| Generalized Ambiguity Decomposition for Understanding Ensemble Diversity | Dec 28, 2013 | DiversityGeneral Classification | —Unverified | 0 |
| Robust EM algorithm for model-based curve clustering | Dec 25, 2013 | ClusteringDensity Estimation | —Unverified | 0 |
| Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time | Dec 25, 2013 | regression | —Unverified | 0 |
| Mixture model-based functional discriminant analysis for curve classification | Dec 25, 2013 | ClassificationGeneral Classification | —Unverified | 0 |
| Model-based clustering with Hidden Markov Model regression for time series with regime changes | Dec 25, 2013 | Clusteringmodel | —Unverified | 0 |
| Joint segmentation of multivariate time series with hidden process regression for human activity recognition | Dec 25, 2013 | Activity RecognitionHuman Activity Recognition | —Unverified | 0 |
| A regression model with a hidden logistic process for feature extraction from time series | Dec 25, 2013 | regressionTime Series | —Unverified | 0 |
| Functional Mixture Discriminant Analysis with hidden process regression for curve classification | Dec 25, 2013 | General Classificationregression | —Unverified | 0 |
| A regression model with a hidden logistic process for signal parametrization | Dec 25, 2013 | regression | —Unverified | 0 |
| Modèle à processus latent et algorithme EM pour la régression non linéaire | Dec 25, 2013 | regression | —Unverified | 0 |
| A hidden process regression model for functional data description. Application to curve discrimination | Dec 25, 2013 | General Classificationregression | —Unverified | 0 |
| An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression | Dec 25, 2013 | Activity RecognitionGeneral Classification | —Unverified | 0 |
| Time series modeling by a regression approach based on a latent process | Dec 25, 2013 | global-optimizationregression | —Unverified | 0 |
| Model-based functional mixture discriminant analysis with hidden process regression for curve classification | Dec 25, 2013 | General Classificationregression | —Unverified | 0 |
| Piecewise regression mixture for simultaneous functional data clustering and optimal segmentation | Dec 25, 2013 | ClassificationClustering | —Unverified | 0 |
| A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates | Dec 25, 2013 | regression | —Unverified | 0 |
| Nonparametric Weight Initialization of Neural Networks via Integral Representation | Dec 23, 2013 | regression | —Unverified | 0 |
| Growing Regression Forests by Classification: Applications to Object Pose Estimation | Dec 22, 2013 | General ClassificationHead Pose Estimation | —Unverified | 0 |
| Manifold regularized kernel logistic regression for web image annotation | Dec 21, 2013 | Binary Classificationregression | —Unverified | 0 |
| Perturbed Gibbs Samplers for Synthetic Data Release | Dec 18, 2013 | Imputationregression | —Unverified | 0 |
| The Bernstein Function: A Unifying Framework of Nonconvex Penalization in Sparse Estimation | Dec 17, 2013 | regression | —Unverified | 0 |
| DeepPose: Human Pose Estimation via Deep Neural Networks | Dec 17, 2013 | Pose Estimationregression | CodeCode Available | 0 |
| Face alignment by explicit shape regression | Dec 13, 2013 | Face Alignmentfeature selection | —Unverified | 0 |
| Performance Analysis Of Regularized Linear Regression Models For Oxazolines And Oxazoles Derivitive Descriptor Dataset | Dec 10, 2013 | regression | —Unverified | 0 |
| bartMachine: Machine Learning with Bayesian Additive Regression Trees | Dec 8, 2013 | BIG-bench Machine LearningDiagnostic | —Unverified | 0 |
