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regression

Papers

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Showing 5051–5100 of 9424 papers

TitleStatusHype
Towards a mathematical framework to inform Neural Network modelling via Polynomial RegressionCode0
Linear Matrix Inequality Approaches to Koopman Operator Approximation—0
Extremal learning: extremizing the output of a neural network in regression problemsCode0
Continuous Monitoring of Blood Pressure with Evidential Regression—0
Online nonparametric regression with Sobolev kernels—0
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes—0
Exact Optimization of Conformal Predictors via Incremental and Decremental LearningCode0
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression—0
The Great Equalizer: Medicare and the Geography of Consumer Financial Strain—0
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence—0
Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement—0
Predicting student performance using data from an auto-grading system—0
Meta-learning with negative learning rates—0
RoutingGAN: Routing Age Progression and Regression with Disentangled Learning—0
Fast rates in structured prediction—0
A first-stage representation for instrumental variables quantile regression—0
A probabilistic Taylor expansion with Gaussian processes—0
Meta ordinal weighting net for improving lung nodule classification—0
Synthetic Dataset Generation of Driver TelematicsCode0
Probabilistic RF-Assisted Camera Wake-Up through Self-Supervised Gaussian Process Regression—0
Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models—0
Statistical Inference after Kernel Ridge Regression Imputation under item nonresponse—0
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models—0
Copula-based conformal prediction for Multi-Target Regression—0
Exploiting the Hidden Tasks of GANs: Making Implicit Subproblems Explicit—0
Faster Kernel Interpolation for Gaussian Processes—0
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss—0
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning—0
Fundamental limits and algorithms for sparse linear regression with sublinear sparsity—0
Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach—0
Complementary Composite Minimization, Small Gradients in General Norms, and Applications—0
Dense Semantic Forecasting in Video by Joint Regression of Features and Feature Motion—0
Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem—0
Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration—0
Monitoring and Forecasting COVID-19: Statistical Heuristic Regression, Susceptible-Infected-Removed model and, Spatial Stochastics—0
Sample path generation of the stochastic volatility CGMY process and its application to path-dependent option pricing—0
Adaptive Scheduling for Machine Learning Tasks over Networks—0
Consistent specification testing under spatial dependence—0
Vertical federated learning based on DFP and BFGS—0
Next-best-view Regression using a 3D Convolutional Neural NetworkCode0
Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein MetricCode0
Linear Regression with Distributed Learning: A Generalization Error Perspective—0
Prediction of Chronic Kidney Disease - A Machine Learning Perspective—0
Robust W-GAN-Based Estimation Under Wasserstein Contamination—0
Focal and Efficient IOU Loss for Accurate Bounding Box RegressionCode0
Autocart -- spatially-aware regression trees for ecological and spatial modeling—0
SEMULATOR: Emulating the Dynamics of Crossbar Array-based Analog Neural System with Regression Neural Networks—0
Transferring model structure in Bayesian transfer learning for Gaussian process regression—0
Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRICode0
Causal Gradient Boosting: Boosted Instrumental Variable Regression—0
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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