Results 131 to 140 of about 305,651 (314)
CBERS-02 Remote Sensing Data Mining Using Decision Tree Algorithm
, 2008 In recent years, decision tree algorithms have been successfully used for land cover classification from remote sensing data. In this paper, CART (classification and regression trees) and C5.0 decision tree algorithms were used to CBERS-02 remote sensing
Guangdao Hu Xiaofeng Yang, Xingping Wen
core
Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading
Advanced Engineering Materials, EarlyView.The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley +1 more source
Cost-Sensitive Decision Trees with Completion Time Requirements [PDF]
In many classification tasks, managing costs and completion times are the main concerns. In this paper, we assume that the completion time for classifying an instance is determined by its class label, and that a late penalty cost is incurred if the ...
Hung-Pin KAO, Kwei TANG, Jen TANG
core
Application of Spatial Decision Tree in Identifying Mangrove Area using C4.5 Algorithm [PDF]
, 2009 East Borneo is one of provinces fn Indonesia that has potential coast teritory for mangrove's growth. This work uses a spatio/ data mining method, especially spatio/ decision tree using C4.5 algorithm to develop a classifier to predict new data of ...
Sitanggang, Imas Sukaesih +2 more
core
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Scientific ReportsThe current power grid business handles massive data operations where data retrieval frequently encounters redundancy issues. Conventional decision tree-based methods struggle to achieve accurate data acquisition when facing redundant interference.
Wei Sun +5 more
doaj +1 more source
Evidential Decision Tree Based on Belief Entropy
Entropy, 2019 Decision Tree is widely applied in many areas, such as classification and recognition. Traditional information entropy and Pearson’s correlation coefficient are often applied as measures of splitting rules to find the best splitting attribute ...
Mujin Li, Honghui Xu, Yong Deng
doaj +1 more source
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
AxiomsIn this paper, an efficient algorithm for modeling the operation of a DDT (Deterministic Decision Tree) solving the problem of realizability of DRs (Decision Rules) is proposed and analyzed.
Kerven Durdymyradov, Mikhail Moshkov
doaj +1 more source