The following pages link to (Q4217799):
Displaying 50 items.
- Superresolution with compound Markov random fields via the variational EM algorithm (Q280419) (← links)
- Adaptive importance sampling for control and inference (Q290478) (← links)
- Active inference and agency: optimal control without cost functions (Q353847) (← links)
- Fitting an item response theory model with random item effects across groups by a variational approximation method (Q363610) (← links)
- Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA (Q369345) (← links)
- Mixed-membership naive Bayes models (Q408636) (← links)
- Face recognition from caption-based supervision (Q409141) (← links)
- Free energy computations by minimization of Kullback-Leibler divergence: An efficient adaptive biasing potential method for sparse representations (Q417933) (← links)
- Bayesian image superresolution and hidden variable modeling (Q469640) (← links)
- Modeling and simulation for toxicity assessment (Q504684) (← links)
- On identification of FIR systems having quantized output data (Q644247) (← links)
- Model-based capacitated clustering with posterior regularization (Q724144) (← links)
- Variational Bayesian strategies for high-dimensional, stochastic design problems (Q729450) (← links)
- Evaluation of incremental learning algorithms for HMM in the recognition of alphanumeric characters (Q733070) (← links)
- Maximum likelihood estimation under a finite mixture of generalized exponential distributions based on censored data (Q744755) (← links)
- Block clustering with collapsed latent block models (Q746220) (← links)
- Learning from incomplete data in Bayesian networks with qualitative influences (Q899463) (← links)
- Non-stationary data sequence classification using online class priors estimation (Q931699) (← links)
- A hybrid EM approach to spatial clustering (Q959220) (← links)
- Learning mixture models via component-wise parameter smoothing (Q962310) (← links)
- Machine learning problems from optimization perspective (Q989890) (← links)
- A robust incremental learning framework for accurate skin region segmentation in color images (Q996457) (← links)
- Learning symmetric causal independence models (Q1009256) (← links)
- One-step approximations for detecting regime changes in the state space model with application to the influenza data (Q1023561) (← links)
- Editorial: Some recent trends in applied stochastic modeling and multidimensional data analysis (Q1023650) (← links)
- Block clustering with Bernoulli mixture models: comparison of different approaches (Q1023661) (← links)
- Robust clustering by deterministic agglomeration EM of mixtures of multivariate \(t\)-distributions (Q1347671) (← links)
- Data decomposition using independent component analysis with prior constraints. (Q1403766) (← links)
- Mutual information, phi-squared and model-based co-clustering for contingency tables (Q1630868) (← links)
- Estimating random-intercept models on data streams (Q1658738) (← links)
- A variational expectation-maximization algorithm for temporal data clustering (Q1658997) (← links)
- Variational algorithms for biclustering models (Q1663249) (← links)
- A variational maximization-maximization algorithm for generalized linear mixed models with crossed random effects (Q1682443) (← links)
- Predictive coarse-graining (Q1685164) (← links)
- The free energy principle for action and perception: a mathematical review (Q1690603) (← links)
- Segmental dynamic factor analysis for time series of curves (Q1703840) (← links)
- Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics (Q1714421) (← links)
- Automatic identification of rock fracture sets using finite mixture models (Q1719836) (← links)
- Fast approximation of variational Bayes Dirichlet process mixture using the maximization-maximization algorithm (Q1726386) (← links)
- Improved model-based clustering performance using Bayesian initialization averaging (Q1729337) (← links)
- Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images (Q1764074) (← links)
- Bayesian methods for neural networks and related models (Q1766320) (← links)
- Approximate algorithms for neural-Bayesian approaches. (Q1853467) (← links)
- Computational aspects of fitting mixture models via the expectation-maximization algorithm (Q1927163) (← links)
- Global convergence of the EM algorithm for unconstrained latent variable models with categorical indicators (Q1940987) (← links)
- Variational Bayesian methods for spatial data analysis (Q1942900) (← links)
- Theoretical foundation for CMA-ES from information geometry perspective (Q1945172) (← links)
- Distributed variational Bayesian algorithms for Gaussian mixtures in sensor networks (Q1957240) (← links)
- Data compression by volume prototypes for streaming data (Q1957882) (← links)
- Regularized LTI system identification in the presence of outliers: a variational EM approach (Q2003792) (← links)
