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regression

Papers

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Showing 7351–7400 of 9424 papers

TitleStatusHype
p-Markov Gaussian Processes for Scalable and Expressive Online Bayesian Nonparametric Time Series Forecasting—0
Tolerating Annotation Displacement in Dense Object Counting via Point Annotation Probability Map—0
Point Cloud Objective Quality: Benchmarking Features and Quality Evaluation—0
Point in, Box out: Beyond Counting Persons in Crowds—0
Point-to-Point Regression PointNet for 3D Hand Pose Estimation—0
Pointwise Tracking the Optimal Regression Function—0
Pointwise visual field estimation from optical coherence tomography in glaucoma: a structure-function analysis using deep learning—0
PoI: Pixel of Interest for Novel View Synthesis Assisted Scene Coordinate Regression—0
Poisson Subsampling Algorithms for Large Sample Linear Regression in Massive Data—0
Polar Prototype Networks—0
Political Openness and Armed Conflict: Evidence from Local Councils in Colombia—0
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation—0
Polynomial Bounds for Learning Noisy Optical Physical Unclonable Functions and Connections to Learning With Errors—0
Polynomial convergence of iterations of certain random operators in Hilbert space—0
Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding—0
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms—0
Polynomial Regression Network for Variable-Number Lane Detection—0
Polynomial-Spline Neural Networks with Exact Integrals—0
Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM)—0
Portfolio optimization using local linear regression ensembles in RapidMiner—0
Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation—0
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks—0
Pose Guided Person Image Generation with Hidden p-Norm Regression—0
PoseINN: Realtime Visual-based Pose Regression and Localization with Invertible Neural Networks—0
PoseKernelLifter: Metric Lifting of 3D Human Pose using Sound—0
Pose-Sensitive Embedding by Nonlinear NCA Regression—0
Position-aware Location Regression Network for Temporal Video Grounding—0
Positive-Congruent Training: Towards Regression-Free Model Updates—0
Positive semidefinite support vector regression metric learning—0
POSSE: Patterns of Systems During Software Encryption—0
Likelihood Annealing: Fast Calibrated Uncertainty for Regression—0
Posterior concentration and fast convergence rates for generalized Bayesian learning—0
Posterior Consistency for Bayesian Relevance Vector Machines—0
Posterior Consistency of Semi-Supervised Regression on Graphs—0
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective—0
Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networks—0
Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression—0
Post-Transfer Learning Statistical Inference in High-Dimensional Regression—0
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition—0
Potential and limitations of random Fourier features for dequantizing quantum machine learning—0
Potential weights and implicit causal designs in linear regression—0
Power Plant Performance Modeling with Concept Drift—0
Practical Bayesian optimization in the presence of outliers—0
Practical Contextual Bandits with Regression Oracles—0
Practical Perspectives on Quality Estimation for Machine Translation—0
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing—0
Precise Learning Curves and Higher-Order Scaling Limits for Dot Product Kernel Regression—0
Precise Model Benchmarking with Only a Few Observations—0
Precise Tradeoffs in Adversarial Training for Linear Regression—0
Predictability Analysis of Regression Problems via Conditional Entropy Estimations—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