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regression

Papers

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Showing 2551–2600 of 9424 papers

TitleStatusHype
Active Online Domain Adaptation—0
Contrasting Deep Learning Models for Direct Respiratory Insufficiency Detection Versus Blood Oxygen Saturation Estimation—0
ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic Inversion—0
Artificial Lateral Line Based Relative State Estimation for Two Adjacent Robotic Fish—0
Contouring by Unit Vector Field Regression—0
Artificial Intelligence-Assisted Optimization and Multiphase Analysis of Polygon PEM Fuel Cells—0
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms—0
Continuous-Time Regression Models for Longitudinal Networks—0
ARST: Auto-Regressive Surgical Transformer for Phase Recognition from Laparoscopic Videos—0
Continuous Semi-Supervised Nonnegative Matrix Factorization—0
Agnostic Learnability of Halfspaces via Logistic Loss—0
Active Online Learning with Hidden Shifting Domains—0
Continuous Pose Estimation With a Spatial Ensemble of Fisher Regressors—0
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation—0
A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer's Disease—0
Continuous Monitoring of Blood Pressure with Evidential Regression—0
Continuously Generalized Ordinal Regression for Linear and Deep Models—0
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds—0
A Globally Convergent Estimator of the Parameters of the Classical Model of a Continuous Stirred Tank Reactor—0
Continuation of Nesterov's Smoothing for Regression with Structured Sparsity in High-Dimensional Neuroimaging—0
Continual Learning in Linear Classification on Separable Data—0
A Robust Statistical Analysis of the Role of Hydropower on the System Electricity Price and Price Volatility—0
Contextual Online Decision Making with Infinite-Dimensional Functional Regression—0
A Robust Regression Approach for Robot Model Learning—0
A global approach for learning sparse Ising models—0
Active Nearest Neighbor Regression Through Delaunay Refinement—0
Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach—0
4-D Epanechnikov Mixture Regression in Light Field Image Compression—0
Contextual bandits with surrogate losses: Margin bounds and efficient algorithms—0
Contextual Bandits with Online Neural Regression—0
A Robust Regression Approach for Background/Foreground Segmentation—0
Contextual Bandits in Payment Processing: Non-uniform Exploration and Supervised Learning at Adyen—0
Context-Sensitive Decision Forests for Object Detection—0
A Robust Machine Learning Approach for Path Loss Prediction in 5G Networks with Nested Cross Validation—0
Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point—0
A robust low data solution: dimension prediction of semiconductor nanorods—0
A Robust Learning Algorithm for Regression Models Using Distributionally Robust Optimization under the Wasserstein Metric—0
Aggregation as Unsupervised Learning and its Evaluation—0
Constructing Gaussian Processes via Samplets—0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
On the potential of sequential and non-sequential regression models for Sentinel-1-based biomass prediction in Tanzanian miombo forests—0
Constructing Effective Machine Learning Models for the Sciences: A Multidisciplinary Perspective—0
A Tutorial on Asymptotic Properties for Biostatisticians with Applications to COVID-19 Data—0
Aggregating Data for Optimal and Private Learning—0
Constrained Structured Regression with Convolutional Neural Networks—0
Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding—0
A Risk Minimization Principle for a Class of Parzen Estimators—0
Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection—0
A risk measurement approach from risk-averse stochastic optimization of score functions—0
Online A-Optimal Design and Active Linear 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