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regression

Papers

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Showing 8351–8400 of 9424 papers

TitleStatusHype
Comparison of Classical and Nonlinear Models for Short-Term Electricity Price Prediction—0
Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for explaining support vector regression model in terms of root mean square error (RMSE) values—0
Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data—0
Comparison of machine learning and statistical approaches for digital elevation model (DEM) correction: interim results—0
Comparison of Microservice Call Rate Predictions for Replication in the Cloud—0
Comparison of several short-term traffic speed forecasting models—0
Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation—0
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale—0
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression—0
Compensating data shortages in manufacturing with monotonicity knowledge—0
Complementary Composite Minimization, Small Gradients in General Norms, and Applications—0
Sharp Analysis of a Simple Model for Random Forests—0
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients—0
Complexity Measures for Multi-objective Symbolic Regression—0
Complex Support Vector Machines for Regression and Quaternary Classification—0
Complex support vector machines regression for robust channel estimation in LTE downlink system—0
Complex-Valued Gaussian Processes for Regression—0
Complex-valued Gaussian Process Regression for Time Series Analysis—0
Complex-Valued Kernel Methods for Regression—0
Compliance Change Tracking in Business Process Services—0
Component-Wise Boosting of Targets for Multi-Output Prediction—0
Composite Learning Adaptive Control without Excitation Condition—0
Compound Poisson Processes, Latent Shrinkage Priors and Bayesian Nonconvex Penalization—0
Compound virtual screening by learning-to-rank with gradient boosting decision tree and enrichment-based cumulative gain—0
Comprehensive Review On Twin Support Vector Machines—0
Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model—0
Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning—0
Compressed Gaussian Process—0
Compressed Least-Squares Regression—0
Compressed Regression—0
Compressed Regression over Adaptive Networks—0
Compressed Sensing and Overparametrized Networks: Overfitting Peaks in a Model of Misparametrized Sparse Regression in the Interpolation Limit—0
Compressed Sensing with Adversarial Sparse Noise via L1 Regression—0
Compression strategies and space-conscious representations for deep neural networks—0
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition—0
Computational Efficiency under Covariate Shift in Kernel Ridge Regression—0
Computationally and Statistically Efficient Truncated Regression—0
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression—0
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation—0
Computationally Efficient Robust Estimation of Sparse Functionals—0
Computationally efficient versions of conformal predictive distributions—0
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression—0
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression—0
Computing Approximate _p Sensitivities—0
Computing flood probabilities using Twitter: application to the Houston urban area during Harvey—0
Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model—0
Comunication-Efficient Algorithms for Statistical Optimization—0
Concentration inequalities for leave-one-out cross validation—0
Concentration inequalities under sub-Gaussian and sub-exponential conditions—0
A Concentration of Measure Framework to study convex problems and other implicit formulation problems in machine learning—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