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parameter estimation

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Showing 1551–1600 of 1719 papers

TitleStatusHype
Instantaneous Modelling and Reverse Engineering of DataConsistent Prime Models in Seconds!—0
Partial Membership Latent Dirichlet AllocationCode0
Consistent Parameter Estimation for LASSO and Approximate Message Passing—0
Wavelet-Based Compression and Peak Detection Method for the Experimentally Estimation of Microtubules Dynamic Instability Parameters Identified in Three States—0
Quantification in-the-wild: data-sets and baselines—0
The Proximal Robbins-Monro Method—0
Robust Parameter Estimation for Biological Systems: A Study on the Dynamics of Microbial Communities—0
Stochastic gradient descent methods for estimation with large data setsCode0
A sequential approach to calibrate ecosystem models with multiple time series data—0
Diffusion-KLMS Algorithm and its Performance Analysis for Non-Linear Distributed Networks—0
Machine Learning Model of the Swift/BAT Trigger Algorithm for Long GRB Population StudiesCode0
Modeling, Simulating, and Parameter Fitting of Biochemical Kinetic Experiments—0
A Dictionary Learning Approach for Factorial Gaussian Models—0
Uncertainty analysis and composite hypothesis under the likelihood paradigm—0
Are Slepian-Wolf Rates Necessary for Distributed Parameter Estimation?—0
Training Conditional Random Fields with Natural Gradient Descent—0
A MAP approach for _q-norm regularized sparse parameter estimation using the EM algorithm—0
Progressive EM for Latent Tree Models and Hierarchical Topic Detection—0
Mathematical and Statistical Techniques for Systems Medicine: The Wnt Signaling Pathway as a Case Study—0
Fast Approximate Bayesian Computation for Estimating Parameters in Differential Equations—0
Genome-wide modelling of transcription kinetics reveals patterns of RNA production delays—0
Joint estimation of quantile planes over arbitrary predictor spaces—0
SAR Imaging of Moving Target based on Knowledge-aided Two-dimensional Autofocus—0
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM—0
A note on patch-based low-rank minimization for fast image denoising—0
Manifold Optimization for Gaussian Mixture Models—0
Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification—0
Bayesian Dark KnowledgeCode0
Convolutional Dictionary Learning through Tensor Factorization—0
Multi-View Factorization MachinesCode0
Bayesian Inference for Neighborhood Filters With Application in Denoising—0
A Fast and Flexible Algorithm for the Graph-Fused LassoCode0
Learning Dynamic Feature Selection for Fast Sequential Prediction—0
Towards stability and optimality in stochastic gradient descent—0
Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDACode0
When and why are log-linear models self-normalizing?—0
Adaptive Randomized Dimension Reduction on Massive Data—0
Shared latent subspace modelling within Gaussian-Binary Restricted Boltzmann Machines for NIST i-Vector Challenge 2014—0
Parameter estimation and bifurcation analysis of stochastic models of gene regulatory networks: tensor-structured methods—0
Deep Clustered Convolutional Kernels—0
Contrastive Pessimistic Likelihood Estimation for Semi-Supervised ClassificationCode0
Parameter estimation in softmax decision-making models with linear objective functions—0
Probabilistic Models for High-Order Projective Dependency Parsing—0
Newton-based maximum likelihood estimation in nonlinear state space modelsCode0
Tensor Factorization via Matrix FactorizationCode0
Identifiability and optimal rates of convergence for parameters of multiple types in finite mixtures—0
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality—0
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression—0
On Semiparametric Exponential Family Graphical Models—0
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory—0
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