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regression

Papers

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Showing 7151–7200 of 9424 papers

TitleStatusHype
Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence—0
Nonlinear Regression without i.i.d. Assumption—0
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image—0
Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction—0
Single-Label Multi-Class Image Classification by Deep Logistic Regression—0
Model change detection with application to machine learning—0
High SNR Consistent Compressive Sensing Without Signal and Noise Statistics—0
Subtask Gated Networks for Non-Intrusive Load Monitoring—0
Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving—0
Mean Square Prediction Error of Misspecified Gaussian Process Models—0
A Generalized Meta-loss function for regression and classification using privileged information—0
Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression—0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN—0
Estimation of High-Dimensional Seemingly Unrelated Regression Models—0
Two-stream convolutional networks for end-to-end learning of self-driving cars—0
Electrophysiological indicators of gesture perception—0
Semi-Supervised Regression with Generative Adverserial Networks for End to End Learning in Autonomous Driving—0
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks—0
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction—0
Learning Representations of Missing Data for Predicting Patient Outcomes—0
Adapting multi-armed bandits policies to contextual bandits scenariosCode0
Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation—0
Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise—0
Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning—0
Scale calibration for high-dimensional robust regression—0
BLP -- Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization—0
Kernel Machines Beat Deep Neural Networks on Mask-based Single-channel Speech Enhancement—0
Theoretical and Experimental Analysis on the Generalizability of Distribution Regression Network—0
Confidence Propagation through CNNs for Guided Sparse Depth RegressionCode0
Kernel Conjugate Gradient Methods with Random Projections—0
A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and RecognitionCode0
Understanding and Comparing Scalable Gaussian Process Regression for Big Data—0
Large-scale Heteroscedastic Regression via Gaussian Process—0
Algorithms for screening of Cervical Cancer: A chronological review—0
Single-Model Uncertainties for Deep LearningCode0
Multi-Kernel Regression with Sparsity Constraint—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
Towards Highly Accurate and Stable Face Alignment for High-Resolution VideosCode0
HMLasso: Lasso with High Missing Rate—0
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax ProbabilitiesCode0
Clustered Monotone Transforms for Rating Factorization—0
WaveGlow: A Flow-based Generative Network for Speech SynthesisCode0
On Fast Leverage Score Sampling and Optimal LearningCode0
Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding—0
Semiparametrically efficient estimation of the average linear regression function—0
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization BoundsCode0
Scaling Gaussian Process Regression with DerivativesCode0
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models—0
Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model—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