相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Regression tree ensembles for wind energy and solar radiation prediction
Alberto Torres-Barran et al.
NEUROCOMPUTING (2019)
KiDS-SQuaD II. Machine learning selection of bright extragalactic objects to search for new gravitationally lensed quasars
Vladislav Khramtsov et al.
ASTRONOMY & ASTROPHYSICS (2019)
Machine learning models to predict onset of dementia: A label learning approach
Vijay S. Nori et al.
ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS (2019)
Consensus vote models for detecting and filtering neutrality in sentiment analysis
Ana Valdivia et al.
INFORMATION FUSION (2018)
An up-to-date comparison of state-of-the-art classification algorithms
Chongsheng Zhang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring
Yufei Xia et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Decision forest: Twenty years of research
Lior Rokach
INFORMATION FUSION (2016)
Bioactive Molecule Prediction Using Extreme Gradient Boosting
Ismail Babajide Mustapha et al.
MOLECULES (2016)
An experimental comparison of classification algorithms for imbalanced credit scoring data sets
Iain Brown et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Stochastic gradient boosting
JH Friedman
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
TG Dietterich
MACHINE LEARNING (2000)