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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 377 occurrences of 211 keywords
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Results
Found 1281 publication records. Showing 1281 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
89 | Wonsik Kim, Joonyoung Park, Kyoung Mu Lee |
Stereo Matching Using Population-Based MCMC. |
Int. J. Comput. Vis. |
2009 |
DBLP DOI BibTeX RDF |
Population-based MCMC, Stereo, Energy minimization |
89 | Christophe Andrieu, Yves F. Atchadé |
On the efficiency of adaptive MCMC algorithms. |
VALUETOOLS |
2006 |
DBLP DOI BibTeX RDF |
adaptive Markov chains, coupling, Markov chain Monte Carlo, stochastic approximation, MCMC, rate of convergence, metropolis algorithm |
85 | Christophe Andrieu, Johannes Thoms |
A tutorial on adaptive MCMC. |
Stat. Comput. |
2008 |
DBLP DOI BibTeX RDF |
Adaptive MCMC, Controlled Markov chain, Stochastic approximation, MCMC |
67 | Marco Grzegorczyk, Dirk Husmeier |
Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move. |
Mach. Learn. |
2008 |
DBLP DOI BibTeX RDF |
MCMC sampling, Bayesian networks, Structure learning |
59 | Joonyoung Park, Wonsik Kim, Kyoung Mu Lee |
Stereo Matching Using Population-Based MCMC. |
ACCV (2) |
2007 |
DBLP DOI BibTeX RDF |
|
59 | István Miklós, Timothy Brooks Paige, Péter Ligeti |
Efficient Sampling of Transpositions and Inverted Transpositions for Bayesian MCMC. |
WABI |
2006 |
DBLP DOI BibTeX RDF |
|
59 | Carsten Riggelsen |
MCMC Learning of Bayesian Network Models by Markov Blanket Decomposition. |
ECML |
2005 |
DBLP DOI BibTeX RDF |
|
56 | Xin He, Brian S. Caffo, Eric C. Frey |
Toward Realistic and Practical Ideal Observer (IO) Estimation for the Optimization of Medical Imaging Systems. |
IEEE Trans. Medical Imaging |
2008 |
DBLP DOI BibTeX RDF |
|
56 | Cajo J. F. ter Braak |
A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces. |
Stat. Comput. |
2006 |
DBLP DOI BibTeX RDF |
Block updating, Evolutionary Monte Carlo, Population Markov Chain Monte Carlo, Simulated Tempering, Theophylline Kinetics, Simulated Annealing, Metropolis algorithm |
56 | Madalina M. Drugan, Dirk Thierens |
Evolutionary Markov Chain Monte Carlo. |
Artificial Evolution |
2003 |
DBLP DOI BibTeX RDF |
|
55 | Ramesh Ram, Madhu Chetty |
MCMC Based Bayesian Inference for Modeling Gene Networks. |
PRIB |
2009 |
DBLP DOI BibTeX RDF |
Bayesian network, parameter estimation, gene expression, MCMC |
55 | José G. Dias, Michel Wedel |
An empirical comparison of EM, SEM and MCMC performance for problematic Gaussian mixture likelihoods. |
Stat. Comput. |
2004 |
DBLP DOI BibTeX RDF |
SEM algorithm, hierarchical prior, EM algorithm, Gaussian mixture models, MCMC, loss functions, label switching, conjugate prior |
52 | Sang Min Oh, James M. Rehg, Tucker R. Balch, Frank Dellaert |
Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems. |
Int. J. Comput. Vis. |
2008 |
DBLP DOI BibTeX RDF |
Trajectory analysis, Time-series, MCMC, Probabilistic graphical models, Biology, Behavior recognition |
48 | Paul Fearnhead |
Computational methods for complex stochastic systems: a review of some alternatives to MCMC. |
Stat. Comput. |
2008 |
DBLP DOI BibTeX RDF |
Particle filter, Diffusions, Importance sampling, Missing data, Forward-backward algorithm, Population genetics |
48 | Iker Zuriarrain, Frédéric Lerasle, Nestor Arana-Arejolaleiba, Michel Devy |
An MCMC-based particle filter for multiple person tracking. |
