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regression

Papers

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Showing 5301–5350 of 9424 papers

TitleStatusHype
Feature space approximation for kernel-based supervised learningCode0
Hyper-parameter estimation method with particle swarm optimization—0
Reinforced optimal control—0
A Non-linear Function-on-Function Model for Regression with Time Series Data—0
Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general methodCode0
Data-aided Sensing for Gaussian Process Regression in IoT Systems—0
Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos—0
Neural Networks as Inter-Domain Inducing Points—0
On the Inconsistency of Bayesian Inference for Misspecified Neural Networks—0
Neural Linear Models with Functional Gaussian Process Priors—0
Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification—0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Decoupled Sparse Gaussian Processes Components]Decoupled Sparse Gaussian Processes Components : Separating Decision Making from Data Manifold Fitting—0
Marginalised Spectral Mixture Kernels with Nested Sampling—0
Online Orthogonal Matching Pursuit—0
On the coercivity condition in the learning of interacting particle systems—0
Flight Sensor Data and Beamforming based Integrated UAV Tracking with Channel Estimation using Gaussian Process Regression—0
Model-based Reinforcement Learning for Continuous Control with Posterior SamplingCode0
ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view ClusteringCode0
Anderson acceleration of coordinate descent—0
Learning to Predict the 3D Layout of a Scene—0
Positive-Congruent Training: Towards Regression-Free Model Updates—0
A Risk Based approach for the Solvency Capital requirement for Health Plans—0
A Discussion on Practical Considerations with Sparse Regression Methodologies—0
SoftSeg: Advantages of soft versus binary training for image segmentation—0
Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis—0
Combining Prosodic, Voice Quality and Lexical Features to Automatically Detect Alzheimer's Disease—0
VIB is Half Bayes—0
Machine-Learning Number Fields—0
Developing an Effective and Automated Patient Engagement Estimator for Telehealth: A Machine Learning Approach—0
IIT_kgp at FinCausal 2020, Shared Task 1: Causality Detection using Sentence Embeddings in Financial Reports—0
Avoiding Communication in Logistic Regression—0
Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning—0
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities—0
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics—0
Formation of Regression Model for Analysis of Complex Systems Using Methodology of Genetic Algorithms—0
Non-stationary Online Regression—0
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems—0
Regression Trees for Cumulative Incidence Functions—0
Toward the Fully Physics-Informed Echo State Network -- an ODE Approximator Based on Recurrent Artificial Neurons—0
Relative Lipschitzness in Extragradient Methods and a Direct Recipe for Acceleration—0
Gaussian Transforms Modeling and the Estimation of Distributional Regression Functions—0
Node Attribute Completion in Knowledge Graphs with Multi-Relational PropagationCode0
Spring-Rod System Identification via Differentiable Physics Engine—0
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners—0
Google Trends Analysis of COVID-19—0
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images—0
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression—0
Ridge Regression with Frequent Directions: Statistical and Optimization Perspectives—0
Deep learning architectures for inference of AC-OPF solutions—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