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regression

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Showing 7701–7750 of 9424 papers

TitleStatusHype
Approximation Properties of Variational Bayes for Vector Autoregressions—0
Approximation Schemes for ReLU Regression—0
A precise machine learning aided algorithm for land subsidence or upheave prediction from GNSS time series—0
A Precise Performance Analysis of Support Vector Regression—0
A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment—0
A prediction rigidity formalism for low-cost uncertainties in trained neural networks—0
A predictive estimator of finite population mean using nonparametric regression—0
A Predictive Model for Student Performance in Classrooms Using Student Interactions With an eTextbook—0
A Preliminary Exploration of Floating Point Grammatical Evolution—0
A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances—0
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study—0
A Probabilistic Linear Genetic Programming with Stochastic Context-Free Grammar for solving Symbolic Regression problems—0
A Probabilistic Machine Learning Approach to Detect Industrial Plant Faults—0
A probabilistic Taylor expansion with Gaussian processes—0
A proof of convergence of multi-class logistic regression network—0
A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems—0
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data—0
A PTAS for Agnostically Learning Halfspaces—0
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy—0
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors—0
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression—0
Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features—0
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression—0
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares—0
A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, a Precise Phase Transition, and the Corresponding Double Descent—0
Arbitrary-Oriented Object Detection in Remote Sensing Images Based on Polar Coordinates—0
ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets—0
Area-norm COBRA on Conditional Survival Prediction—0
More Robust Estimators for Instrumental-Variable Panel Designs, With An Application to the Effect of Imports from China on US Employment—0
Are Bitcoins price predictable? Evidence from machine learning techniques using technical indicators—0
A Recurrent and Compositional Model for Personality Trait Recognition from Short Texts—0
Are Direct Links Necessary in RVFL NNs for Regression?—0
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization—0
A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer—0
A Regression Approach to Certain Information Transmission Problems—0
A Regression Approach to Learning-Augmented Online Algorithms—0
A Regression-based Approach to Modeling Addressee Backchannels—0
A Regression Framework for Predicting User's Next Location using Call Detail Records—0
A regression model with a hidden logistic process for feature extraction from time series—0
A regression model with a hidden logistic process for signal parametrization—0
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation—0
Are Instrumental Variables Really That Instrumental? Endogeneity Resolution in Regression Models for Comparative Studies—0
Are Labels Always Necessary for Classifier Accuracy Evaluation?—0
Are Latent Factor Regression and Sparse Regression Adequate?—0
Are Linear Regression Models White Box and Interpretable?—0
Are screening methods useful in feature selection? An empirical study—0
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction—0
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs—0
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs—0
A review of predictive uncertainty estimation with machine learning—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