ICPR |
2008 |
DBLP DOI BibTeX RDF |
|
48 | Jonathan M. R. Byrd, Stephen A. Jarvis, Abhir H. Bhalerao |
Reducing the run-time of MCMC programs by multithreading on SMP architectures. |
IPDPS |
2008 |
DBLP DOI BibTeX RDF |
|
48 | Katrin Sommer, Claus Weihs |
Using MCMC as a Stochastic Optimization Procedure for Monophonic and Polyphonic Sound. |
GfKl |
2006 |
DBLP DOI BibTeX RDF |
|
48 | Zia Khan, Tucker R. Balch, Frank Dellaert |
MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2005 |
DBLP DOI BibTeX RDF |
Markov random fields, Particle filters, Markov chain Monte Carlo, multitarget tracking |
48 | Jing Tian 0002, Kai-Kuang Ma |
A MCMC approach for Bayesian super-resolution image reconstruction. |
ICIP (1) |
2005 |
DBLP DOI BibTeX RDF |
|
45 | Jing Tian 0002, Kai-Kuang Ma |
Super-resolution Imaging Using Grid Computing. |
CCGRID |
2007 |
DBLP DOI BibTeX RDF |
|
45 | Yongtao Guan, Roland Fleißner, Paul Joyce, Stephen M. Krone |
Markov Chain Monte Carlo in small worlds. |
Stat. Comput. |
2006 |
DBLP DOI BibTeX RDF |
Proposal distributions, Markov Chain Monte Carlo, Importance sampling, Small-world networks, Metropolis-Hastings algorithm |
45 | Behrouz Farhang-Boroujeny, Haidong Zhu, Zhenning Shi |
Markov chain Monte Carlo algorithms for CDMA and MIMO communication systems. |
IEEE Trans. Signal Process. |
2006 |
DBLP DOI BibTeX RDF |
|
45 | Stefanos G. Giakoumatos, Petros Dellaportas, Dimitris Nicolas Politis |
Bayesian analysis of the unobserved ARCH model. |
Stat. Comput. |
2005 |
DBLP DOI BibTeX RDF |
ARCH components, Markov chain Monte Carlo, GARCH, auxiliary variables |
45 | Lars Arvestad, Ann-Charlotte Berglund, Jens Lagergren, Bengt Sennblad |
Gene tree reconstruction and orthology analysis based on an integrated model for duplications and sequence evolution. |
RECOMB |
2004 |
DBLP DOI BibTeX RDF |
gene tree, orthology, algorithms, bayesian analysis, reconciliation |
44 | Yanan Fan, Gareth W. Peters, Scott A. Sisson |
Automating and evaluating reversible jump MCMC proposal distributions. |
Stat. Comput. |
2009 |
DBLP DOI BibTeX RDF |
Between-model mappings, Path sampling, Transdimensional MCMC, Markov chain Monte Carlo, Density estimation, Reversible jump |
44 | Huaizhong Zhang, E. Patricia Rodriguez, Philip J. Morrow, Sally I. McClean, Kurt Saetzler |
MCMC-Based Algorithm to Adjust Scale Bias in Large Series of Electron Microscopical Ultrathin Sections. |
CAIP |
2009 |
DBLP DOI BibTeX RDF |
scale bias, image registration, hierarchical model, stochastic simulation, MCMC |
41 | Tao Pei, Ajay Jasra, David J. Hand, A-Xing Zhu, Chenghu Zhou |
DECODE: a new method for discovering clusters of different densities in spatial data. |
Data Min. Knowl. Discov. |
2009 |
DBLP DOI BibTeX RDF |
Data mining, Nearest neighbor, MCMC, Point process, Earthquake, Reversible jump |
41 | Yuan Ren 0002, Yu Ding 0002, Faming Liang |
Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems. |
Stat. Comput. |
2008 |
DBLP DOI BibTeX RDF |
Adaptive MCMC, Evolutionary Monte Carlo, Data mining, Global optimization |
41 | Kuo-ching Liang, Xiaodong Wang 0001, Dimitris Anastassiou |
Bayesian Basecalling for DNA Sequence Analysis Using Hidden Markov Models. |
IEEE ACM Trans. Comput. Biol. Bioinform. |
2007 |
DBLP DOI BibTeX RDF |
Markov chain Monte Carlo (MCMC), electropherogram, basecalling, hidden Markov model (HMM), DNA sequencing |
41 | David J. Allcroft, Chris A. Glasbey |
