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regression

Papers

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Showing 3276–3300 of 9424 papers

TitleStatusHype
Extractive Multi-Document Summarization with Integer Linear Programming and Support Vector Regression—0
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty—0
Extrapolating Away from the Cutoff in Regression Discontinuity Designs—0
Deep Learning-based Finite Element Analysis (FEA) surrogate for sub-sea pressure vessel—0
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC—0
Extreme AutoML: Analysis of Classification, Regression, and NLP Performance—0
Consistency of Extreme Learning Machines and Regression under Non-Stationarity and Dependence for ML-Enhanced Moving Objects—0
Extreme Learning Machine for Graph Signal Processing—0
Extreme Regression for Dynamic Search Advertising—0
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification—0
A Novel Clustering-Based Algorithm for Continuous and Non-invasive Cuff-Less Blood Pressure Estimation—0
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction—0
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization—0
Face Alignment at 3000 FPS via Regressing Local Binary Features—0
Characterizing Implicit Bias in Terms of Optimization Geometry—0
A Characterization of Multioutput Learnability—0
Face Alignment by Local Deep Descriptor Regression—0
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum—0
Face Alignment Using Cascade Gaussian Process Regression Trees—0
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids—0
Face Detection with a 3D Model—0
Facial age estimation using BSIF and LBP—0
Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression—0
Facial Feature Point Detection: A Comprehensive Survey—0
Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass—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