SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4801–4850 of 9424 papers

TitleStatusHype
Fixed-k Tail Regression: New Evidence on Tax and Wealth Inequality from Forbes 400—0
L1 Regression with Lewis Weights Subsampling—0
Aleatoric uncertainty for Errors-in-Variables models in deep regression—0
Physical Constraint Embedded Neural Networks for inference and noise regulation—0
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction—0
Univariate Long-Term Municipal Water Demand Forecasting—0
Achieving Fairness with a Simple Ridge Penalty—0
Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI—0
Modeling the EdNet Dataset with Logistic Regression—0
Studying the association of online brand importance with museum visitors: An application of the semantic brand score—0
Classifying variety of customer's online engagement for churn prediction with mixed-penalty logistic regression—0
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence MicroscopyCode0
Identifying Wisdom (of the Crowd): A Regression Approach—0
Efficient Least Squares Monte-Carlo Technique for PFE/EE Calculations—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
Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networks—0
Privacy-preserving Logistic Regression with Secret SharingCode0
Acquisitive Crimes, Time of Day, and Multiunit Housing in the City of Milwaukee—0
An efficient projection neural network for _1-regularized logistic regressionCode0
Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models—0
Lightweight Distributed Gaussian Process Regression for Online Machine Learning—0
Performance Comparison of Different Machine Learning Algorithms on the Prediction of Wind Turbine Power Generation—0
A rigorous introduction to linear models—0
Deep Neural Networks as Point Estimates for Deep Gaussian Processes—0
A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image CaptioningCode0
Improving Robustness for Pose Estimation via Stable Heatmap Regression—0
A Symbolic Regression Method for Dynamic Modeling and Control of Quadrotor UAVs—0
Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks—0
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates—0
Pairwise Fairness for Ordinal RegressionCode0
Membership Inference Attacks on Deep Regression Models for Neuroimaging—0
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery—0
Practical and Rigorous Uncertainty Bounds for Gaussian Process RegressionCode0
A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity—0
Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth—0
Nonparametric Trace Regression in High Dimensions via Sign Series Representation—0
On the Sample Complexity of Rank Regression from Pairwise Comparisons—0
Prediction of clinical tremor severity using Rank Consistent Ordinal Regression—0
Comprehensive Review On Twin Support Vector Machines—0
Generalized Linear Models with Structured Sparsity Estimators—0
A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial RegressionCode0
VIRDOCD: a VIRtual DOCtor to Predict Dengue Fatality—0
Light Gradient Boosting Machine as a Regression Method for Quantitative Structure-Activity Relationships—0
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures—0
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays—0
Defined the predictors of the lightning over India by using artificial neural network—0
Large Scale Prediction with Decision Trees—0
Learning Markov models of fading channels in wireless control networks: a regression trees based approach—0
The Hessian Screening RuleCode0
Phenotyping OSA: a time series analysis using fuzzy clustering and persistent homology—0
Show:102550
← PrevPage 97 of 189Next →
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