Amanote Research
Register
Sign In
Pruning in Ordered Regression Bagging Ensembles
doi 10.1109/ijcnn.2006.246837
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2006
Authors
D. Hernandez-Lobato
G. Martinez-Munoz
A. Suarez
Publisher
IEEE
Related search
Censoring Unbiased Regression Trees and Ensembles
Journal of the American Statistical Association
Uncertainty
Statistics
Probability
Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
Applied Sciences (Switzerland)
Instrumentation
Materials Science
Fluid Flow
Engineering
Computer Science Applications
Process Chemistry
Transfer Processes
Technology
Neural Network Ensembles Using Interval Neutrosophic Sets and Bagging for Mineral Prospectivity Prediction and Quantification of Uncertainty
Bagging Predictors
Machine Learning
Artificial Intelligence
Software
Bagging Regularizes
An Ordered Regression Model to Predict Transit Passengers’ Behavioural Intentions
Case Studies on Transport Policy
Development
Urban Studies
Planning
Transportation
Geography
Trendy: Segmented Regression Analysis of Expression Dynamics in High-Throughput Ordered Profiling Experiments
BMC Bioinformatics
Biochemistry
Applied Mathematics
Computer Science Applications
Structural Biology
Molecular Biology
Using Recursive Residuals, Calculated on Adaptively-Ordered Observations, to Identify Outliers in Linear Regression
Biometrics
Statistics
Genetics
Probability
Molecular Biology
Biochemistry
Applied Mathematics
Microbiology
Immunology
Biological Sciences
Medicine
Agricultural
Pruning in Alberta /