search:c4 5 programs for machine learning相關網頁資料

      • www.rulequest.com
        The home page of R. Quinlan with FTP links to FOIL (inductive logic programming) and C4.5 (learning decision trees). [LGPL]
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      • www.cis.temple.edu
        Introduction ID3 and C4.5 are algorithms introduced by Quinlan for inducing Classification Models, also called Decision Trees, from data. We are given a set of records. Each record has the same structure, consisting of a number of attribute/value pairs. O
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    1.8. Decision Trees Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the...
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    Machine Learning – Mini Batch K-Means July 26, 2013 · by Siddharth Agrawal · in Machine Learning · Leave a comment In an earlier post, I had described how DBSCAN is way more efficient(in terms of time) at clustering than K-Means clustering. It turns out t...
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    From the Publisher: Classifier systems play a major role in machine learning and knowledge-based systems, and Ross ......
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    We conjecture that the C4.5 induction algorithm is not taking full advantage ...... C4.5: Programs for Machine Learning....