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Researcher revives C4.5 decision tree implementations in Objective-C and C#

Chris J. Karr, a researcher, has developed clean-room implementations of the C4.5 decision tree algorithm in Objective-C and C#. He is considering reviving these implementations from his graduate school work on context-sensing to create proper software packages. AI

IMPACT This is a personal project update with no immediate industry impact.

RANK_REASON The item discusses a researcher's personal project and potential future work, rather than a new release, significant industry event, or academic research.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Researcher revives C4.5 decision tree implementations in Objective-C and C#

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The item discusses a researcher's personal project and potential future work, rather than a new release, significant industry event, or academic research.
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COVERAGE [2]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    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 a

    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…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    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 a

    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…