| Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals | Nov 27, 2020 | Gaussian Processesregression | —Unverified | 0 |
| A Comparison of Statistical and Machine Learning Algorithms for Predicting Rents in the San Francisco Bay Area | Nov 26, 2020 | regression | —Unverified | 0 |
| Modelling brain lesion volume in patches with CNN-based Poisson Regression | Nov 26, 2020 | Image SegmentationMedical Image Segmentation | —Unverified | 0 |
| CYPUR-NN: Crop Yield Prediction Using Regression and Neural Networks | Nov 26, 2020 | Crop Yield Predictionregression | —Unverified | 0 |
| Bayesian Graph Neural Networks for Molecular Property Prediction | Nov 25, 2020 | Molecular Property PredictionPrediction | CodeCode Available | 1 |
| Feature space approximation for kernel-based supervised learning | Nov 25, 2020 | regressionTime Series | CodeCode Available | 0 |
| CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking | Nov 25, 2020 | ClassificationGeneral Classification | —Unverified | 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 method | Nov 24, 2020 | GPRImputation | CodeCode Available | 0 |
| A Non-linear Function-on-Function Model for Regression with Time Series Data | Nov 24, 2020 | regressionTime Series | —Unverified | 0 |
| Hyper-parameter estimation method with particle swarm optimization | Nov 24, 2020 | Bayesian Optimizationparameter estimation | —Unverified | 0 |
| Reinforced optimal control | Nov 24, 2020 | Mathregression | —Unverified | 0 |
| Marginalised Spectral Mixture Kernels with Nested Sampling | Nov 23, 2020 | Prediction Intervalsregression | —Unverified | 0 |
| Decoupled Sparse Gaussian Processes Components]Decoupled Sparse Gaussian Processes Components : Separating Decision Making from Data Manifold Fitting | Nov 23, 2020 | Decision MakingGaussian Processes | —Unverified | 0 |
| On the Inconsistency of Bayesian Inference for Misspecified Neural Networks | Nov 23, 2020 | Bayesian Inferenceregression | —Unverified | 0 |
| Neural Linear Models with Functional Gaussian Process Priors | Nov 23, 2020 | Gaussian Processesregression | —Unverified | 0 |
| Neural Networks as Inter-Domain Inducing Points | Nov 23, 2020 | Gaussian Processesregression | —Unverified | 0 |
| Data-aided Sensing for Gaussian Process Regression in IoT Systems | Nov 23, 2020 | regression | —Unverified | 0 |
| Conjecturing-Based Discovery of Patterns in Data | Nov 23, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 1 |
| Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification | Nov 23, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Dimensionality reduction, regularization, and generalization in overparameterized regressions | Nov 23, 2020 | Data PoisoningDimensionality Reduction | CodeCode Available | 0 |
| Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos | Nov 23, 2020 | Activity RecognitionHuman Activity Recognition | —Unverified | 0 |
| Robust Gaussian Process Regression Based on Iterative Trimming | Nov 22, 2020 | regression | CodeCode Available | 1 |
| Online Orthogonal Matching Pursuit | Nov 22, 2020 | feature selectionregression | —Unverified | 0 |
| Supervised deep learning prediction of the formation enthalpy of the full set of configurations in complex phases: the σ-phase as an example | Nov 21, 2020 | regression | CodeCode Available | 1 |
| Flight Sensor Data and Beamforming based Integrated UAV Tracking with Channel Estimation using Gaussian Process Regression | Nov 20, 2020 | GPRPosition | —Unverified | 0 |