Krishna Raulji2, Niyati Dhirubhai Odedra3
1Department of Artificial Intelligence and Data Science, Faculty of Engineering and Technology, Parul University, Vadodara, Gujarat, India. sanjay.agal32685@paruluniversity.ac.in.
本研究引入了一种新的机器学习框架,用于基于风险的动态资产配置,其性能优于传统和深度学习方法. 适应性策略提高了风险调整后的回报,并减少了波动性市场的提款.
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