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regression

Papers

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Showing 5751–5800 of 9424 papers

TitleStatusHype
Interpretable Deep Regression Models with Interval-Censored Failure Time Data—0
Interpretable Ensemble Learning for Materials Property Prediction with Classical Interatomic Potentials: Carbon as an Example—0
Interpretable Feature Construction for Time Series Extrinsic Regression—0
Interpretable Learning-to-Rank with Generalized Additive Models—0
Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing—0
Application of Explainable Machine Learning in Detecting and Classifying Ransomware Families Based on API Call Analysis—0
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death—0
Interpretable Phase Detection and Classification with Persistent Homology—0
Interpretable Policies for Reinforcement Learning by Genetic Programming—0
Interpretable Polynomial Neural Ordinary Differential Equations—0
Interpretable Predictive Models for Healthcare via Rational Logistic Regression—0
Interpretable Reinforcement Learning with Ensemble Methods—0
Interpretable Robotic Friction Learning via Symbolic Regression—0
Interpretable Robust Recommender Systems with Side Information—0
Interpretable Selective Learning in Credit Risk—0
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition—0
Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features—0
Interpretation of Prediction Models Using the Input Gradient—0
Interpreting Complex Regression Models—0
Interpreting intermediate convolutional layers in unsupervised acoustic word classification—0
Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation—0
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect—0
Interpreting Unconditional Quantile Regression with Conditional Independence—0
Interval Arithmetic and Interval-Aware Operators for Genetic Programming—0
Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values—0
Interval Forecasting of Electricity Demand: A Novel Bivariate EMD-based Support Vector Regression Modeling Framework—0
Interval Regression: A Comparative Study with Proposed Models—0
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery—0
Intrinsic Non-stationary Covariance Function for Climate Modeling—0
Intrinsic Wrapped Gaussian Process Regression Modeling for Manifold-valued Response Variable—0
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures—0
Introduction to logistic regression—0
Introduction to Machine Learning for Accelerator Physics—0
Intrusion Detection Systems Using Adaptive Regression Splines—0
Invariances of random fields paths, with applications in Gaussian Process Regression—0
Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion—0
Inverse classification with logistic and softmax classifiers: efficient optimization—0
Inverse learning in Hilbert scales—0
Investigating Flight Envelope Variation Predictability of Impaired Aircraft using Least-Squares Regression Analysis—0
Investigating Growth at Risk Using a Multi-country Non-parametric Quantile Factor Model—0
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach—0
Investigating the Relationship Between Dropout Regularization and Model Complexity in Neural Networks—0
Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics, and the Perception of Team Social Outcomes—0
Investigation on data fusion of sun-induced chlorophyll fluorescence and reflectance for photosynthetic capacity of rice—0
iREPO: implicit Reward Pairwise Difference based Empirical Preference Optimization—0
IRLab\_DAIICT at SemEval-2020 Task 12: Machine Learning and Deep Learning Methods for Offensive Language Identification—0
IRLab\_DAIICT at SemEval-2020 Task 9: Machine Learning and Deep Learning Methods for Sentiment Analysis of Code-Mixed Tweets—0
IRNLP_DAIICT@LT-EDI-EACL2021: Hope Speech detection in Code Mixed text using TF-IDF Char N-grams and MuRIL—0
ISA^2: Intelligent Speed Adaptation from Appearance—0
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?—0
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

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