A Regression Model Tree Algorithm by Multi-task Learning

Industrial Engineering & Management Systems ◽

10.7232/iems.2021.20.2.163 ◽

2021 ◽

Vol 20 (2) ◽

pp. 163-171

Author(s):

Seeun Jo ◽

Chi-Hyuck Jun

Keyword(s):

Regression Model ◽

Tree Algorithm ◽

Task Learning ◽

Download Full-text

Structural Reliability Analysis of Corroded Pipeline made in X60 Steel Based on M5 Model Tree Algorithm and Monte Carlo Simulation

Procedia Structural Integrity ◽

10.1016/j.prostr.2018.12.349 ◽

2018 ◽

Vol 13 ◽

pp. 1670-1675 ◽

Author(s):

Mohamed Seghier ◽

Behrooz Keshtegar ◽

José Correia ◽

Abílio De Jesus ◽

G. Lesiuk

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Reliability Analysis ◽

Structural Reliability ◽

M5 Model Tree ◽

Tree Algorithm ◽

Structural Reliability Analysis ◽

M5 Model ◽

Download Full-text

A novel combined multi-task learning and Gaussian process regression model for the prediction of multi-timescale and multi-component of solar radiation

Journal of Cleaner Production ◽

10.1016/j.jclepro.2020.124710 ◽

2021 ◽

Vol 284 ◽

pp. 124710 ◽

Author(s):

Yong Zhou ◽

Yanfeng Liu ◽

Dengjia Wang ◽

Gejirifu De ◽

Yong Li ◽

...

Keyword(s):

Solar Radiation ◽

Regression Model ◽

Gaussian Process ◽

Gaussian Process Regression ◽

Download Full-text

Modeling of Sediment Yield Prediction Using M5 Model Tree Algorithm and Wavelet Regression

Water Resources Management ◽

10.1007/s11269-014-0590-6 ◽

2014 ◽

Vol 28 (7) ◽

pp. 1991-2003 ◽

Author(s):

Manish Kumar Goyal

Keyword(s):

Sediment Yield ◽

Yield Prediction ◽

M5 Model Tree ◽

Tree Algorithm ◽

Wavelet Regression ◽

Download Full-text

Dynamic modeling of solid oxide fuel cell stack based on local linear model tree algorithm

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2011.11.149 ◽

2012 ◽

Vol 37 (5) ◽

pp. 4367-4376 ◽

Author(s):

H. Marzooghi ◽

M. Raoofat ◽

M. Dehghani ◽

G.H. Elahi

Keyword(s):

Fuel Cell ◽

Solid Oxide Fuel Cell ◽

Linear Model ◽

Dynamic Modeling ◽

Solid Oxide ◽

Tree Algorithm ◽

Fuel Cell Stack ◽

Download Full-text

Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm

Construction and Building Materials ◽

10.1016/j.conbuildmat.2017.03.061 ◽

2017 ◽

Vol 142 ◽

pp. 199-207 ◽

Author(s):

Ali Behnood ◽

Venous Behnood ◽

Mahsa Modiri Gharehveran ◽

Kursat Esat Alyamac

Keyword(s):

Compressive Strength ◽

High Performance ◽

Tree Algorithm ◽

Download Full-text

Implementation of Principal Component Analysis for Diagnosing Lung Cancer Using Logistic Model Tree Algorithm & J48 Algorithm

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2019.6152 ◽

2019 ◽

Vol 7 (6) ◽

pp. 886-892

Author(s):

Firoz Sajad

Keyword(s):

Lung Cancer ◽

Principal Component Analysis ◽

Logistic Model ◽

Principal Component ◽

Component Analysis ◽

Tree Algorithm ◽

Logistic Model Tree

Download Full-text

Predicting modulus elasticity of recycled aggregate concrete using M5′ model tree algorithm

Construction and Building Materials ◽

10.1016/j.conbuildmat.2015.06.055 ◽

2015 ◽

Vol 94 ◽

pp. 137-147 ◽

Author(s):

Ali Behnood ◽

Jan Olek ◽

Michal A. Glinicki

Keyword(s):

Recycled Aggregate Concrete ◽

Recycled Aggregate ◽

M5 Model Tree ◽

Aggregate Concrete ◽

Tree Algorithm ◽

Download Full-text

Prediction of effective porosity from seismic attributes using locally linear model tree algorithm

Geophysical Prospecting ◽

10.1111/1365-2478.12212 ◽

2015 ◽

Vol 63 (3) ◽

pp. 680-693

Author(s):

Ahmad Ashtari Talkhestani

Keyword(s):

Linear Model ◽

Seismic Attributes ◽

Effective Porosity ◽

Tree Algorithm ◽

Locally Linear Model Tree ◽

Download Full-text

An application of locally linear model tree algorithm with combination of feature selection in credit scoring

International Journal of Systems Science ◽

10.1080/00207721.2013.767395 ◽

2013 ◽

Vol 45 (10) ◽

pp. 2213-2222 ◽

Author(s):

Mohammad Siami ◽

Mohammad Reza Gholamian ◽

Javad Basiri

Keyword(s):

Feature Selection ◽

Linear Model ◽

Credit Scoring ◽

Tree Algorithm ◽

Locally Linear Model Tree ◽

Download Full-text

Prediction of Compressive Strength of Concrete Using M5’ Model Tree Algorithm: A Parametric Study

Advances in Intelligent Systems and Computing - Progress in Advanced Computing and Intelligent Engineering ◽

10.1007/978-981-10-6872-0_40 ◽

2018 ◽

pp. 425-432

Author(s):

Sarthak Jain ◽

S. V. Barai

Keyword(s):

Compressive Strength ◽

Parametric Study ◽

M5 Model Tree ◽

Tree Algorithm ◽

Compressive Strength Of Concrete ◽

Download Full-text