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regression

Papers

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Showing 5551–5600 of 9424 papers

TitleStatusHype
A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification—0
Document Similarity from Vector Space Densities—0
Boosting House Price Predictions using Geo-Spatial Network EmbeddingCode0
Semi-Supervised Empirical Risk Minimization: Using unlabeled data to improve prediction—0
Random Forest (RF) Kernel for Regression, Classification and Survival—0
Online Spatiotemporal Action Detection and Prediction via Causal RepresentationsCode0
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms—0
Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression—0
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression—0
Introduction to logistic regression—0
Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data—0
Certainty Equivalent Perception-Based ControlCode0
Query Focused Multi-document Summarisation of Biomedical Texts: Macquarie Universiy and the Australian National University at BioASQ8bCode0
Query Focused Multi-document Summarisation of Biomedical TextsCode0
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and ClassificationCode0
Surrogate Model For Field Optimization Using Beta-VAE Based Regression—0
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective—0
Variable selection for Gaussian process regression through a sparse projection—0
Software Effort Estimation using parameter tuned Models—0
Think about boundary: Fusing multi-level boundary information for landmark heatmap regression—0
Temporal Action Localization with Variance-Aware Networks—0
Balanced Activation for Long-tailed Visual Recognition—0
syrapropa at SemEval-2020 Task 11: BERT-based Models Design For Propagandistic Technique and Span Detection—0
Bayesian Geodesic Regression on Riemannian Manifolds—0
Fast Approximate Multi-output Gaussian ProcessesCode0
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
Empirical Likelihood Covariate Adjustment for Regression Discontinuity Designs—0
Defending Regression Learners Against Poisoning AttacksCode0
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control—0
Minimum discrepancy principle strategy for choosing k in k-NN regressionCode0
Estimating the time-lapse between medical insurance reimbursement with non-parametric regression models—0
Structure Learning in Inverse Ising Problems Using _2-Regularized Linear Estimator—0
Positive semidefinite support vector regression metric learning—0
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes—0
Visual stream connectivity predicts assessments of image quality—0
Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences—0
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization—0
Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves—0
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled VideosCode0
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations—0
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP—0
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression—0
A dynamic ordered logit model with fixed effects—0
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer—0
Flow Field Reconstructions with GANs based on Radial Basis Functions—0
Political Openness and Armed Conflict: Evidence from Local Councils in Colombia—0
Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression—0
Deterministic error bounds for kernel-based learning techniques under bounded noiseCode0
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic RegressionCode0
Feature Ranking for Semi-supervised Learning—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