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regression

Papers

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Showing 2051–2100 of 9424 papers

TitleStatusHype
A Comparison of Baseline Models and a Transformer Network for SOC Prediction in Lithium-Ion Batteries—0
Decoupled Sparse Gaussian Processes Components]Decoupled Sparse Gaussian Processes Components : Separating Decision Making from Data Manifold Fitting—0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression—0
A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN—0
Bayesian Optimization with Informative Covariance—0
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR—0
An Analysis of Sketched IRLS for Accelerated Sparse Residual Regression—0
An Analysis of Loss Functions for Binary Classification and Regression—0
A better method to enforce monotonic constraints in regression and classification trees—0
Bayesian Optimization by Kernel Regression and Density-based Exploration—0
A deep learning-based method for relative location prediction in CT scan images—0
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods—0
Decoupled and Interactive Regression Modeling for High-performance One-stage 3D Object Detection—0
Decoupling Features and Coordinates for Few-shot RGB Relocalization—0
Bayesian Nonlinear Regression using Sums of Simple Functions—0
Bayesian Neural Network via Stochastic Gradient Descent—0
An analysis of least squares regression and neural networks approximation for the pricing of swing options—0
Bayesian Neural Networks: An Introduction and Survey—0
Bayesian Network Learning via Topological Order—0
An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio Features—0
A Deep Learning Approach for Characterizing Major Galaxy Mergers—0
Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications—0
Bayesian Model Selection Methods for Mutual and Symmetric k-Nearest Neighbor Classification—0
An Analysis of Active Learning With Uniform Feature Noise—0
Bayesian model selection consistency and oracle inequality with intractable marginal likelihood—0
Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm—0
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression—0
A decomposition method to evaluate the `paradox of progress' with evidence for Argentina—0
A comparison between Recurrent Neural Networks and classical machine learning approaches In Laser induced breakdown spectroscopy—0
Bayesian Modeling of TVP-VARs Using Regression Trees—0
Bayesian mixtures of spatial spline regressions—0
Analyzing Trendy Twitter Hashtags in the 2022 French Election—0
Bayesian meta learning for trustworthy uncertainty quantification—0
Bayesian longitudinal tensor response regression for modeling neuroplasticity—0
Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification—0
A Decision Tree Approach to Predicting Recidivism in Domestic Violence—0
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels—0
Bayesian linear regression with Student-t assumptions—0
A Comparison Between Decision Trees and Decision Tree Forest Models for Software Development Effort Estimation—0
Bayesian Linear Regression with Cauchy Prior and Its Application in Sparse MIMO Radar—0
Bayesian Linear Regression on Deep Representations—0
Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression—0
A Benchmark Study by using various Machine Learning Models for Predicting Covid-19 trends—0
DECOrrelated feature space partitioning for distributed sparse regression—0
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier—0
Analytic Continued Fractions for Regression: A Memetic Algorithm Approach—0
Bayesian Learning of Play Styles in Multiplayer Video Games—0
A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches—0
Bayesian learning of feature spaces for multitasks problems—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