X
Search Filters
Format Format
Format Format
X
Sort by Item Count (A-Z)
Filter by Count
Journal Article (1347) 1347
Conference Proceeding (374) 374
Publication (186) 186
Book Chapter (19) 19
Dissertation (6) 6
Book / eBook (3) 3
Book Review (1) 1
Government Document (1) 1
Paper (1) 1
more...
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
variational bayes (488) 488
algorithms (414) 414
bayes methods (356) 356
engineering, electrical & electronic (344) 344
bayesian analysis (316) 316
computer science, artificial intelligence (266) 266
analysis (259) 259
mathematical models (221) 221
models (214) 214
variational inference (191) 191
index medicus (164) 164
computer simulation (162) 162
inference (160) 160
computer science (149) 149
statistics & probability (142) 142
bayes theorem (133) 133
approximation (121) 121
model (116) 116
usage (115) 115
humans (113) 113
artificial intelligence (109) 109
data models (107) 107
algorithm (102) 102
machine learning (102) 102
bayesian methods (98) 98
statistics (98) 98
noise (93) 93
variational methods (93) 93
estimation (91) 91
methods (88) 88
optimization (88) 88
computational modeling (87) 87
mathematical analysis (87) 87
hidden markov models (84) 84
variational bayesian (83) 83
variational bayesian inference (83) 83
classification (82) 82
studies (80) 80
parameter estimation (79) 79
neurosciences (78) 78
computer science, information systems (75) 75
bayesian statistical decision theory (73) 73
neural networks (73) 73
bayesian inference (71) 71
computer science, interdisciplinary applications (71) 71
signal processing (70) 70
markov processes (69) 69
data assimilation (68) 68
inference algorithms (68) 68
clustering (66) 66
learning (66) 66
noise measurement (65) 65
image processing (64) 64
approximation methods (62) 62
research (61) 61
monte carlo method (60) 60
computer science, theory & methods (59) 59
mathematical model (59) 59
radiology, nuclear medicine & medical imaging (57) 57
signal processing algorithms (57) 57
approximation algorithms (56) 56
automation & control systems (56) 56
covariance matrices (56) 56
mixture models (53) 53
computation (52) 52
regression (52) 52
telecommunications (52) 52
gaussian processes (51) 51
gaussian distribution (50) 50
probabilistic logic (50) 50
models, statistical (48) 48
robustness (48) 48
em algorithm (47) 47
images (47) 47
neuroimaging (47) 47
training (47) 47
variational approximation (47) 47
variational data assimilation (47) 47
meteorology & atmospheric sciences (46) 46
model selection (46) 46
uncertainty (46) 46
vectors (46) 46
image segmentation (45) 45
mathematics (45) 45
segmentation (45) 45
feature extraction (44) 44
target tracking (43) 43
kalman filters (42) 42
markov chain monte carlo (42) 42
sensors (42) 42
framework (41) 41
pattern recognition (41) 41
systems (41) 41
variational bayes method (41) 41
engineering (40) 40
mathematics, applied (40) 40
dirichlet problem (39) 39
dirichlet process (39) 39
markov chains (39) 39
models, neurological (39) 39
more...
Language Language
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


Journal of the American Statistical Association, ISSN 0162-1459, 07/2019, Volume 114, Issue 527, pp. 1147 - 1161
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 08/2018, Volume 19, pp. 1 - 49
Mean-field Variational Bayes (MFVB) is an approximate Bayesian posterior inference technique that is increasingly popular due to its fast runtimes on... 
Bayesian robustness | Mean field approximation | Linear response theory | Variational bayes | Automatic differentiation | Laplace approximation | Variational Bayes | LOCAL SENSITIVITY | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 01/2017, Volume 18, pp. 1 - 29
This paper presents the Averaged CVB (ACVB) inference and offers convergence-guaranteed and practically useful fast Collapsed Variational Bayes (CVB)... 
Averaged CVB | Nonparametric Bayes | Collapsed variational Bayes inference | nonparametric Bayes | collapsed variational Bayes inference | averaged CVB | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Mechanical Systems and Signal Processing, ISSN 0888-3270, 05/2017, Volume 88, pp. 377 - 398
Operational modal analysis is the primary tool for modal parameter identification in civil engineering. Bayesian statistics offers an ideal framework for... 
