learning decision trees
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H.263 to H.264 Transconding Using Data Mining
White Paper The paper uses machine learning tools to exploit the correlation and derive decision trees to classify the incoming H.263 MC residual into one of the several coding modes in H.264. This... [01 Oct 2008]
Learning to Predict Forest Fires With Different Data Mining Techniques
White Paper On these datasets they applied logistic regression and decision trees (J48), as well as random forests, bagging and boosting of decision trees, in order to obtain... [01 Oct 2008]
Decision Tree Classifier for Network Intrusion Detection With GA-Based Feature Selection
White Paper Machine Learning techniques such as Genetic Algorithms and Decision Trees have been applied to the field of intrusion detection for more than a decade. Machine Learning... [10 Jul 2008]
Modeling Intrusion Detection System Using Hybrid Intelligent Systems
White Paper Decision Trees (DT) and Support Vector Machines (SVM) are combined as a hierarchical hybrid intelligent system model (DT - SVM) and an ensemble approach combining the base classifiers. The hybrid... [10 Jul 2008]
Evolving Intrusion Detection Systems
White Paper Results are then compared with some machine learning techniques like Support Vector Machines (SVM) and Decision Trees (DT). An Intrusion Detection System (IDS) is a program that analyzes... [03 Jul 2008]
Boosted Decision Trees for Project Risk Assessment and Pricing
White Paper It focuses in particular on "Stumps", which are one-level decision trees, and Alternating Decision Trees (ADT), which are more complex tree models. This paper presents a... [12 Apr 2005]
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