A Spectral Estimator of Arma Parameters from Thresholded Data. |
Stat. Comput. |
2002 |
DBLP DOI BibTeX RDF |
ARMA process, censoring, cow feeding data, spectral likelihood, tetrachoric correlation, simulation, MCMC |
41 | Heikki Mannila, Marko Salmenkivi |
Finding simple intensity descriptions from event sequence data. |
KDD |
2001 |
DBLP DOI BibTeX RDF |
intensity modeling, MCMC, event sequence |
37 | Ryo Kurazume, Hiroyuki Yamada, Kouji Murakami, Yumi Iwashita, Tsutomu Hasegawa |
Target tracking using SIR and MCMC particle filters by multiple cameras and laser range finders. |
IROS |
2008 |
DBLP DOI BibTeX RDF |
|
37 | Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato |
Identification of MCMC Samples for Clustering. |
LKR |
2008 |
DBLP DOI BibTeX RDF |
|
37 | Mark Fleischer |
Transformations for accelerating MCMC simulations with broken ergodicity. |
WSC |
2007 |
DBLP DOI BibTeX RDF |
|
37 | Xiaosi Zhan, Zhaocai Sun, Yilong Yin, Yun Chen |
Fingerprint Image Segmentation Method Based on MCMC&GA. |
ICIAP |
2005 |
DBLP DOI BibTeX RDF |
|
37 | Timo Kostiainen, Jouko Lampinen |
Efficient proposal distributions for MCMC image segmentation. |
ICIP |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Mun Wai Lee, Isaac Cohen |
Proposal Maps Driven MCMC for Estimating Human Body Pose in Static Images. |
CVPR (2) |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Harvey D. Thornburg, Randal J. Leistikow |
A New Probabilistic Spectral Pitch Estimator: Exact and MCMC-approximate Strategies. |
CMMR |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Zia Khan, Tucker R. Balch, Frank Dellaert |
An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets. |
ECCV (4) |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Malcolm J. A. Strens |
Efficient hierarchical MCMC for policy search. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Jarkko Venna, Samuel Kaski, Jaakko Peltonen |
Visualizations for Assessing Convergence and Mixing of MCMC. |
ECML |
2003 |
DBLP DOI BibTeX RDF |
|
37 | Aki Vehtari, Simo Särkkä, Jouko Lampinen |
On MCMC Sampling in Bayesian MLP Neural Networks. |
IJCNN (1) |
2000 |
DBLP DOI BibTeX RDF |
|
34 | Clare A. McGrory, D. M. Titterington, R. Reeves, Anthony N. Pettitt |
Variational Bayes for estimating the parameters of a hidden Potts model. |
Stat. Comput. |
2009 |
DBLP DOI BibTeX RDF |
Potts/Ising model, Hidden Markov random field, Variational approximation, Pseudo-likelihood, Reduced dependence approximation, Bayesian inference |
34 | Nathan Kitchen, Andreas Kuehlmann |
A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints. |
CAV |
2009 |
DBLP DOI BibTeX RDF |
|
34 | Tetsuya Takaishi |
An Adaptive Markov Chain Monte Carlo Method for GARCH Model. |
Complex (2) |
2009 |
DBLP DOI BibTeX RDF |
GARCH model, Bayesian inference, Markov Chain Monte Carlo, Metropolis-Hastings algorithm |
34 | Takumi Hirata, Hiroyuki Okamura, Tadashi Dohi |
A Bayesian Inference Tool for NHPP-Based Software Reliability Assessment. |
FGIT |
2009 |
DBLP DOI BibTeX RDF |
|
34 | Jonathan M. Keith, Dirk P. Kroese, George Y. Sofronov |
Adaptive independence samplers. |
Stat. Comput. |
2008 |
DBLP DOI BibTeX RDF |
Generalized Markov sampler, Markov chain Monte Carlo, Comparative genomics, Cross-entropy, Adaptive methods |
34 | Vitaly Schetinin, Wojtek J. Krzanowski, Carsten Maple |
The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme. |
CBMS |
2007 |
DBLP DOI BibTeX RDF |
|
34 | Robert G. Aykroyd, Brian A. Cattle |
