Get started
Keyword

small sample prediction

Description: Prediction or forecasting methods designed to operate with limited training data or few observations.
OpenAlex ID: keywords/small-sample-forecasting
Grey system model with the fractional order accumulation
2012 · Lifeng Wu, Sifeng Liu, et al. · Communications in Nonlinear Science and Numerical Simulation · 622
A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings
2020 · Zuozhou Pan, Zong Meng, et al. · Mechanical Systems and Signal Processing · 296
Forecasting energy consumption using a grey model improved by incorporating genetic programming
2010 · Yi-Shian Lee, Lee-Ing Tong · Energy Conversion and Management · 294
Understanding and Comparing Factor-Based Forecasts ∗
2014 · Jean Boivin A, Serena Ng B, et al. · Research Publication Repository of King Fahd University of Petroleum and Minerals (King Fahd University of Petroleum and Minerals) · 242
Variability-aware performance prediction: A statistical learning approach
2013 · Jianmei Guo, Krzysztof Czarnecki, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 229
Models for forecasting growth trends in renewable energy
2016 · Sang-Bing Tsai, Youzhi Xue, et al. · Renewable and Sustainable Energy Reviews · 222
Subset selection for vector autoregressive processes using Lasso
2007 · Nan-Jung Hsu, Hung-Lin Hung, et al. · Computational Statistics & Data Analysis · 203
Remaining useful life prediction of bearings by a new reinforced memory GRU network
2022 · Jianghong Zhou, Yi Qin, et al. · Advanced Engineering Informatics · 182
A novel fractional grey system model and its application
2015 · Shuhua Mao, Mingyun Gao, et al. · Applied Mathematical Modelling · 180
PDF
Forecasting number of ISO 14001 certifications of selected countries: application of even GM (1,1), DGM, and NDGM models
2019 · Muhammad Ikram, Amin Mahmoudi, et al. · Environmental Science and Pollution Research · 171
State Space Models and MIDAS Regressions
2013 · Jennie Bai, Eric Ghysels, et al. · Econometric Reviews · 163
PDF
The effect of sample size on the grey system model
2013 · Lifeng Wu, Sifeng Liu, et al. · Applied Mathematical Modelling · 128
Back-Propagation Neural Network Optimized by K-Fold Cross-Validation for Prediction of Torsional Strength of Reinforced Concrete Beam
2022 · Zhaoqiu Lyu, Yang Yu, et al. · Materials · 121
PDF
Using a Grey–Markov model optimized by Cuckoo search algorithm to forecast the annual foreign tourist arrivals to China
2015 · Xu Sun, Wangshu Sun, et al. · Tourism Management · 120
A new fuzzy time series model based on robust clustering for forecasting of air pollution
2017 · Nevin Güler Dincer, Özge Akkuş · Ecological Informatics · 110
Predictive Fit for Natural Exponential Families
1989 · IAN R. HARRIS · Biometrika · 109
A genetic algorithm based nonlinear grey Bernoulli model for output forecasting in integrated circuit industry
2009 · Li-Chang Hsu · Expert Systems with Applications · 104
Meta-matching as a simple framework to translate phenotypic predictive models from big to small data
2022 · Tong He, Lijun An, et al. · Nature Neuroscience · 99
PDF
Using grey models for forecasting China’s growth trends in renewable energy consumption
2015 · Sang-Bing Tsai · Clean Technologies and Environmental Policy · 97
An optimized nonlinear grey Bernoulli prediction model and its application in natural gas production
2022 · Chong Liu, Tongfei Lao, et al. · Expert Systems with Applications · 93
Application of a new information priority accumulated grey model with time power to predict short-term wind turbine capacity
2019 · Jie Xia, Xin Ma, et al. · Journal of Cleaner Production · 90
PDF
Conditional Forecasts in Dynamic Multivariate Models
2015 · Daniel F. Waggoner, Tao A. Zha · SSRN Electronic Journal · 88
Remaining life prognostics of rolling bearing based on relative features and multivariable support vector machine
2013 · Xuefeng Chen, Zhongjie Shen, et al. · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 88
Forecasting the output of integrated circuit industry using a grey model improved by the Bayesian analysis
2006 · Li-Chang Hsu, Chao-Hung Wang · Technological Forecasting and Social Change · 88
SOC content of global Mollisols at a 30 m spatial resolution from 1984 to 2021 generated by the novel ML-CNN prediction model
2023 · Xiangtian Meng, Yilin Bao, et al. · Remote Sensing of Environment · 85
Works count: 1,402
Citation count: 11,620
Year
Topic
Type