«classification tree»
۲۱٬۵۶۹ نتیجهANALYSIS OF KIDNEY VOLUME AND FUNCTIONAL OUTCOMES USING SURVIVAL AND CLASSIFICATION TREE MODELS by
Tree models have been widely used for clustering problems in areas like evidence-based decision-making, machine learning and data mining. The inherent properties of tree models, e.g. recursively dividing sample space, make it more flexible and superior in situation of nonlinear c
Classification trees as an alternative to linear discriminant analysis.
Linear discriminant analysis (LDA) is frequently used for classification/prediction problems in physical anthropology, but it is unusual to find examples where researchers consider the statistical limitations and assumptions required for this technique. In these instances, it is
A Complete Characterisation of the Classification Tree Problem
Finding a classification tree over a given set of elements that is compatible with a given family of classification trees over subsets of that set is a common problem in many application areas, such as the historical analysis of languages, the theory of relational databases, and
Binary Classification Tree with Tuned Observation-based Clustering
There are several approaches for handling multiclass classification. Aside from one-against-one (OAO) and one-against-all (OAA), hierarchical classification technique is also commonly used. A binary classification tree is a hierarchical classification structure that breaks down a
Variable Selection Bias in Classification Trees Based on Imprecise Probabilities
Classification trees are a popular statistical tool with multiple applications. Recent advancements of traditional classification trees, such as the approach of classification trees based on imprecise probabilities by Abellán and Moral (2005), effectively address their tendency t
Evaluation of a New Incremental Classification Tree Algorithm for Mining High Speed Data Streams
Abstract—A new model for online machine learning process of high speed data stream is proposed, to minimize the severe restrictions associated with the existing computer learning algorithms. Most of the existing models have three principle steps. In the first step, the system wou
Process monitoring based on classification tree and discriminant analysis
To cope with the computational intensity associated with classification tree analysis and the multicolinearity in the process data, a newly developed process monitoring scheme integrating classification tree and Fisher Discriminant Analysis (FDA) is developed. FDA extracts the mo
Wetland monitoring using classification trees and SPOT - 5 seasonal time series
1 Multi-season reflectance data from radiometrically and geometrically corrected 2 multispectral SPOT-5 images of 10-m resolution were combined with thorough field campaigns 3 and land cover digitizing using a binary classification tree algorithm to estimate the area of 4 marshes
Variable Selection in Classification Trees Based on Imprecise Probabilities
Classification trees are a popular statistical tool with multiple applications. Recent advancements of traditional classification trees, such as the approach of classification trees based on imprecise probabilities by Abellán and Moral (2004), effectively address their tendency t
Classification tree method for bacterial source tracking with antibiotic resistance analysis data.
Various statistical classification methods, including discriminant analysis, logistic regression, and cluster analysis, have been used with antibiotic resistance analysis (ARA) data to construct models for bacterial source tracking (BST). We applied the statistical method known a