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381
A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE)
Published 2020-04-01“…This study proposes a novel multiclass classification ensemble learning approach for predicting stock prices based on historical data using feature engineering. …”
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382
Thermodynamic Limit in High-Multiplicity Proton-Proton Collisions at s=7 TeV
Published 2019-01-01“…The thermal model is used to determine the chemical freeze-out temperature as well as the radius and strangeness suppression factor γs. Three different ensembles are used in the analysis: the grand canonical ensemble, the canonical ensemble with exact strangeness conservation, and the canonical ensemble with exact baryon number, strangeness, and electric charge conservation. …”
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383
Pourquoi les singes ont-ils les pieds plats ?
Published 2016-01-01“…Son tarse, ses métatarses et ses phalanges s’inscrivent sur une même ligne parallèle à ce dernier. Les charges de l’ensemble du corps se répartissent sur quatre membres. …”
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384
Extremal jumps of circuit complexity of unitary evolutions generated by random Hamiltonians
Published 2025-01-01“…Specifically, we focus on two ensembles of random generators — the so called Gaussian Unitary Ensemble (GUE) and the ensemble of diagonal Gaussian matrices conjugated by Haar random unitary transformations. …”
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385
Uncertainty Analysis of Multiple Hydrologic Models Using the Bayesian Model Averaging Method
Published 2013-01-01“…In the first BMA scheme, three models under the same Nash-Sutcliffe efficiency objective function are, respectively, calibrated, thus providing three-member predictions ensemble for the BMA combination. In the second BMA scheme, all three models are, respectively, calibrated under three different objective functions other than Nash-Sutcliffe efficiency to obtain nine-member predictions ensemble. …”
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386
The Development of a Hybrid EnKF-3DVAR Algorithm for Storm-Scale Data Assimilation
Published 2013-01-01“…A hybrid 3DVAR-EnKF data assimilation algorithm is developed based on 3DVAR and ensemble Kalman filter (EnKF) programs within the Advanced Regional Prediction System (ARPS). …”
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387
Comparing ALADIN-CZ and ALADIN-LAEF Precipitation Forecasts for Hydrological Modelling in the Czech Republic
Published 2018-01-01“…This study assesses the high-resolution deterministic model ALADIN-CZ (Aire Limitée, Adaptation Dynamique, Development International–Czech Republic) and the ensemble model ALADIN-LAEF (Limited Area Ensemble Forecasting). …”
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388
Assessment of bias correction methods for high resolution daily precipitation projections with CMIP6 models: A Canadian case study
Published 2025-04-01“…Bias corrected ensemble means demonstrate superior performance for the whole distribution including the high and low extremes. …”
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389
Critical Phenomena in Higher Curvature Charged AdS Black Holes
Published 2013-01-01“…The thermodynamics of the black hole have been studied which reveals the onset of a higher-order phase transition in the black hole in the canonical ensemble (fixed charge ensemble) framework. We have analytically derived the critical exponents associated with these thermodynamic quantities. …”
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390
An improved soft voting-based machine learning technique to detect breast cancer utilizing effective feature selection and SMOTE-ENN class balancing
Published 2025-01-01“…To show the efficiency of the proposed ensemble model, it is compared with its base classifiers using the Wisconsin Diagnosis Breast Cancer Dataset (WDBC). …”
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391
A Hybrid Approach Integrating Multiple ICEEMDANs, WOA, and RVFL Networks for Economic and Financial Time Series Forecasting
Published 2020-01-01“…In this study, a novel multidecomposition and self-optimizing hybrid approach integrating multiple improved complete ensemble empirical mode decompositions with adaptive noise (ICEEMDANs), whale optimization algorithm (WOA), and random vector functional link (RVFL) neural networks, namely, MICEEMDAN-WOA-RVFL, is developed to predict economic and financial time series. …”
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392
Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy
Published 2025-01-01“…Our CP prediction model utilizes an ensemble approach, so we evaluate the XAI metrics performances for both the overall ensemble and the individual models. …”
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393
The Mixed Phase of Charged AdS Black Holes
Published 2016-01-01“…The phase diagram of the mixed phase is demonstrated for both fixed potential and charge ensemble. In the dual gauge picture, they correspond to the mixed phase of quark-gluon plasma (QGP) and hadron gas in the fixed chemical potential and density ensemble, respectively. …”
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394
Hofmusici a lokajové. K postavení hudebníka na šlechtickém dvoře v Čechách první poloviny 18. století
Published 2012-04-01“…While the private band of Count Franz Anton Sporck was a typical servant ensemble, counts Wenzel Morzin and Franz Joseph Czernin employed professional musicians more extensively. …”
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395
Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD
Published 2016-01-01“…Finally, the signal is decomposed by ensemble empirical mode decomposition (EEMD) method. …”
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396
Synthesizing Local Capacities, Multi-Source Remote Sensing and Meta-Learning to Optimize Forest Carbon Assessment in Data-Poor Regions
Published 2025-01-01“…Notably, a stacking ensemble of support vector machines and random forest achieved the highest accuracy (R<sup>2</sup> = 0.84, RMSE = 1.36), followed by an ensemble of all base learners (R<sup>2</sup> = 0.83, RMSE = 1.39). …”
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397
Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction
Published 2020-01-01“…Furthermore, in this contribution, an ensemble method called Bagging (BEM) is used to improve the accuracy of the prediction model. …”
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398
IMBoost: A New Weighting Factor for Boosting to Improve the Classification Performance of Imbalanced Data
Published 2023-01-01“…Although AdaBoost is a popular ensemble method known for its good performance in addressing various problems, it fails when dealing with imbalanced data sets due to its bias towards the majority class samples. …”
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399
Proper Orthogonal Decomposition as Surrogate Model for Aerodynamic Optimization
Published 2016-01-01“…The proposed method is applied to subsonic turbulent flows and the proper orthogonal decomposition is based on an ensemble of high-fidelity computations. For the construction of the ensemble, fractional and full factorial planes together with central composite design-of-experiment strategies are applied. …”
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400
CFD Simulation of the Discharge Flow from Standard Rushton Impeller
Published 2014-01-01“…The obtained velocity profiles of the mean ensemble-averaged velocity and r.m.s. values of the fluctuating velocity were compared in several distances from the impeller blades. …”
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