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International Journal of Electrical Power and Energy Systems, ISSN 0142-0615, 12/2016, Volume 83, pp. 49 - 57
In a developing country like Pakistan, where the electrical power demand is more than the generated power, maintaining the power system stability is a big... 
Feed forward back propagation model | Power system stability | Bootstrap aggregating or bagging | Artificial neural network | Optimal load shedding | Disjoint partition | SYSTEM | ENGINEERING, ELECTRICAL & ELECTRONIC | Neural networks | Algorithms | Case studies | Electrical engineering | Analysis | Developing countries | Electric power systems
Journal Article
Journal of Manufacturing Science and Engineering, ISSN 1087-1357, 10/2017, Volume 139, Issue 10, pp. 101003 - 101003-11
In resistance spot welding (RSW), data inconsistency is a well-known issue. Such inconsistent data are usually treated as noise and removed from the original... 
bootstrap aggregating | design decisions | resistance spot welding | support vector regression | noisy data | meta-modeling | LIFE-CYCLE ASSESSMENT | DESIGN | PARAMETER OPTIMIZATION | LAND | CLASSIFICATION | ENGINEERING, MECHANICAL | PARTICLE SWARM OPTIMIZATION | MACHINE ENSEMBLE | NEURAL-NETWORK | ENGINEERING, MANUFACTURING | SELECTION
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 02/2008, Volume 29, Issue 3, pp. 265 - 271
Bagging is based on the combination of models fitted to bootstrap samples of a training data set. There is considerable evidence that such ensemble method can... 
Multilayer perceptron | Decision trees | Bagging | Reduced bootstrap | JACKKNIFE | reduced bootstrap | bagging | decision trees | multilayer perceptron | SAMPLES | IDENTIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Algorithms | Data mining | Neural networks | Analysis
Journal Article
Reliability Engineering and System Safety, ISSN 0951-8320, 2018
Control room operators respond to abnormal situations through a series of cognitively demanding activities, e.g., monitoring, detection, diagnosis, and... 
Support vector machine | Physiological response | Eye tracking | Bootstrap aggregating | Human reliability analysis
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 2008, Volume 52, Issue 4, pp. 2249 - 2260
Microarray studies yield data sets consisting of a large number of candidate predictors (genes) on a small number of observations (samples). When interest lies... 
Random forest | Variable importance | Classification tree | Bootstrap aggregating | bootstrap aggregating | variable importance | BIAS | CLASSIFICATION TREES | SUBSETS | classification tree | STATISTICS & PROBABILITY | MECHANISMS | random forest | SPLIT SELECTION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | LEUKEMIA | MACHINE
Journal Article
IEEE Transactions on Power Delivery, ISSN 0885-8977, 08/2019, Volume 34, Issue 4, pp. 1478 - 1489
Journal Article
Journal of Hydrology, ISSN 0022-1694, 01/2013, Volume 477, pp. 119 - 128
► We use classification and regression trees for streamflow forecasting, first. ► We employ the support vector regression model as the benchmark model. ► We... 
Streamflow prediction | Support vector regression | Ensemble learning | Classification and regression trees | Bagging (bootstrap aggregating) | Stochastic gradient boosting | ENGINEERING, CIVIL | GEOSCIENCES, MULTIDISCIPLINARY | WATER RESOURCES | NEURAL-NETWORK ENSEMBLES | MACHINE | Streamflow | Analysis
Journal Article
Science of the Total Environment, ISSN 0048-9697, 05/2018, Volume 622-623, pp. 436 - 445
Olive cultivation is of great importance in Southern Europe but olive pollen is the leading cause of allergy in many regions where it is grown. The best... 
Olea pollen degree of exposure classes | Meteorological variables | Pollen forecasting | Airborne pollen modeling | Bootstrap aggregating | Olive pollen | REGRESSION | ENVIRONMENTAL SCIENCES | EUROPAEA | PREDICT | FLOWER | SEASON | Air Pollutants - analysis | Allergens - analysis | Europe | Humans | Pollen | Seasons | Olea | Spain | Weather | Analysis | Index Medicus
Journal Article
Biometrics, ISSN 0006-341X, 06/2019, Volume 75, Issue 2, pp. 674 - 684
An ENsemble Deep Learning Optimal Treatment (EndLot) approach is proposed for personalized medicine problems. The statistical framework of the proposed method... 
high‐dimensional data | outcome weighted learning | Bootstrap aggregating | deep neural network | personalized medicine | high-dimensional data | Neural networks | Analysis | Information management | Learning | Deep learning | Data analysis | Computer simulation | Encyclopedias | Machine learning | Index Medicus
Journal Article
Journal Article
Neural Processing Letters, ISSN 1370-4621, 8/2019, Volume 50, Issue 1, pp. 43 - 56
Journal Article
2017 20th International Conference of Computer and Information Technology (ICCIT), 12/2017, Volume 2018-, pp. 1 - 5
This paper represents the optical character recognition for Bangla handwritten characters using the popular classifier SVM and Bootstrap Aggregating technique.... 
