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regression

Papers

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Showing 5451–5500 of 9424 papers

TitleStatusHype
Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndromeCode0
Data-driven Inverter-based Volt/VAr Control for Partially Observable Distribution Networks—0
Biogeography-Based Optimization and Support Vector Regression for Freeway Travel Time Prediction and Feature Selection—0
Very Deep Super-Resolution of Remotely Sensed Images with Mean Square Error and Var-norm Estimators as Loss Functions—0
Additive interaction modelling using I-priorsCode0
Random Forests for dependent dataCode1
Accuracy and stability of solar variable selection comparison under complicated dependence structuresCode0
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and TrackingCode1
Truncated Linear Regression in High Dimensions—0
Learning Output Embeddings in Structured Prediction—0
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms—0
Reachable Sets of Classifiers and Regression Models: (Non-)Robustness Analysis and Robust Training—0
Unconditional Quantile Regression with High Dimensional Data—0
Local Projection Inference is Simpler and More Robust Than You ThinkCode1
Robust Similarity and Distance Learning via Decision Forests—0
Multi-Task Learning for Multi-Dimensional Regression: Application to Luminescence Sensing—0
SADet: Learning An Efficient and Accurate Pedestrian Detector—0
Contrastive Visual-Linguistic PretrainingCode0
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech EnhancementCode1
Duluth at SemEval-2020 Task 12: Offensive Tweet Identification in English with Logistic Regression—0
Posterior Consistency of Semi-Supervised Regression on Graphs—0
The Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Lazy Training—0
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural NetworksCode1
Counting Fish and Dolphins in Sonar Images Using Deep Learning—0
Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding—0
Quantum Differentially Private Sparse Regression Learning—0
Online Boosting with Bandit Feedback—0
An Intelligent QoS Algorithm for Home Networks—0
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for BrazilCode0
Spectral estimation from simulations via sketching—0
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variablesCode0
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations—0
Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement—0
Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data—0
Prediction in latent factor regression: Adaptive PCR and beyond—0
AWR: Adaptive Weighting Regression for 3D Hand Pose EstimationCode1
A Comparison of Machine Learning Algorithms Applied to American Legislature PolarizationCode0
A Distributionally Robust Approach to Fair Classification—0
Uncovering a factor-based expected return conditioning structure with Regression Trees jointly for many stocks—0
Government spending and multi-category treatment effects:The modified conditional independence assumptionCode0
OccamNet: A Fast Neural Model for Symbolic Regression at ScaleCode1
RepPoints V2: Verification Meets Regression for Object DetectionCode1
TUDataset: A collection of benchmark datasets for learning with graphsCode1
Optimal Robust Linear Regression in Nearly Linear Time—0
Forecasting Hyponatremia in hospitalized patients Using Multilayer Perceptron and Multivariate Linear Regression Techniques—0
Least Squares Estimation Using Sketched Data with Heteroskedastic ErrorsCode0
Compression strategies and space-conscious representations for deep neural networks—0
Measurement error models: from nonparametric methods to deep neural networks—0
Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits—0
Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study of an Orienteering Race—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