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TitleStatusHype
Online and Distributed learning of Gaussian mixture models by Bayesian Moment Matching—0
ADAGIO: Fast Data-aware Near-Isometric Linear EmbeddingsCode0
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis—0
Singularity structures and impacts on parameter estimation in finite mixtures of distributions—0
An Adaptive Parameter Estimation for Guided Filter based Image Deconvolution—0
A genomic map of the effects of linked selection in Drosophila—0
Parameter Learning for Log-supermodular Distributions—0
Detailed Garment Recovery from a Single-View Image—0
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation—0
Clinical Tagging with Joint Probabilistic Models—0
On Regularization Parameter Estimation under Covariate ShiftCode0
Simultaneous Estimation of Noise Variance and Number of Peaks in Bayesian Spectral Deconvolution—0
Learning to Sketch Human Facial Portraits using Personal Styles by Case-Based Reasoning—0
Whole-brain substitute CT generation using Markov random field mixture models—0
Modeling Group Dynamics Using Probabilistic Tensor Decompositions—0
Semi-Supervised Learning for Neural Machine Translation—0
The limitations of model-based experimental design and parameter estimation in sloppy systems—0
A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting—0
Singular ridge regression with homoscedastic residuals: generalization error with estimated parameters—0
Phase transition on the convergence rate of parameter estimation under an Ornstein-Uhlenbeck diffusion on a tree—0
Online Algorithms For Parameter Mean And Variance Estimation In Dynamic Regression Models—0
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT—0
An Efficient and Flexible Spike Train Model via Empirical Bayes—0
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction—0
Robust and Sparse Regression via γ-divergence—0
Variational Bayesian Inference of Line Spectra—0
Robust Individual Circadian Parameter Estimation for Biosignal-based Personalisation of Cancer Chronotherapy—0
Towards Practical Bayesian Parameter and State Estimation—0
Hard-Clustering with Gaussian Mixture Models—0
Fast moment estimation for generalized latent Dirichlet models—0
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies—0
Adjoint Multi-Start Based Estimation of Cardiac Hyperelastic Material Parameters using Shear Data—0
Calibrar: an R package for fitting complex ecological models—0
DECOrrelated feature space partitioning for distributed sparse regression—0
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds—0
A Closed-Form Solution to Tensor Voting: Theory and Applications—0
Reducing local minima in fitness landscapes of parameter estimation by using piecewise evaluation and state estimation—0
On bivariate lifetime modelling in life insurance applications—0
On the consistency of inversion-free parameter estimation for Gaussian random fields—0
Smoothing parameter estimation framework for IBM word alignment models—0
Joint Estimation of Precision Matrices in Heterogeneous Populations—0
Conditional probability generation methods for high reliability effects-based decision making—0
Online Model Estimation for Predictive Thermal Control of Buildings—0
Inferring Gene Regulatory Network Using An Evolutionary Multi-Objective Method—0
Distributed Adaptive LMF Algorithm for Sparse Parameter Estimation in Gaussian Mixture Noise—0
Matrix Manifold Optimization for Gaussian Mixtures—0
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality—0
Joint Camera Clustering and Surface Segmentation for Large-Scale Multi-View Stereo—0
Human Memory Search as Initial-Visit Emitting Random Walk—0
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference—0
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