| Deep Convolutional Neural Network for 6-DOF Image Localization | Nov 8, 2016 | Pose Estimationregression | —Unverified | 0 |
| Estimating motion with principal component regression strategies | Nov 8, 2016 | Optical Flow Estimationregression | —Unverified | 0 |
| Recursive Regression with Neural Networks: Approximating the HJI PDE Solution | Nov 8, 2016 | regression | —Unverified | 0 |
| One Class Splitting Criteria for Random Forests | Nov 7, 2016 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 |
| Minimax-optimal semi-supervised regression on unknown manifolds | Nov 7, 2016 | Indoor LocalizationPose Estimation | —Unverified | 0 |
| Distributed Coordinate Descent for Generalized Linear Models with Regularization | Nov 7, 2016 | regression | CodeCode Available | 0 |
| Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation | Nov 5, 2016 | Face Alignmentregression | —Unverified | 0 |
| PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers | Nov 3, 2016 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| High-dimensional regression over disease subgroups | Nov 3, 2016 | regressionVocal Bursts Intensity Prediction | CodeCode Available | 0 |
| Complex-Valued Kernel Methods for Regression | Oct 31, 2016 | regression | —Unverified | 0 |
| Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene | Oct 30, 2016 | DiversityObject | —Unverified | 0 |
| Fuzzy Bayesian Learning | Oct 28, 2016 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 |
| Statistical Inference for Model Parameters in Stochastic Gradient Descent | Oct 27, 2016 | regression | —Unverified | 0 |
| Kriging Metamodels and Experimental Design for Bermudan Option Pricing | Oct 26, 2016 | Experimental Designregression | —Unverified | 0 |
| An Improved Approach for Prediction of Parkinson's Disease using Machine Learning Techniques | Oct 26, 2016 | BIG-bench Machine LearningDiagnostic | —Unverified | 0 |
| Gaussian Process Kernels for Popular State-Space Time Series Models | Oct 25, 2016 | Gaussian Processesregression | —Unverified | 0 |
| Approximate cross-validation formula for Bayesian linear regression | Oct 25, 2016 | regression | —Unverified | 0 |
| Distributed and parallel time series feature extraction for industrial big data applications | Oct 25, 2016 | Binary ClassificationClassification | CodeCode Available | 0 |
| Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis | Oct 25, 2016 | regression | CodeCode Available | 0 |
| Parallelizing Spectral Algorithms for Kernel Learning | Oct 24, 2016 | regression | —Unverified | 0 |
| Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity | Oct 23, 2016 | Demand ForecastingModel Selection | —Unverified | 0 |
| Minimax Error of Interpolation and Optimal Design of Experiments for Variable Fidelity Data | Oct 21, 2016 | regression | —Unverified | 0 |
| Generalization error minimization: a new approach to model evaluation and selection with an application to penalized regression | Oct 18, 2016 | Model Selectionregression | —Unverified | 0 |
| Wind ramp event prediction with parallelized Gradient Boosted Regression Trees | Oct 17, 2016 | ClassificationGeneral Classification | —Unverified | 0 |
| A Closed Form Solution to Multi-View Low-Rank Regression | Oct 14, 2016 | Formregression | —Unverified | 0 |