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regression

Papers

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Showing 4101–4125 of 9424 papers

TitleStatusHype
A Generalized Weighted Optimization Method for Computational Learning and Inversion—0
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics—0
Long-term Data Sharing under Exclusivity AttacksCode0
Tuned Regularized Estimators for Linear Regression via Covariance Fitting—0
Machine Learning Algorithms for Prediction of Penetration Depth and Geometrical Analysis of Weld in Friction Stir Spot Welding Process—0
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning—0
Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization—0
Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project—0
Statistical Learning for Individualized Asset Allocation—0
A Visual Analytics Approach to Building Logistic Regression Models and its Application to Health RecordsCode0
Sandbox Sample Classification Using Behavioral Indicators of Compromise—0
Asymptotic properties of Bayesian inference in linear regression with a structural break—0
Generalization in Supervised Learning Through Riemannian Contraction—0
FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images—0
EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party—0
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting—0
PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my"—0
Why Does Surprisal From Smaller GPT-2 Models Provide Better Fit to Human Reading Times?—0
A Critical Analysis of Image-based Camera Pose Estimation Techniques—0
The Implicit Regularization of Momentum Gradient Descent with Early Stopping—0
Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?—0
Detecting Multiple Structural Breaks in Systems of Linear Regression Equations with Integrated and Stationary Regressors—0
Adaptive Transfer Learning for Plant Phenotyping—0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
Kernel methods for long term dose response curves—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