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parameter estimation

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TitleStatusHype
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning—0
An Unsupervised Parameter Estimation Algorithm for a Generative Dependency N-gram Language Model—0
Surface Registration Using Genetic Algorithm in Reduced Search Space—0
Constrained Bayesian Inference for Low Rank Multitask Learning—0
Exponentially Fast Parameter Estimation in Networks Using Distributed Dual Averaging—0
Variational Bayes Approximations for Clustering via Mixtures of Normal Inverse Gaussian Distributions—0
Discriminative Parameter Estimation for Random Walks Segmentation—0
Likelihood Adaptively Modified Penalties—0
A Likelihood Ratio Approach for Probabilistic Inequalities—0
High dimensional Sparse Gaussian Graphical Mixture Model—0
Mixtures of Common Skew-t Factor Analyzers—0
On-line Bayesian parameter estimation in general non-linear state-space models: A tutorial and new results—0
Accuracy of MAP segmentation with hidden Potts and Markov mesh prior models via Path Constrained Viterbi Training, Iterated Conditional Modes and Graph Cut based algorithms—0
Loss minimization and parameter estimation with heavy tails—0
A Direct Estimation of High Dimensional Stationary Vector Autoregressions—0
Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models—0
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting—0
Relaxed Sparse Eigenvalue Conditions for Sparse Estimation via Non-convex Regularized Regression—0
Learning to encode motion using spatio-temporal synchrony—0
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression—0
Flexible sampling of discrete data correlations without the marginal distributions—0
Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report—0
Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost—0
Parameter Estimation for LDA-Frames—0
A Fast Approximate AIB Algorithm for Distributional Word Clustering—0
Affine Invariant Divergences associated with Composite Scores and its Applications—0
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery—0
Inference in Kingman's Coalescent with Particle Markov Chain Monte Carlo Method—0
Inferring ground truth from multi-annotator ordinal data: a probabilistic approach—0
Inference and learning in probabilistic logic programs using weighted Boolean formulas—0
Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models—0
Estimation Stability with Cross Validation (ESCV)—0
Variational MCMC—0
Parameter estimation under uncertainty with Simulated Annealing applied to an ant colony based probabilistic WSD algorithm—0
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes—0
Multi-Stage Multi-Task Feature Learning—0
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System—0
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models—0
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression—0
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning—0
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning—0
APPLE: Approximate Path for Penalized Likelihood Estimators—0
Tensor decompositions for learning latent variable models—0
A Method of Moments for Mixture Models and Hidden Markov ModelsCode0
Neural Reconstruction with Approximate Message Passing (NeuRAMP)—0
Factorization MachinesCode0
Semi-Supervised Learning with Adversarially Missing Label Information—0
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains—0
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach—0
The Maximal Causes of Natural Scenes are Edge Filters—0
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