Results 311 to 320 of about 6,176,379 (373)
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2023
Neural networks are a way to mimic the working of a human brain. Decision trees refer to the decision support structure that uses a tree to make decisions and draw all possible consequences. Decision trees are a way to display conditional control statements.
Deepti Chopra, Roopal Khurana
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Neural networks are a way to mimic the working of a human brain. Decision trees refer to the decision support structure that uses a tree to make decisions and draw all possible consequences. Decision trees are a way to display conditional control statements.
Deepti Chopra, Roopal Khurana
+4 more sources
Decision tree methods: applications for classification and prediction
Shanghai Archives of Psychiatry, 2015Summary Decision tree methodology is a commonly used data mining method for establishing classification systems based on multiple covariates or for developing prediction algorithms for a target variable.
Yanyan Song, Ying Lu
semanticscholar +1 more source
Geocarto International, 2020
In this study, we have developed five spatially explicit ensemble predictive machine learning models for the landslide susceptibility mapping of the Van Chan district of the Yen Bai Province, Vietnam.
B. Pham +9 more
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In this study, we have developed five spatially explicit ensemble predictive machine learning models for the landslide susceptibility mapping of the Van Chan district of the Yen Bai Province, Vietnam.
B. Pham +9 more
semanticscholar +1 more source
Collegian, 2000
Financial cutbacks and budgetary constraints continue to be a part of government policy, and impact deeply on many aspects of daily life in Australia in the late 90s. Health care is not immune from these measures, and nurses and other allied health professionals are having to manage increasingly complex patient care with less funding and resources ...
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Financial cutbacks and budgetary constraints continue to be a part of government policy, and impact deeply on many aspects of daily life in Australia in the late 90s. Health care is not immune from these measures, and nurses and other allied health professionals are having to manage increasingly complex patient care with less funding and resources ...
openaire +2 more sources
2023
In this chapter, we explore the concept of decision trees, prioritizing accessibility by minimizing abstract mathematical theories. We examine a concrete numerical example using a small dataset to predict the suitability of playing tennis based on weather conditions, guiding readers through the process step-by-step. Moreover, we provide sample codes
Zhiyuan Wang +3 more
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In this chapter, we explore the concept of decision trees, prioritizing accessibility by minimizing abstract mathematical theories. We examine a concrete numerical example using a small dataset to predict the suitability of playing tennis based on weather conditions, guiding readers through the process step-by-step. Moreover, we provide sample codes
Zhiyuan Wang +3 more
openaire +1 more source
Online Adaptive Decision Trees
Neural Computation, 2004Decision trees and neural networks are widely used tools for pattern classification. Decision trees provide highly localized representation, whereas neural networks provide a distributed but compact representation of the decision space. Decision trees cannot be induced in the online mode, and they are not adaptive to changing environment, whereas ...
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Efficient and Secure Decision Tree Classification for Cloud-Assisted Online Diagnosis Services
IEEE Transactions on Dependable and Secure Computing, 2019Decision tree classification has become a prevailing technique for online diagnosis services. By outsourcing computation intensive tasks to a cloud server, cloud-assisted online diagnosis services are better ways for cases that the storage and ...
Jinwen Liang +4 more
semanticscholar +1 more source
BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model
Journal on spesial topics in mobile networks and applications, 2019This paper formulates the problem of building a context-aware predictive model based on user diverse behavioral activities with smartphones. In the area of machine learning and data science, a tree-like model as that of decision tree is considered as one
Iqbal H. Sarker +5 more
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Decision Tree Classification with Differential Privacy
ACM Computing Surveys, 2019Data mining information about people is becoming increasingly important in the data-driven society of the 21st century. Unfortunately, sometimes there are real-world considerations that conflict with the goals of data mining; sometimes the privacy of the
Sam Fletcher, M. Islam
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Approximating XGBoost with an interpretable decision tree
Information Sciences, 2021Omer Sagi, L. Rokach
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