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regression

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Showing 5301–5325 of 9424 papers

TitleStatusHype
Feature space approximation for kernel-based supervised learningCode0
Hyper-parameter estimation method with particle swarm optimization—0
Reinforced optimal control—0
A Non-linear Function-on-Function Model for Regression with Time Series Data—0
Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general methodCode0
Data-aided Sensing for Gaussian Process Regression in IoT Systems—0
Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos—0
Neural Networks as Inter-Domain Inducing Points—0
On the Inconsistency of Bayesian Inference for Misspecified Neural Networks—0
Neural Linear Models with Functional Gaussian Process Priors—0
Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification—0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Decoupled Sparse Gaussian Processes Components]Decoupled Sparse Gaussian Processes Components : Separating Decision Making from Data Manifold Fitting—0
Marginalised Spectral Mixture Kernels with Nested Sampling—0
Online Orthogonal Matching Pursuit—0
On the coercivity condition in the learning of interacting particle systems—0
Flight Sensor Data and Beamforming based Integrated UAV Tracking with Channel Estimation using Gaussian Process Regression—0
Model-based Reinforcement Learning for Continuous Control with Posterior SamplingCode0
ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view ClusteringCode0
Anderson acceleration of coordinate descent—0
Learning to Predict the 3D Layout of a Scene—0
Positive-Congruent Training: Towards Regression-Free Model Updates—0
A Risk Based approach for the Solvency Capital requirement for Health Plans—0
A Discussion on Practical Considerations with Sparse Regression Methodologies—0
SoftSeg: Advantages of soft versus binary training for image segmentation—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