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Testing Phylogenetic Placement Accuracy of DNA Barcode Sequences on a Fish Backbone Tree: Implications of Backbone Tree Completeness and Species Representation. [PDF]

Ecol Evol
Fernando MATM, Fu J, Adamowicz SJ.
europepmc   +1 more source

Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework. [PDF]

Sci Rep
Halder K, Srivastava AK, Ghosh A, Das S, Banerjee S, Pal SC, Chatterjee U, Bisai D, Ewert F, Gaiser T.   +9 more
europepmc   +1 more source

Minimal vertex covers of random trees

, 2004
Stéphane Coulomb
openalex   +1 more source

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Node classification in random trees

International Symposium on Intelligent Data Analysis, 2023
We propose a method for the classification of objects that are structured as random trees. Our aim is to model a distribution over the node label assignments in settings where the tree data structure is associated with node attributes (typically high ...
Wouter W. L. Nuijten, V. Menkovski
semanticscholar   +1 more source

Rapidly-exploring Random Trees for Testing Automated Vehicles

International Conference on Intelligent Transportation Systems, 2019
One of the expectations from fully or partially automated vehicles is to never cause an accident and actively avoid dangerous situations. However, an automated vehicle may not be able to avoid all collisions, e.g., collisions caused by other vehicles ...
Cumhur Erkan Tuncali, Georgios Fainekos
semanticscholar   +1 more source

Efficient Sampling With Q-Learning to Guide Rapidly Exploring Random Trees

IEEE Robotics and Automation Letters, 2018
This letter presents a novel approach for efficient sampling of Rapidly-exploring Random Trees (RRTs) based upon learning a state-action value function (Q-function).
Jinwook Huh, Daniel D. Lee
semanticscholar   +1 more source

Learning high-dimensional Mixture Models for fast collision detection in Rapidly-Exploring Random Trees

IEEE International Conference on Robotics and Automation, 2016
This paper presents a new approach for fast collision detection in high dimensional configuration spaces for Rapidly-exploring Random Trees (RRT) motion planning.
Jinwook Huh, Daniel D. Lee
semanticscholar   +1 more source

The Gini index of random trees with an application to caterpillars

Journal of Applied Probability, 2017
We propose two distance-based topological indices (level index and Gini index) as measures of disparity within a single tree and within tree classes. The level index and the Gini index of a single tree are measures of balance within the tree.
H. Balaji, Hosam M. Mahmoud
semanticscholar   +1 more source