Random trees
Robotic path planning using rapidly exploring random trees
... One such efficient algorithm to find a collision-free path for the movement of autonomous bodies is Rapidly exploring random trees (RRT). RRTs may be defined as the randomized data structures which can be ...
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Balance in Random Trees
... We will use only the upper bound in the inequality of Remark 4.2. Besides the upper bound on the maximum degree in random trees, we also need a lower bound on the number of vertices with degree 1, and with ...
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Coronary Artery Disease Diagnosis: Ranking the Significant Features Using Random Trees Model
... Hence, in this paper, has been paid attention on heart disease case study in order to apply a prediction method on coronary artery disease [6,12]. One way to accurately diagnose this disease is to use data mining methods ...
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Local extrema in random trees
... labelled trees is the subject of a number of ...labelled trees of several types according to the number of ascents and descents are given in ...labelled trees according to the number of descents and ...
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Privacy Preserving Random Decision Trees over Randomly Partitioned Dataset
... The process for generating a tree is as follows. First, start with a list of features or attributes from the data set. Generate a tree by randomly choosing one of the features without using any training data. The tree ...
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The eccentric connectivity index of bucket recursive trees
... The eccentric connectivity index ξ n c is a distance-based molecular structure descriptor that was recently used for mathematical modelling of biological activities of diverse nature. In this paper, we showed the first ...
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Random ultrametric trees and applications*
... of random trees whose spheres are CPPs with finite intensity measure (derogating to our definition of combs having dense support) and which have applications in evolutionary ...
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On the first variable Zagreb index
... Since the structures of many molecules are tree like, our interest here is to study the first variable Zagreb index of increasing trees. Several other topological indices of random trees have been ...
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Are formal restrictions on crossing dependencies epiphenominal?
... dependency trees is a crucial task for building parsers and understanding the formal properties of human ...dependency trees, or whether the distribution can be explained using other, more generic ...
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The Subtree Size Profile of Bucket Recursive Trees
... This kind of profile is an important tree characteristic carrying a lot of information on the shape of a tree. For instance, total path length (sum of distances of all nodes to the root) and Wiener index (sum of ...
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Simple And Ensemble Decision Tree Classifier Based Detection Of Breast Cancer
... Decision trees are of various types ID3(Iterative Dichotomiser 3), ...Inference Trees, CRUISE(Classification Rule with Unbiased Interaction Selection and Estimation),GUIDE(Generalized, Unbiased, Interaction ...
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Generating Tree Lists by Fusing Individual Tree Detection and Nearest Neighbor Imputation Using Airborne LiDAR Data
... large trees. For small trees, two ap- proaches have been used including—the complete Weibull distribution with the parameter prediction method and the left-truncated Weibull distribution with estimation of ...
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Random Forests, Decision Trees, and Categorical Predictors: The "Absent Levels" Problem
... the random forests ...Cutler’s random forests FORTRAN code and the randomForest R package to motivate our investigations into the potential issues that can emerge when the absent levels problem is ...
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Random Walks and Trees
... The following model is borrowed from the well-known paper of Derrida and Spohn [22]: Let T be a rooted Cayley tree; we study all self-avoiding walks (= directed polymers) of n steps on T starting from the root. To each ...
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Privacy Preserving Data Mining in Distributed System using RDT Framework
... distributed. Random Decision Tree framework can used for privacy preserving data ...mining. Random decision trees (RDT) shows that it is possible to generate equivalent and accurate models with much ...
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Download
... decision trees with respect to ...availability. Random forest uses many decision trees simultaneously for prediction so that it can avoid the negative effect of irrelevant ...decision trees or ...
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Biased random walk on critical Galton–Watson trees conditioned to survive
... biased random walks on critical ...biased random walk on a critical Galton–Watson tree conditioned to ...biased random walk on the incipient infinite cluster for critical percolation on Z d , at ...
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Machine Learning Classification of Interplanetary Coronal Mass Ejections Using Satellite Accelerometers
... Space weather phenomena is a complex area of research. An eruption of energy on the sur- face of the Sun sends high-energy particles towards Earth, a signature of the beginning of an event known as an Interplanetary ...
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Random Intersection Trees
... There are many diverse ways in which interactions that solve (1) can be used in further analysis. The interactions may be of interest in their own right as shown in both numerical examples. One can also simply use the ...
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Improving Classification Accuracy based on Random Forest Model with Uncorrelated High Performing Trees
... and random feature selection [3, 4] to individual classification or regression trees for ...-13]. Random Forest classifiers [1] attract increasing attention within the computer vision ...like ...
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