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regression

Papers

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Showing 2951–3000 of 9424 papers

TitleStatusHype
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?—0
Embryonic Elongation controlled by Graded Cell Fate: A Molecular Dynamics Approach—0
EM Converges for a Mixture of Many Linear Regressions—0
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems—0
EM for Mixture of Linear Regression with Clustered Data—0
EMLight: Lighting Estimation via Spherical Distribution Approximation—0
A New Test for Market Efficiency and Uncovered Interest Parity—0
A unified spectra analysis workflow for the assessment of microbial contamination of ready to eat green salads: Comparative study and application of non-invasive sensors—0
EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets—0
EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTM—0
Deep learning from strongly mixing observations: Sparse-penalized regularization and minimax optimality—0
Emotionally-Informed Models for Detecting Moments of Change and Suicide Risk Levels in Longitudinal Social Media Data—0
Bosonic Random Walk Networks for Graph Learning—0
Emotion Recognition Using Convolutional Neural Networks—0
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models—0
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System—0
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification—0
Empirical Bayes Estimation for Lasso-Type Regularizers: Analysis of Automatic Relevance Determination—0
Empirical Decomposition of the IV-OLS Gap with Heterogeneous and Nonlinear Effects—0
Empirical entropy, minimax regret and minimax risk—0
A Unified Scheme of ResNet and Softmax—0
Empirical Models of the Time Evolution of SPX Option Prices—0
Regression-based Physics Informed Neural Networks (Reg-PINNs) for Magnetopause Tracking—0
Empirical risk minimization is consistent with the mean absolute percentage error—0
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels—0
Empirical Study of Deep Learning for Text Classification in Legal Document Review—0
Employee Attrition Prediction—0
EmpNa at WASSA 2021: A Lightweight Model for the Prediction of Empathy, Distress and Emotions from Reactions to News Stories—0
An Experimental Comparison of Old and New Decision Tree Algorithms—0
Adaptive observer of state variables of a nonlinear time varying system with unknown constant parameters—0
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes—0
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models—0
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data—0
Encompassing Tests for Nonparametric Regressions—0
Encrypted accelerated least squares regression—0
A Unified Framework for Training Neural Networks—0
IV Regressions without Exclusion Restrictions—0
End-to-end deep learning for directly estimating grape yield from ground-based imagery—0
End-to-End Dense Video Grounding via Parallel Regression—0
An Experiment on Feature Selection using Logistic Regression—0
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking—0
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN—0
Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates—0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays—0
LTS-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects—0
Adversarial attacks against Bayesian forecasting dynamic models—0
Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates—0
Enforcing asymptotic behavior with DNNs for approximation and regression in finance—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—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