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regression

Papers

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Showing 9051–9075 of 9424 papers

TitleStatusHype
Dropout Drops Double Descent—0
Dropout Regularization Versus _2-Penalization in the Linear Model—0
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience—0
Drug Repurposing Targeting COVID-19 3CL Protease using Molecular Docking and Machine Learning Regression Approach—0
Dual Control for Approximate Bayesian Reinforcement Learning—0
Dual Grid Net: hand mesh vertex regression from single depth maps—0
Dual Linear Regression Based Classification for Face Cluster Recognition—0
Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption—0
Dual Path Networks for Multi-Person Human Pose Estimation—0
Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector—0
Duluth at SemEval-2020 Task 12: Offensive Tweet Identification in English with Logistic Regression—0
DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles—0
DUTH at SemEval-2021 Task 7: Is Conventional Machine Learning for Humorous and Offensive Tasks enough in 2021?—0
Dyadic Regression—0
Dyadic Regression with Sample Selection—0
Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference—0
Dynamic Attention-controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-set Sample Weighting—0
Dynamic covariate balancing: estimating treatment effects over time with potential local projections—0
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling—0
Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes—0
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning—0
Dynamic optimization of volatile fatty acids to enrich biohydrogen production using a deep learning neural network—0
Dynamic Ordered Panel Logit Models—0
Dynamic programming for optimal stopping via pseudo-regression—0
Dynamic Regression Discontinuity: An Event-Study Approach—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