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regression

Papers

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Showing 4101–4150 of 9424 papers

TitleStatusHype
A Generalized Weighted Optimization Method for Computational Learning and Inversion—0
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics—0
Long-term Data Sharing under Exclusivity AttacksCode0
Tuned Regularized Estimators for Linear Regression via Covariance Fitting—0
Machine Learning Algorithms for Prediction of Penetration Depth and Geometrical Analysis of Weld in Friction Stir Spot Welding Process—0
Statistical Learning for Individualized Asset Allocation—0
Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization—0
Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project—0
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning—0
A Visual Analytics Approach to Building Logistic Regression Models and its Application to Health RecordsCode0
Sandbox Sample Classification Using Behavioral Indicators of Compromise—0
Asymptotic properties of Bayesian inference in linear regression with a structural break—0
Generalization in Supervised Learning Through Riemannian Contraction—0
FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images—0
EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party—0
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting—0
Why Does Surprisal From Smaller GPT-2 Models Provide Better Fit to Human Reading Times?—0
PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my"—0
A Critical Analysis of Image-based Camera Pose Estimation Techniques—0
The Implicit Regularization of Momentum Gradient Descent with Early Stopping—0
Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?—0
Detecting Multiple Structural Breaks in Systems of Linear Regression Equations with Integrated and Stationary Regressors—0
Adaptive Transfer Learning for Plant Phenotyping—0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression—0
Kernel methods for long term dose response curves—0
Deep Symbolic Regression for Recurrent Sequences—0
Application of Common Spatial Patterns in Gravitational Waves Detection—0
An Interval-Valued Time Series Forecasting Scheme With Probability Distribution Features for Electric Power Generation Prediction—0
DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift—0
Linearly-involved Moreau-Enhanced-over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression—0
Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models—0
Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport—0
Differentially Private _1-norm Linear Regression with Heavy-tailed Data—0
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption—0
Causal Discovery from Sparse Time-Series Data Using Echo State Network—0
Attention-based Random Forest and Contamination Model—0
Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment—0
A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and Beyond—0
Forming Predictive Features of Tweets for Decision-Making Support—0
Bitcoin Price Predictive Modeling Using Expert Correction—0
Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics—0
Learning Quality-aware Representation for Multi-person Pose Regression—0
Contrastive Regression for Domain Adaptation on Gaze Estimation—0
The Complexity of Dynamic Least-Squares RegressionCode0
Single-Stage Is Enough: Multi-Person Absolute 3D Pose Estimation—0
DESTR: Object Detection With Split Transformer—0
OSKDet: Orientation-Sensitive Keypoint Localization for Rotated Object Detection—0
Rethinking Image Cropping: Exploring Diverse Compositions From Global Views—0
Formal Verification of Unknown Dynamical Systems via Gaussian Process RegressionCode0
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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