Linear time-invariant system | State space model | System identification | Variational Bayes | Operational modal analysis | DESIGN | UNCERTAINTY | PARAMETERS | ENGINEERING, MECHANICAL | Management science | Algorithms | Analysis | Green technology | Usage
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 08/2018, Volume 19, pp. 1 - 35
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 01/2016, Volume 93, pp. 246 - 254
A new transdimensional Sequential Monte Carlo (SMC) algorithm called SMCVB is proposed. In an SMC approach, a weighted sample of particles is generated from a... 
Variational Bayes | Bayesian analysis | Mixture models | Transdimensional sequential Monte Carlo | DISTRIBUTIONS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | APPROXIMATIONS | STATISTICS & PROBABILITY | SIMULATION | INFERENCE | SAMPLERS | Monte Carlo method | Usage | Algorithms | Analysis
Journal Article
Physica D: Nonlinear Phenomena, ISSN 0167-2789, 01/2017, Volume 338, pp. 1 - 16
A new ensemble filter that allows for the uncertainty in the prior distribution is proposed and tested. The filter relies on the conditional Gaussian... 
Random matrix | Secondary filter | Observations | Conditionally Gaussian model | Inverse Wishart distribution | Data assimilation | COVARIANCES | MATHEMATICS, APPLIED | PART I | PHYSICS, MULTIDISCIPLINARY | VARIATIONAL DATA ASSIMILATION | MODEL | PHYSICS, MATHEMATICAL | INTRINSIC NEED | INFLATION | SYSTEMS
Journal Article
Journal of Mathematical Imaging and Vision, ISSN 0924-9907, 11/2014, Volume 50, Issue 3, pp. 199 - 213
Journal Article
Journal Article
Pattern Recognition, ISSN 0031-3203, 09/2018, Volume 81, pp. 280 - 293
We present VIGO, a novel online Bayesian classifier for both binary and multiclass problems. In our model, variational inference for multivariate distribution... 
Data stream | Variational inference | Concept drift | Online learning | Bayesian classifier | PERCEPTRON | ALGORITHMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms
Journal Article
Wireless Personal Communications, ISSN 0929-6212, 6/2018, Volume 100, Issue 3, pp. 895 - 906
This paper considers on–off random access channels where the users transmit either a one or a zero to a base station or fusion center, and it is assumed that... 
Multiuser detection | Engineering | Signal,Image and Speech Processing | Variational Bayes | On–off random access channels | Communications Engineering, Networks | Computer Communication Networks | Sparse signal processing | On-off random access channels | TELECOMMUNICATIONS | Signal processing | Data communications | Research | Methods
Journal Article
STATISTICAL SCIENCE, ISSN 0883-4237, 08/2019, Volume 34, Issue 3, pp. 472 - 485
Variational Bayes (VB) is a common strategy for approximate Bayesian inference, but simple methods are only available for specific classes of models including,... 
REGRESSION | Polya-gamma data augmentation | quadratic approximation | STATISTICS & PROBABILITY | variational Bayes | logistic regression | INFERENCE
Journal Article
Bayesian Analysis, ISSN 1936-0975, 2011, Volume 6, Issue 4, pp. 847 - 900
We develop strategies for mean field variational Bayes approximate inference for Bayesian hierarchical models containing elaborate distributions. We loosely... 
Quadrature | Variational methods | Bayesian inference | Auxiliary mixture sampling | REGRESSION | LIKELIHOOD INFERENCE | APPROXIMATIONS | T-DISTRIBUTION | STATISTICS & PROBABILITY | STOCHASTIC VOLATILITY | MODELING FRAMEWORK | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | STATE-SPACE | SELECTION
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 09/2016, Volume 17
We introduce the term semiparametric mean field variational Bayes to describe the relaxation of mean field variational Bayes in which some density functions in... 
Factor Graph | Bayesian Computing | Non-conjugate Variational Message Passing | Fixed-form Variational Bayes | Fixedpoint Iteration | Nonlinear Conjugate Gradient Method | REGRESSION | Fixed-point Iteration | MODELS | APPROXIMATIONS | INFERENCE | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
International Journal of Approximate Reasoning, ISSN 0888-613X, 02/2018, Volume 93, pp. 153 - 177
In Bayesian nonparametrics model such as Dirichlet process mixture (DPM), learning is almost exclusive to either variational inference or Gibbs sampling. Yet... 
Dirichlet process mixture | Fast Bayesian nonparametrics | Variational Bayes | Variational maximization–maximization algorithm | Gaussian mixture model | MODELS | Variational maximization-maximization algorithm | INFERENCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
No results were found for your search.

Cannot display more than 1000 results, please narrow the terms of your search.