Reducing the effect of sample bias for small data sets with double‐weighted support vector transfer regression
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Reducing the effect of sample bias for small data sets with double‐weighted support vector transfer regression
Authors
Keywords
-
Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-09-02
DOI
10.1111/mice.12617
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A locally weighted machine learning model for generalized prediction of drift capacity in seismic vulnerability assessments
- (2019) Huan Luo et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Modes, Mechanisms, and Likelihood of Seismic Shear Failure in Rectangular Reinforced Concrete Columns
- (2019) Jingjing Hua et al. JOURNAL OF STRUCTURAL ENGINEERING
- Deep Transfer Learning for Image-Based Structural Damage Recognition
- (2018) Yuqing Gao et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Machine Learning–Based Backbone Curve Model of Reinforced Concrete Columns Subjected to Cyclic Loading Reversals
- (2018) Huan Luo et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Optimal Bayesian Transfer Regression
- (2018) Alireza Karbalayghareh et al. IEEE SIGNAL PROCESSING LETTERS
- Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes
- (2018) Mohammad Hossein Rafiei et al. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
- Seeded transfer learning for regression problems with deep learning
- (2018) Syed Moshfeq Salaken et al. EXPERT SYSTEMS WITH APPLICATIONS
- Novel nonparametric modeling of seismic attenuation and directivity relationship
- (2016) Ka-Veng Yuen et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units
- (2016) Mohammad Hossein Rafiei et al. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
- A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units
- (2016) Mohammad Hossein Rafiei et al. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
- Smart Artificial Firefly Colony Algorithm-Based Support Vector Regression for Enhanced Forecasting in Civil Engineering
- (2015) Jui-Sheng Chou et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Novel Outlier-Resistant Extended Kalman Filter for Robust Online Structural Identification
- (2015) He-Qing Mu et al. JOURNAL OF ENGINEERING MECHANICS
- Novel Outlier-Resistant Extended Kalman Filter for Robust Online Structural Identification
- (2015) He-Qing Mu et al. JOURNAL OF ENGINEERING MECHANICS
- Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups
- (2014) Amir H. Gandomi et al. APPLIED SOFT COMPUTING
- Statistical models for shear strength of RC beam-column joints using machine-learning techniques
- (2014) Jong-Su Jeon et al. EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
- Multi-transfer: Transfer learning with multiple views and multiple sources
- (2014) Ben Tan et al. Statistical Analysis and Data Mining
- Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams
- (2013) Min-Yuan Cheng et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Domain adaptation and sample bias correction theory and algorithm for regression
- (2013) Corinna Cortes et al. THEORETICAL COMPUTER SCIENCE
- A novel probabilistic method for robust parametric identification and outlier detection
- (2012) Ka-Veng Yuen et al. PROBABILISTIC ENGINEERING MECHANICS
- Support vector regression based shear strength modelling of deep beams
- (2011) Mahesh Pal et al. COMPUTERS & STRUCTURES
- Modelling mechanical behaviour of rubber concrete using evolutionary polynomial regression
- (2011) Alireza Ahangar‐Asr et al. ENGINEERING COMPUTATIONS
- A robust predictive model for base shear of steel frame structures using a hybrid genetic programming and simulated annealing method
- (2011) Pejman Aminian et al. NEURAL COMPUTING & APPLICATIONS
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Convex multi-task feature learning
- (2008) Andreas Argyriou et al. MACHINE LEARNING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More