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Showing 1 to 4 of 4 for “"Tree-based method"”.

  1. Edge-unfolding almost-flat convex polyhedral terrains

    … We demonstrate how to determine whether cut-trees of such almost-at terrains unfold and prove that, in this context, any partial cut-tree which unfolds without overlap and "opens" at a root edge can be locally extended by a neighboring edge of this root edge. We show that, for certain (but …

    mit Repository record for Edge-unfolding almost-flat convex polyhedral terrains (opens in a new tab)

  2. Hoeffding-Tree-Based Learning from Data Streams and Its Application in Online Voltage Security Assessment

    … (PDCs). Periodically updated decision trees (DTs) have been applied in different subjects of security assessments in power systems. However, with a training data set of operating conditions that grows rapidly, re-training and restructuring a decision tree becomes a time-consuming …

    vt Repository record for Hoeffding-Tree-Based Learning from Data Streams and Its Application in Online Voltage Security Assessment (opens in a new tab)

  3. Bayesian treed distributed lag models

    … The distributed lag model (DLM) is a statistical method commonly implemented to estimate an exposure-time-response function by regressing the outcome on repeated measures of a single exposure over a preceding time period, for example, mean exposure during each week of pregnancy. Inferential goals …

    colostate Repository record for Bayesian treed distributed lag models (opens in a new tab)

  4. Tree-based Methods for Learning Probability Distributions

    … and mainly discussed herein are two types of new tree-based methods: a single-tree method and an ensemble method. The new single tree method, the main topic of Chapter 2, is introduced by constructing a generalized Polya tree process, that is, a new Bayesian nonparametric model, equipped with a …

    duke Repository record for Tree-based Methods for Learning Probability Distributions (opens in a new tab)