Markov approximation of arbitrary random field on homogeneous trees [PDF]
Weicai Peng, Weiguo Yang, Peishu Chen
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D2TS: a dual diversity tree selection approach to pruning of random forests [PDF]
Hani Ragab Hassen +3 more
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optRF: Optimising random forest stability by determining the optimal number of trees
Machine learning is frequently used to make decisions based on big data. Among these techniques, random forest is particularly prominent. Although random forest is known to have many advantages, one aspect that is often overseen is that it is a non ...
Thomas M. Lange +3 more
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Robotic Active Information Gathering for Spatial Field Reconstruction with Rapidly-Exploring Random Trees and Online Learning of Gaussian Processes. [PDF]
Viseras A, Shutin D, Merino L.
europepmc +1 more source
A Predictive Classification Method for Email Phishing Attacks u sing Random Forest and A R trees
Sanjitha M +3 more
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Consistency of Oblique Decision Tree and its Boosting and Random Forest [PDF]
Haoran Zhan, Yu Liu, Yingcun Xia
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Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees [PDF]
Tin Lai, Fábio Ramos, Gilad Francis
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The Random Buffer Tree : A Randomized Technique for I/O-efficient Algorithms [PDF]
Saju Jude Dominic, G. Sajith
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A Central Limit Theorem for Random Walk in a Random Environment on a Marked Galton-Watson Tree. [PDF]
Gabriel Faraud
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Random Trees and the Analysis of Branch and Bound Procedures [PDF]
Douglas R. Smith
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