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regression

Papers

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Showing 1051–1100 of 9424 papers

TitleStatusHype
Applying Regression Conformal Prediction with Nearest Neighbors to time series data—0
Applying Bayesian Ridge Regression AI Modeling in Virus Severity Prediction—0
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins—0
Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks—0
A Framework of Learning Through Empirical Gain Maximization—0
Applications of Machine Learning in Fintech Credit Card Fraud Detection—0
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers—0
Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification—0
Application of Random Forest and Support Vector Machine for Investigation of Pressure Filtration Performance, a Zinc Plant Filter Cake Modeling—0
Activation Functions for Generalized Learning Vector Quantization - A Performance Comparison—0
Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering—0
Backward Compatibility During Data Updates by Weight Interpolation—0
A Framework for On-line Learning of Underwater Vehicles Dynamic Models—0
Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock—0
A framework for learned sparse sketches—0
Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data—0
Application of Deep Learning for Factor Timing in Asset Management—0
Robust approximate linear regression without correspondence—0
Application of computer simulation results and machine learning in analysis of microwave radiothermometry data—0
Application of Common Spatial Patterns in Gravitational Waves Detection—0
Application of a nonlinear operator to identify an unknown parameter for a scalar regression equation with disturbance in the measurement channel—0
Appearance-Invariant 6-DoF Visual Localization using Generative Adversarial Networks—0
A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS)—0
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP—0
Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression—0
A Powerful Subvector Anderson Rubin Test in Linear Instrumental Variables Regression with Conditional Heteroskedasticity—0
A framework for benchmarking uncertainty in deep regression—0
A Polynomial-time Form of Robust Regression—0
Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning—0
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified—0
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression—0
A Follow-the-Leader Strategy using Hierarchical Deep Neural Networks with Grouped Convolutions—0
A Flexible Rolling Regression Framework for Time-Varying SIRD models: Application to COVID-19—0
A perturbed utility route choice model—0
Accelerating evolutionary exploration through language model-based transfer learning—0
A Work Zone Simulation Model for Travel Time Prediction in a Connected Vehicle Environment—0
A penalized two-pass regression to predict stock returns with time-varying risk premia—0
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression—0
A Flexible Framework for Hypothesis Testing in High-dimensions—0
A path in regression Random Forest looking for spatial dependence: a taxonomy and a systematic review—0
Action Classification with Locality-constrained Linear Coding—0
A Weighted Prognostic Covariate Adjustment Method for Efficient and Powerful Treatment Effect Inferences in Randomized Controlled Trials—0
A parsimonious, computationally efficient machine learning method for spatial regression—0
A parametric algorithm is optimal for non-parametric regression of smooth functions—0
A First Step Towards Distribution Invariant Regression Metrics—0
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions—0
A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and Beyond—0
A Waste Copper Granules Rating System Based on Machine Vision—0
A working likelihood approach to support vector regression with a data-driven insensitivity parameter—0
An update on statistical boosting in biomedicine—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