14:[["$","title","0",{"children":"批准\n\n流程图 TD\n 开始['DWTS研究项目:
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建模粉丝行为 & 评估比赛规则'] --> 定义问题['问题定义:
估计隐藏的粉丝投票 & 分析比赛公平性']\n\n 定义问题 --> 子问题1[任务1: 逆向工程模型]\n 定义问题 --> 子问题2[任务2: 规则评估 & 模拟]\n 定义问题 --> 子问题3[任务3: 深度统计分析]\n\n 子问题1 --> M1_方法论['方法论: 约束优化']\n M1_方法论 --> M1_公式['核心公式:
min L(F)=λ₁P(F)+λ₂R(F)-λ₃H(F)']\n M1_公式 --> M1_输入['输入: 评委分数 (Jᵢ),
淘汰结果 (Eᵢ)']\n M1_输入 --> M1_输出['输出: 估计的每周粉丝份额 (Fᵢ)']\n M1_输出 --> M1_验证['验证指标:
• 93.9% 淘汰一致性
• 0.986 跨周稳定性
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建模粉丝行为 & 评估比赛规则'] --> 定义问题[... | SciDraw Gallery"}],["$","meta","17",{"property":"og:description","content":"批准\n\n流程图 TD\n 开始['DWTS研究项目:
建模粉丝行为 & 评估比赛规则'] --> 定义问题['问题定义:
估计隐藏的粉丝投票 & 分析比赛公平性']\n\n 定义问题 --> 子问题1[任务1: 逆向工程模型]\n 定义问题 --> 子问题2[任务2: 规则评估 & 模拟]\n 定义问题 --> 子问题3[任务3: 深度统计分析]\n\n 子问题1 --> M1_方法论['方法论: 约束优化']\n M1_方法论 --> M1_公式['核心公式:
min L(F)=λ₁P(F)+λ₂R(F)-λ₃H(F)']\n M1_公式 --> M1_输入['输入: 评委分数 (Jᵢ),
淘汰结果 (Eᵢ)']\n M1_输入 --> M1_输出['输出: 估计的每周粉丝份额 (Fᵢ)']\n M1_输出 --> M1_验证['验证指标:
• 93.9% 淘汰一致性
• 0.986 跨周稳定性
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