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regression

Papers

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Showing 2401–2425 of 9424 papers

TitleStatusHype
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension—0
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression—0
Automatic microscopic cell counting by use of deeply-supervised density regression model—0
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models—0
Delving Deeper into MOOC Student Dropout Prediction—0
Delving Deep into Pixel Alignment Feature for Accurate Multi-view Human Mesh Recovery—0
Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression—0
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models—0
Demographic parity in regression and classification within the unawareness framework—0
Automatic Response Category Combination in Multinomial Logistic Regression—0
Demystifying Deep Learning: A Geometric Approach to Iterative Projections—0
Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation—0
Denoising Linear Models with Permuted Data—0
A Model of Double Descent for High-dimensional Binary Linear Classification—0
Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers—0
A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization—0
Dense Contrastive Visual-Linguistic Pretraining—0
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes—0
A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations—0
Morphological Network: How Far Can We Go with Morphological Neurons?—0
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild—0
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—0
Differentially private sliced inverse regression in the federated paradigm—0
Convolutional Ordinal Regression Forest for Image Ordinal Estimation—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