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regression

Papers

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Showing 6751–6800 of 9424 papers

TitleStatusHype
Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control—0
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control—0
Uniform Function Estimators in Reproducing Kernel Hilbert Spaces—0
Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores—0
Simultaneous Inference for Local Structural Parameters with Random Forests—0
Uniform Inference in High-Dimensional Threshold Regression Models—0
Uniform regret bounds over R^d for the sequential linear regression problem with the square loss—0
Uniform Sampling for Matrix Approximation—0
Unifying Question Answering, Text Classification, and Regression via Span Extraction—0
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening—0
UNITOR: Combining Semantic Text Similarity functions through SV Regression—0
UNITOR-CORE\_TYPED: Combining Text Similarity and Semantic Filters through SV Regression—0
Univariate Long-Term Municipal Water Demand Forecasting—0
Universal Adversarial Attack on Deep Learning Based Prognostics—0
Universal Adversarial Attacks on Neural Networks for Power Allocation in a Massive MIMO System—0
Universal Bounding Box Regression and Its Applications—0
Universal consistency and minimax rates for online Mondrian Forests—0
Large Scale Prediction with Decision Trees—0
Universal Domain Adaptation in Ordinal Regression—0
Universalizing Weak Supervision—0
Universal Regression with Adversarial Responses—0
Universum Learning for SVM Regression—0
Unleashing the Power of AI: Transforming Marketing Decision-Making in Heavy Machinery with Machine Learning, Radar Chart Simulation, and Markov Chain Analysis—0
Unseen Face Presentation Attack Detection Using Class-Specific Sparse One-Class Multiple Kernel Fusion Regression—0
Unstructured Road Vanishing Point Detection Using the Convolutional Neural Network and Heatmap Regression—0
Unsupervised Cross-Domain Regression for Fine-grained 3D Game Character Reconstruction—0
Unsupervised Domain Adaptation with Copula Models—0
Unsupervised Ensemble Regression—0
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression—0
Unsupervised Functional Dependency Discovery for Data Preparation—0
Unsupervised Image Regression for Heterogeneous Change Detection—0
Unsupervised Learning For Effective User Engagement on Social Media—0
Unsupervised learning of regression mixture models with unknown number of components—0
Autoencoding Slow Representations for Semi-supervised Data Efficient Regression—0
UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection—0
UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations—0
uOttawa at SemEval-2018 Task 1: Self-Attentive Hybrid GRU-Based Network—0
Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits—0
UQ of 2D Slab Burner DNS: Surrogates, Uncertainty Propagation, and Parameter Calibration—0
Detecting of multi-modality in probabilistic regression models—0
USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics—0
Use Case Point Approach Based Software Effort Estimation using Various Support Vector Regression Kernel Methods—0
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution—0
Using 3D reconstruction from image motion to predict total leaf area in dwarf tomato plants—0
Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images—0
A memory of motion for visual predictive control tasks—0
Using Analytic Scoring Rubrics in the Automatic Assessment of College-Level Summary Writing Tasks in L2—0
Using Artificial Intelligence to Improve Classroom Learning Experience—0
Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification—0
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes—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