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regression

Papers

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Showing 3251–3300 of 9424 papers

TitleStatusHype
P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar—0
Can machine learning algorithms perform better than multiple linear regression in predicting nitrogen excretion from lactating dairy cows—0
Pathwise CVA Regressions With Oversimulated DefaultsCode0
Macro carbon price prediction with support vector regression and Paris accord targets—0
Frequency Domain Gaussian Process Models for H^ Uncertainties—0
Estimating the minimizer and the minimum value of a regression function under passive design—0
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal ForecastingCode0
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations—0
Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications—0
Novelty Detection for Election Fraud: A Case Study with Agent-Based Simulation Data—0
SparsePose: Sparse-View Camera Pose Regression and Refinement—0
Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target—0
Optimal Sparse Regression TreesCode0
What learning algorithm is in-context learning? Investigations with linear modelsCode0
Discretized Linear Regression and Multiclass Support Vector Based Air Pollution Forecasting Technique—0
An adaptive shortest-solution guided decimation approach to sparse high-dimensional linear regressionCode0
Defending Adversarial Attacks on Deep Learning Based Power Allocation in Massive MIMO Using Denoising AutoencodersCode0
Leveraging Image Matching Toward End-to-End Relative Camera Pose Regression—0
Eluder-based Regret for Stochastic Contextual MDPs—0
Condensed Gradient BoostingCode0
Machine Learning Algorithms for Predicting in-Hospital Mortality in Patients with ST-Segment Elevation Myocardial Infar—0
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationCode0
Estimation and inference for transfer learning with high-dimensional quantile regression—0
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking—0
Non-invasive Liver Fibrosis Screening on CT Images using Radiomics—0
The GA-cal software for the automatic calibration of soil constitutive laws: a tutorial and a user manualCode0
Estimating Regression Predictive Distributions with Sample Networks—0
Differentially Private Image Classification from FeaturesCode0
Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression—0
Efficient List-Decodable Regression using Batches—0
An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022—0
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems—0
RegTraffic: A Regression Based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization—0
Accuracy Prediction for NAS Acceleration using Feature Selection and ExtrapolationCode0
Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease PredictionCode0
Constructing Effective Machine Learning Models for the Sciences: A Multidisciplinary Perspective—0
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance—0
The loss of the property of locality of the kernel in high-dimensional Gaussian process regression on the example of the fitting of molecular potential energy surfaces—0
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods—0
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression—0
Interpretable Scientific Discovery with Symbolic Regression: A ReviewCode0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective—0
On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation—0
Confounder Balancing for Instrumental Variable Regression with Latent Variable—0
Global quantitative robustness of regression feed-forward neural networks—0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE—0
On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models—0
Variable selection for nonlinear Cox regression model via deep learning—0
Inadmissibility of the corrected Akaike information criterion—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