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Updated: Jan 16, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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通过随机森林调整和自适应决策策略来增强软件努力估计

Priya Varshini A G1, Anitha Kumari K2, Ramakrishnan S3

  • 1Department of Information Technology, Dr. Mahalingam College of Engineering and Technology, Pollachi, Coimbatore, Tamilnadu, India. priyavarshini.a.g@gmail.com.

Scientific reports
|September 30, 2025
PubMed
概括

这项研究通过使用改进的自适应随机森林 (IARF) 模型来增强软件努力估计. IARF模型显著提高了软件开发项目的预测准确性和可靠性.

关键词:
适应性决策技巧 适应性决策技巧算法评估算法评价可解释的人工智能技术功能重要性 功能重要性随机的森林随机的森林软件工作量估计软件工作量估计

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