Results 11 to 20 of about 258,206 (308)
Atmosphere, 2021 Precise quantification of evaporation has a vital role in effective crop modelling, irrigation scheduling, and agricultural water management. In recent years, the data-driven models using meta-heuristics algorithms have attracted the attention of ...
Nand Lal Kushwaha +7 more
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Extremely randomized trees [PDF]
Machine Learning, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Geurts, Pierre +2 more
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Parking on a Random Tree [PDF]
Combinatorics, Probability and Computing, 2018 Consider a uniform random rooted labelled tree on n vertices. We imagine that each node of the tree has space for a single car to park. A number m ≤ n of cars arrive one by one, each at a node chosen independently and uniformly at random. If a car arrives at a space which is already occupied, it follows the unique path towards the root until it ...
Christina Goldschmidt, Michal Przykucki
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Journal of Hydroinformatics, 2023 In this study, the vote algorithm used to improve the performances of three machine-learning models including M5Prime (M5P), random forest (RF), and random tree (RT) is developed (i.e. V-M5P, V-RF, and V-RT).
Javad Hatamiafkoueieh +8 more
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Predicting the Pillar Stability of Underground Mines with Random Trees and C4.5 Decision Trees
Applied Sciences, 2020 Predicting pillar stability in underground mines is a critical problem because the instability of the pillar can cause large-scale collapse hazards. To predict the pillar stability for underground coal and stone mines, two new models (random tree and C4 ...
Mahmood Ahmad +5 more
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Random Trees in Random Graphs [PDF]
Proceedings of the American Mathematical Society, 1988 We show that a random labeled n n -vertex graph almost surely contains isomorphic copies of almost all labeled
Bender, E. A., Wormald, N. C.
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Epileptic Seizure Detection in EEGs by Using Random Tree Forest, Naïve Bayes and KNN Classification [PDF]
, 2020 Epilepsy is a disease that attacks the nerves. To detect epilepsy, it is necessary to analyze the results of an EEG test. In this study, we compared the naive bayes, random tree forest and K-nearest neighbour (KNN) classification algorithms to detect ...
Lestari, Fauzi P +5 more
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Random assignment and shortest path problems [PDF]
Discrete Mathematics & Theoretical Computer Science, 2006 We explore a similarity between the $n$ by $n$ random assignment problem and the random shortest path problem on the complete graph on $n+1$ vertices. This similarity is a consequence of the proof of the Parisi formula for the assignment problem given by
Johan Wästlund
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Random projection tree similarity metric for SpectralNet
Array, 2023 SpectralNet is a graph clustering method that uses neural network to find an embedding that separates the data. So far it was only used with k-nn graphs, which are usually constructed using a distance metric (e.g., Euclidean distance).
Mashaan Alshammari +3 more
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Fuzzy Inference System Mamdani dalam Prediksi Produksi Kain Tenun Menggunakan Rule Berdasarkan Random Tree [PDF]
, 2022 Kain tenun merupakan salah satu produk yang diminati oleh banyak orang. Hal ini menjadi pemicu produsen untuk meningkatkan pengelolahannya. Salah satu usaha yang dilakukan adalah memprediksi produksi yang dapat dilakukan untuk mendapatkan jumlah optimal ...
Shoffan Saifullah +3 more
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