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Showing 9051–9100 of 9424 papers

TitleStatusHype
Exact Post Model Selection Inference for Marginal Screening—0
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression—0
Important Molecular Descriptors Selection Using Self Tuned Reweighted Sampling Method for Prediction of Antituberculosis Activity—0
Group-sparse Matrix Recovery—0
Sparse Quantile Huber Regression for Efficient and Robust Estimation—0
Automatic Construction and Natural-Language Description of Nonparametric Regression ModelsCode0
The Algebraic Approach to Phase Retrieval and Explicit Inversion at the Identifiability Threshold—0
Online Nonparametric Regression—0
Equivalence of Kernel Machine Regression and Kernel Distance Covariance for Multidimensional Trait Association Studies—0
Two-stage Sampled Learning Theory on Distributions—0
On the Prediction Performance of the Lasso—0
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable ModelsCode0
Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models - a Gentle Tutorial—0
Local Gaussian Regression—0
Predicting Nearly As Well As the Optimal Twice Differentiable Regressor—0
Collaborative Regression—0
Hilbert Space Methods for Reduced-Rank Gaussian Process RegressionCode0
Monte Carlo Simulation for Lasso-Type Problems by Estimator Augmentation—0
Distortion-driven Turbulence Effect Removal using Variational Model—0
Regression Conformal Prediction with Nearest Neighbours—0
Coordinate Descent with Online Adaptation of Coordinate Frequencies—0
Use Case Point Approach Based Software Effort Estimation using Various Support Vector Regression Kernel Methods—0
Inference in High Dimensions with the Penalized Score Test—0
Multi-Step-Ahead Time Series Prediction using Multiple-Output Support Vector Regression—0
Lasso and equivalent quadratic penalized models—0
Learning optimization models in the presence of unknown relations—0
A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification—0
Generalized Ambiguity Decomposition for Understanding Ensemble Diversity—0
Mixture model-based functional discriminant analysis for curve classification—0
Joint segmentation of multivariate time series with hidden process regression for human activity recognition—0
Time series modeling by a regression approach based on a latent process—0
A regression model with a hidden logistic process for feature extraction from time series—0
Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time—0
A regression model with a hidden logistic process for signal parametrization—0
A hidden process regression model for functional data description. Application to curve discrimination—0
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates—0
Modèle à processus latent et algorithme EM pour la régression non linéaire—0
Model-based functional mixture discriminant analysis with hidden process regression for curve classification—0
Model-based clustering with Hidden Markov Model regression for time series with regime changes—0
Functional Mixture Discriminant Analysis with hidden process regression for curve classification—0
Robust EM algorithm for model-based curve clustering—0
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression—0
Piecewise regression mixture for simultaneous functional data clustering and optimal segmentation—0
Nonparametric Weight Initialization of Neural Networks via Integral Representation—0
Growing Regression Forests by Classification: Applications to Object Pose Estimation—0
Manifold regularized kernel logistic regression for web image annotation—0
Perturbed Gibbs Samplers for Synthetic Data Release—0
DeepPose: Human Pose Estimation via Deep Neural NetworksCode0
The Bernstein Function: A Unifying Framework of Nonconvex Penalization in Sparse Estimation—0
Face alignment by explicit shape regression—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