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Applying a random forest method approach to model travel mode choice behavior
Travel Behaviour & Society, 2019The analysis of travel mode choice is important in transportation planning and policy-making in order to understand and forecast travel demands. Research in the field of machine learning has been exploring the use of random forest as a framework within ...
Long Cheng +4 more
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Combinatorics, Probability and Computing, 1992
A forest ℱ(n, M) chosen uniformly from the family of all labelled unrooted forests with n vertices and M edges is studied. We show that, like the Érdős-Rényi random graph G(n, M), the random forest exhibits three modes of asymptotic behaviour: subcritical, nearcritical and supercritical, with the phase transition at the point M = n/2.
Łuczak, Tomasz, Pittel, Boris
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A forest ℱ(n, M) chosen uniformly from the family of all labelled unrooted forests with n vertices and M edges is studied. We show that, like the Érdős-Rényi random graph G(n, M), the random forest exhibits three modes of asymptotic behaviour: subcritical, nearcritical and supercritical, with the phase transition at the point M = n/2.
Łuczak, Tomasz, Pittel, Boris
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Random Forest Pruning Techniques: A Recent Review
Operations Research Forum, 2023Youness Manzali, M. Elfar
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Noble-Metal Based Random Alloy and Intermetallic Nanocrystals: Syntheses and Applications
Chemical Reviews, 2021Ming Zhou, Can Li, Jiye Fang
exaly
A compute-in-memory chip based on resistive random-access memory
Nature, 2022Weier Wan +2 more
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Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling
Journal of chemical information and computer sciences, 2003V. Svetnik +5 more
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Applications of random forest in multivariable response surface for short-term load forecasting
International Journal of Electrical Power & Energy Systems, 2022Guo-Feng Fan +4 more
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Computational advantage of quantum random sampling
Reviews of Modern Physics, 2023Dominik Hangleiter, Jens Eisert
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