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regression

Papers

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Showing 4001–4050 of 9424 papers

TitleStatusHype
Optimal Convergence Rates of Deep Convolutional Neural Networks: Additive Ridge Functions—0
Sequential asset ranking in nonstationary time series—0
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression—0
Towards Speaker Age Estimation with Label Distribution Learning—0
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks—0
Better Modelling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup—0
Nowcasting the Financial Time Series with Streaming Data Analytics under Apache Spark—0
Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning—0
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality—0
Confident Neural Network Regression with Bootstrapped Deep EnsemblesCode0
An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload—0
Distilled Neural Networks for Efficient Learning to RankCode0
Honour Thesis: A Joint Value at Risk and Expected Shortfall Combination Framework and its Applications in the Cryptocurrency Market—0
Estimation of Evaporator Valve Sizes in Supermarket Refrigeration Cabinets—0
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy—0
Memorize to Generalize: on the Necessity of Interpolation in High Dimensional Linear Regression—0
Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive VariablesCode0
Multi-Modal Recurrent Fusion for Indoor Localization—0
Differentially Private Regression with Unbounded Covariates—0
A new LDA formulation with covariates—0
Synthetic Control As Online Linear Regression—0
Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold RegressionCode0
Robust Frequency Constrained UC Using Data Driven Logistic Regression for Island Power Systems—0
A Predictive Model for Student Performance in Classrooms Using Student Interactions With an eTextbook—0
Probing Pretrained Models of Source CodeCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe ScreeningCode0
Continuously Generalized Ordinal Regression for Linear and Deep Models—0
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis—0
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression—0
Spiking Cochlea with System-level Local Automatic Gain Control—0
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field ReconstructionCode0
The Impact of Using Regression Models to Build Defect Classifiers—0
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression—0
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound—0
Posterior Consistency for Bayesian Relevance Vector Machines—0
Scale-free Unconstrained Online Learning for Curved Losses—0
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach—0
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression—0
Random Forest Weighted Local Fréchet Regression with Random Objects—0
House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China—0
A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic RegressionCode0
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP—0
SCR: Smooth Contour Regression with Geometric Priors—0
Fourier Representations for Black-Box Optimization over Categorical Variables—0
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning—0
Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes—0
Distribution Regression with Sliced Wasserstein KernelsCode0
Optimal Ratio for Data Splitting—0
Metric-valued regression—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