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regression

Papers

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Showing 4101–4150 of 9424 papers

TitleStatusHype
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System—0
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models—0
BOTDA Fiber Sensor System Based on FPGA Accelerated Support Vector Regression—0
Emotion Recognition Using Convolutional Neural Networks—0
Bosonic Random Walk Networks for Graph Learning—0
Emotionally-Informed Models for Detecting Moments of Change and Suicide Risk Levels in Longitudinal Social Media Data—0
Bootstrapping OTS-Funcimg Pre-training Model (Botfip) -- A Comprehensive Symbolic Regression Framework—0
EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTM—0
EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets—0
Bootstrapping Nonstationary Autoregressive Processes with Predictive Regression Models—0
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms—0
Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation—0
EMLight: Lighting Estimation via Spherical Distribution Approximation—0
EM for Mixture of Linear Regression with Clustered Data—0
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression—0
A New Test for Market Efficiency and Uncovered Interest Parity—0
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems—0
EM Converges for a Mixture of Many Linear Regressions—0
Bootstrap inference for panel data quantile regression—0
Embryonic Elongation controlled by Graded Cell Fate: A Molecular Dynamics Approach—0
Embeddings for Tabular Data: A Survey—0
Bootstrap Bias Corrections for Ensemble Methods—0
A new similarity measure for covariate shift with applications to nonparametric regression—0
Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators—0
Embedded Multi-label Feature Selection via Orthogonal Regression—0
ELM Ridge Regression Boosting—0
Boost-R: Gradient Boosted Trees for Recurrence Data—0
A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study—0
_p-Regression in the Arbitrary Partition Model of Communication—0
Ellipse Regression with Predicted Uncertainties for Accurate Multi-View 3D Object Estimation—0
Boosting SISSO Performance on Small Sample Datasets by Using Random Forests Prescreening for Complex Feature Selection—0
Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion—0
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering—0
Boosting Ridge Regression for High Dimensional Data Classification—0
A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives—0
Advancing Counterfactual Inference through Nonlinear Quantile Regression—0
A Compromise Principle in Deep Monocular Depth Estimation—0
Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data—0
Deep Fréchet Regression—0
_1-regression with Heavy-tailed Distributions—0
_1-regression with Heavy-tailed Distributions—0
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision—0
Elite Bases Regression: A Real-time Algorithm for Symbolic Regression—0
Electrophysiological indicators of gesture perception—0
A New Monte Carlo Based Algorithm for the Gaussian Process Classification Problem—0
Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis—0
Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression—0
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression—0
A New Look to Three-Factor Fama-French Regression Model using Sample Innovations—0
Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory—0
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified