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regression

Papers

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Showing 5451–5500 of 9424 papers

TitleStatusHype
Removing the Bias of Integral Pose Regression—0
Rényi Differential Privacy Mechanisms for Posterior Sampling—0
Renyi Differential Privacy Mechanisms for Posterior Sampling—0
Rényi Neural Processes—0
REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation—0
Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics—0
Representation of preferences for multiple criteria decision aiding in a new seven-valued logic—0
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression—0
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression—0
Re-scale boosting for regression and classification—0
Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training—0
Research on road object detection algorithm based on improved YOLOX—0
Research on Trends in Illegal Wildlife Trade based on Comprehensive Growth Dynamic Model—0
Reservoir Based Edge Training on RF Data To Deliver Intelligent and Efficient IoT Spectrum Sensors—0
Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices—0
Reservoir memory machines—0
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction—0
Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling—0
Residue-based Label Protection Mechanisms in Vertical Logistic Regression—0
Resolution and accuracy of non-linear regression of PSF with artificial neural networks—0
Resolving Lexical Ambiguity in Tensor Regression Models of Meaning—0
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression—0
Lightweight Distributed Gaussian Process Regression for Online Machine Learning—0
Restoring STM images via Sparse Coding: noise and artifact removal—0
Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression—0
Results Merging in the Patent Domain—0
RETAIN: Interactive Tool for Regression Testing Guided LLM Migration—0
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift—0
Rethinking Image Cropping: Exploring Diverse Compositions From Global Views—0
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression under Indirect Supervision—0
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss—0
Retire: Robust Expectile Regression in High Dimensions—0
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method—0
Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods—0
Retrieving and Ranking Similar Questions from Question-Answer Archives Using Topic Modelling and Topic Distribution Regression—0
Retrospective Causal Inference with Machine Learning Ensembles: An Application to Anti-Recidivism Policies in Colombia—0
Revealing Cluster Structures Based on Mixed Sampling Frequencies—0
Revenue-based Attribution Modeling for Online Advertising—0
Reverse iterative volume sampling for linear regression—0
Review of Applications of Generalized Regression Neural Networks in Identification and Control of Dynamic Systems—0
Review of Mathematical frameworks for Fairness in Machine Learning—0
Review of Probability Distributions for Modeling Count Data—0
Review of Recent Advances in Gaussian Process Regression Methods—0
Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences—0
Revisiting mass-radius relationships for exoplanet populations: a machine learning insight—0
Revisiting Perspective Information for Efficient Crowd Counting—0
Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters—0
Revisiting Random Forests in a Comparative Evaluation of Graph Convolutional Neural Network Variants for Traffic Prediction—0
Revisiting the empirical fundamental relationship of traffic flow for highways using a causal econometric approach—0
Revisiting the Many Instruments Problem using Random Matrix Theory—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