Support vector machines | Image segmentation | Handwriting recognition | Segmentation | Bangla Optical Character Recognition | Feature extraction | SVM | Character recognition | Optical character recognition software | Information technology | Bootstrap Aggregating | Feature Extraction
Conference Proceeding
Applied Soft Computing, ISSN 1568-4946, 12/2016, Volume 49, pp. 861 - 867
The purpose of this study is to find the determinants of the profits for the Development and Investment Banks (IaDB) in Turkey. In Turkish Banking System, the... 
Ensemble machine learning | Development and investment banks | Reduced error pruning tree | Decision stump | Random tree | Bagging (bootstrap aggregating) | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | PERFORMANCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION | Bank management | Development banks | Investment banks
Journal Article
HEALTHINF 2017 - 10th International Conference on Health Informatics, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017, 2017, Volume 5, pp. 178 - 187
Conference Proceeding
2019, ISBN 9783038972228
Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial... 
hydrological risk analysis | modeling | water level | Poyang Lake basin | trend | composite multiscale sample entropy | flood frequency analysis | canopy flow | precipitation | water resources | complex systems | frequency analysis | optimization | combined forecast | neural network forecast | entropy spectral analysis time series analysis | environmental engineering | hydrometric network | sea surface temperature | kernel density estimation | robustness | turbulent flow | entropy production | connection entropy | flux concentration relation | turbulence | tropical rainfall | generalized gamma (GG) distribution | multi-events | El Niño | joint entropy | entropy weighting method | Anhui Province | changing environment | complexity | multiplicative cascades | Tsallis entropy | Hexi corridor | coherent structures | water resources vulnerability | uncertainty | variability | flow entropy | Hei River basin | fuzzy analytic hierarchy process | substitute | crop yield | conditional entropy production | entropy | flow duration curve | mean annual runoff | temperature | hydrometeorological extremes | resilience | Loess Plateau | information entropy | scaling | water distribution networks | cross entropy | randomness | forewarning model | entropy applications | quaternary catchment | spatio-temporal variability | probability distribution function | ant colony fuzzy clustering | radar | continuous probability distribution functions | Shannon entropy | informational entropy | information | confidence intervals | marginal entropy | rainfall forecast | entropy of information | streamflow | power laws | bootstrap aggregating | maximum entropy-copula method | spatial and dynamics characteristic | projection pursuit | set pair analysis | entropy theory | water resource carrying capacity | entropy parameter | precipitation frequency analysis | principle of maximum entropy | information theory | stochastic processes | network design | complement | cross elasticity | climacogram | methods of moments | hydrology | bagging | principle of maximum entropy (POME) | rainfall network | entropy ensemble filter | ensemble model simulation criterion | Lagrangian function | Beta-Lognormal model | cross-entropy minimization | ANN | configurational entropy | variation of information | statistical scaling | EEF method | water monitoring | maximum likelihood estimation | GB2 distribution | NDVI | four-parameter exponential gamma distribution | hydraulics | spatial optimization | Kolmogorov complexity | bootstrap neural networks | mutual information | accelerating genetic algorithm | groundwater depth | rainfall | tropical Pacific | water engineering | monthly streamflow forecasting | ENSO | nonlinear relation | Bayesian technique | non-point source pollution | Burg entropy | data-scarce | scaling laws | soil water content | arid region | land suitability evaluation | information transfer
eBook
E-Jurnal Matematika, 08/2016, Volume 5, Issue 3, pp. 103 - 110
This research was conducted to determine the variables that significantly influence nutritional status of children based on indicators that defined as height... 
bagging | Bootstrap Aggregating | Ordinal Logistic Regression
Journal Article
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 12/2016, Volume 45, Issue 23, pp. 6803 - 6815
Traditional credit risk assessment models do not consider the time factor; they only think of whether a customer will default, but not the when to default. The... 
Short-term default | 90B50 | Decision tree | Bootstrap aggregating | 62F40 | Credit risk assessment models | SURVIVAL | BANKRUPTCY | STATISTICS & PROBABILITY | BORROWERS DEFAULT | PREDICTION | Credit risk | Decision trees | Risk management | Credit management | Banking industry | Loans | Risk assessment | Regression | Hazards | Mathematical models | Statistical methods | Logistics
Journal Article
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