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regression

Papers

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Showing 5851–5900 of 9424 papers

TitleStatusHype
Component-wise Adaptive Trimming For Robust Mixture Regression—0
Secure and Differentially Private Bayesian Learning on Distributed Data—0
A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data—0
Consistency of Extreme Learning Machines and Regression under Non-Stationarity and Dependence for ML-Enhanced Moving Objects—0
On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics—0
On the Nuisance of Control Variables in Regression Analysis—0
Symbolic Pregression: Discovering Physical Laws from Distorted Video—0
Fast cross-validation for multi-penalty ridge regression—0
LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks—0
BLAZE: Blazing Fast Privacy-Preserving Machine Learning—0
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer—0
Sparse Methods for Automatic Relevance DeterminationCode0
Classification vs regression in overparameterized regimes: Does the loss function matter?—0
BART-based inference for Poisson processes—0
Near Instance-Optimality in Differential Privacy—0
Achieving Online Regression Performance of LSTMs with Simple RNNs—0
Nested Model Averaging on Solution Path for High-dimensional Linear Regression—0
On Learnability under General Stochastic Processes—0
Learning Rate Annealing Can Provably Help Generalization, Even for Convex Problems—0
Echo State Networks trained by Tikhonov least squares are L2(μ) approximators of ergodic dynamical systems—0
NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to tackle Internet Humor—0
Scope Head for Accurate Localization in Object Detection—0
Topological regularization with information filtering networks—0
A Unified Weight Learning and Low-Rank Regression Model for Robust Complex Error Modeling—0
A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction—0
Automatic Organization of Neural Modules for Enhanced Collaboration in Neural Networks—0
Relevance Vector Machine with Weakly Informative Hyperprior and Extended Predictive Information Criterion—0
A Locally Adaptive Interpretable RegressionCode0
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques—0
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan—0
Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation—0
MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems—0
Detecting Latent Communities in Network Formation Models—0
The Strong Screening Rule for SLOPECode0
Lifted Regression/Reconstruction Networks—0
Machine Learning and Deep Learning methods for predictive modelling from Raman spectra in bioprocessing—0
Interpretable Learning-to-Rank with Generalized Additive Models—0
One-step regression and classification with crosspoint resistive memory arrays—0
LIMEtree: Consistent and Faithful Multi-class ExplanationsCode0
A Novel GDP Prediction Technique based on Transfer Learning using CO2 Emission Dataset—0
Practical Perspectives on Quality Estimation for Machine Translation—0
Learning Disentangled Representations for CounterFactual Regression—0
Rejoinder for the discussion of the paper "A novel algorithmic approach to Bayesian Logic Regression"—0
Generalization Error of Generalized Linear Models in High DimensionsCode0
Generalization Error for Linear Regression under Distributed Learning—0
L_1-GP: L_1 Adaptive Control with Bayesian Learning—0
Stereotype-Free Classification of Fictitious Faces—0
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems—0
Improving Vertical Positioning Accuracy with the Weighted Multinomial Logistic Regression Classifier—0
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines—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