Determine a star for each seed against the other seed events By appropriately modifying and selecting complexes from stars, construct a disjoint cover of E that optimizes the criterion LEF Is the termination Criterion satisfied?
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Goal Concept: A concept definition describing the concept to be learned. (It is assumed that this concept definition fails to satisfy the Operationality Criterion. Training Example: An example of the goal concept Domain Theory: A set of rules and facts to be used in explaining how the training example is an example of the goal concept
文件格式: PPT大小: 655KB页数: 19
Goal Concept: A concept definition describing the concept to be learned. (It is assumed that this concept definition fails to satisfy the Operationality Criterion.) Training Example: An example of the goal concept. Domain Theory: A set of rules and facts to be used in explaining how the training example is an example of the goal concept
文件格式: PPT大小: 760KB页数: 23
一. 示例学习的优化问题 (1) 最优覆盖问题(MCV)—生成具有最少数目公式的覆盖; (2) 最简公式问题(MCOMP)—生成具有最少数目选择子及属性值的公式,或极大复合;
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一. 示例学习的问题描述(见表2.1,表2.2) 二. 决策树学习(ID3算法) 1. 学习效果的衡量标准(示例学习的优化问题) 2. ID3算法:
文件格式: PPT大小: 90.5KB页数: 10
一. 示例学习的问题描述(见表2.1,表2.2) 二. 决策树学习(ID3算法) 1. 学习效果的衡量标准(示例学习的优化问题) 2. ID3算法: 输入:例子集(正例、反例);
文件格式: PPT大小: 122.5KB页数: 11
《机器学习》演示文稿(15)
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《机器学习》教材
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《机器学习》推导
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《机器学习》学习规则
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