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regression

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Showing 5051–5100 of 9424 papers

TitleStatusHype
Task-Agnostic Amortized Inference of Gaussian Process HyperparametersCode1
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model—0
Randomized tests for high-dimensional regression: A more efficient and powerful solution—0
Neuronal Gaussian Process RegressionCode0
Generalised Bayesian Filtering via Sequential Monte Carlo—0
On ranking via sorting by estimated expected utility—0
Myersonian Regression—0
Smooth And Consistent Probabilistic Regression Trees—0
Detection as Regression: Certified Object Detection with Median Smoothing—0
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBeliefCode0
RegFlow: Probabilistic Flow-based Regression for Future Prediction—0
A Hypergradient Approach to Robust Regression without Correspondence—0
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts—0
Unsupervised Path Regression Networks—0
Active Output Selection Strategies for Multiple Learning Regression Models—0
Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression ModelsCode0
A Boundary Regression Model for Nested Named Entity RecognitionCode0
RGBD-Net: Predicting color and depth images for novel views synthesis—0
A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer's Disease—0
Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning—0
On Generalization of Adaptive Methods for Over-parameterized Linear Regression—0
Machine Intelligent Techniques for Ramp Event Prediction in Offshore and Onshore Wind Farms—0
Arbitrary-Oriented Object Detection in Remote Sensing Images Based on Polar Coordinates—0
Toe-Heal-Air-Injection Thermal Recovery Production Prediction and Modelling Using Quadratic Poisson Polynomial Regression—0
Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials—0
Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals—0
A Comparison of Statistical and Machine Learning Algorithms for Predicting Rents in the San Francisco Bay Area—0
Modelling brain lesion volume in patches with CNN-based Poisson Regression—0
CYPUR-NN: Crop Yield Prediction Using Regression and Neural Networks—0
Bayesian Graph Neural Networks for Molecular Property PredictionCode1
Feature space approximation for kernel-based supervised learningCode0
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking—0
Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general methodCode0
A Non-linear Function-on-Function Model for Regression with Time Series Data—0
Hyper-parameter estimation method with particle swarm optimization—0
Reinforced optimal control—0
Marginalised Spectral Mixture Kernels with Nested Sampling—0
Decoupled Sparse Gaussian Processes Components]Decoupled Sparse Gaussian Processes Components : Separating Decision Making from Data Manifold Fitting—0
On the Inconsistency of Bayesian Inference for Misspecified Neural Networks—0
Neural Linear Models with Functional Gaussian Process Priors—0
Neural Networks as Inter-Domain Inducing Points—0
Data-aided Sensing for Gaussian Process Regression in IoT Systems—0
Conjecturing-Based Discovery of Patterns in DataCode1
Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification—0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos—0
Robust Gaussian Process Regression Based on Iterative TrimmingCode1
Online Orthogonal Matching Pursuit—0
Supervised deep learning prediction of the formation enthalpy of the full set of configurations in complex phases: the σ-phase as an exampleCode1
Flight Sensor Data and Beamforming based Integrated UAV Tracking with Channel Estimation using Gaussian Process 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