研究员Chris J. Karr用Objective-C和C#开发了C4.5决策树算法的干净房间实现。他正在考虑重新启用他在研究生期间关于上下文感知的成果，以创建合适的软件包。 AI
影响 这是一个个人项目更新，没有立即的行业影响。
排序理由 该条目讨论的是一位研究人员的个人项目和潜在的未来工作，而不是新发布、重要的行业事件或学术研究。
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研究人员重新启用Objective-C和C#中的C4.5决策树实现
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Commentary
- 该条目讨论的是一位研究人员的个人项目和潜在的未来工作，而不是新发布、重要的行业事件或学术研究。
- Source corroboration
- 2 independent sources
- Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
- Topics
- other
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- Standard
- On-topic for AI-industry coverage; kept in the public index.
- Story freshness
- 65 days old
- Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
完整方法见我们的编辑标准。
报道来源 [2]
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我从研究生时期的情境感知工作中，在 Objective-C 和 C# 中拥有 C4.5 决策树的干净实现。我应该把它们掸掉灰尘，重新启用
I have clean room implementations of the C4.5 decision tree in both Objective-C and C# from my context-sensing work in graduate school. I should dust them off and turn them into proper software packages one of these days. #C45DecisionTree #DecisionTree #MachineLearning #Artificia…
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我拥有在研究生期间的上下文感知工作中用Objective-C和C#编写的C4.5决策树的干净实现。我应该把它们翻出来再看看
I have clean room implementations of the C4.5 decision tree in both Objective-C and C# from my context-sensing work in graduate school. I should dust them off and turn them into proper software packages one of these days. #C45DecisionTree #DecisionTree #MachineLearning #Artificia…