A flexible statistical and efficient computational approach to object location applied to electrical tomography. |
Stat. Comput. |
2006 |
DBLP DOI BibTeX RDF |
Electrical tomography, Markov chain Monte Carlo, Inverse problems, Boundary element methods, Bayesian statistics |
34 | Madalina M. Drugan, Dirk Thierens |
Recombinative EMCMC algorithms. |
Congress on Evolutionary Computation |
2005 |
DBLP DOI BibTeX RDF |
|
34 | Xiaosi Zhan, Zhaocai Sun, Yilong Yin, Yun Chen |
A Method Based on the Markov Chain Monte Carlo for Fingerprint Image Segmentation. |
FSKD (2) |
2005 |
DBLP DOI BibTeX RDF |
|
34 | David M. Blei, Michael I. Jordan |
Variational methods for the Dirichlet process. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
34 | Philip H. S. Torr, Colin Davidson |
IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2003 |
DBLP DOI BibTeX RDF |
structure from motion, importance sampling, Bayesian methods, stereoscopic vision |
34 | Xiaodong Wang, Rong Chen, Jun S. Liu |
Monte Carlo Bayesian Signal Processing for Wireless Communications. |
J. VLSI Signal Process. |
2002 |
DBLP DOI BibTeX RDF |
|
33 | Jukka Corander, Magnus Ekdahl, Timo Koski |
Parallell interacting MCMC for learning of topologies of graphical models. |
Data Min. Knowl. Discov. |
2008 |
DBLP DOI BibTeX RDF |
Equivalence search, Learning graphical models, MCMC |
30 | Nikolaj Tatti |
Probably the best itemsets. |
KDD |
2010 |
DBLP DOI BibTeX RDF |
bayesian model selection, decomposable models, exponential models, MCMC, junction tree, itemset mining |
30 | Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka |
Mixture models for learning low-dimensional roles in high-dimensional data. |
KDD |
2010 |
DBLP DOI BibTeX RDF |
mixture models, mcmc, high-dimensional data |
30 | John Thomas, Naren Ramakrishnan, Chris Bailey-Kellogg |
Protein Design by Sampling an Undirected Graphical Model of Residue Constraints. |
IEEE ACM Trans. Comput. Biol. Bioinform. |
2009 |
DBLP DOI BibTeX RDF |
residue coupling, Markov chain Monte Carlo (MCMC), graphical models, Protein design |
30 | Benjamin Perret, Vincent Mazet, Christophe Collet 0001, Éric Slezak |
Galaxy Decomposition in Multispectral Images Using Markov Chain Monte Carlo Algorithms. |
SCIA |
2009 |
DBLP DOI BibTeX RDF |
multispectral image processing, galaxy classification, Bayesian inference, MCMC |
30 | Richard J. Boys, Darren J. Wilkinson, Thomas B. L. Kirkwood |
Bayesian inference for a discretely observed stochastic kinetic model. |
Stat. Comput. |
2008 |
DBLP DOI BibTeX RDF |
Biochemical networks, Block updating, Lotka-Volterra model, Markov jump process, MCMC methods, Parameter estimation, Systems biology, Reversible jump |
30 | Loukia Meligkotsidou |
Bayesian multivariate Poisson mixtures with an unknown number of components. |
Stat. Comput. |
2007 |
DBLP DOI BibTeX RDF |
Disease mapping, Multivariate Poisson distribution, Mixture models, Bayesian inference, Reversible jump MCMC |
30 | Zhiguang Shi, Jianxiong Zhou, HongZhong Zhao, Qiang Fu |
Study on joint Bayesian model selection and parameter estimation method of GTD model. |
Sci. China Ser. F Inf. Sci. |
2007 |
DBLP DOI BibTeX RDF |
RJ-MCMC, GTD model, scattering centers, model order selection, CRB, parameter estimation, ESPRIT |
30 | Mathias Ortner, Xavier Descombes, Josiane Zerubia |
Building Outline Extraction from Digital Elevation Models Using Marked Point Processes. |
Int. J. Comput. Vis. |
2007 |
DBLP DOI BibTeX RDF |
inhomogeneous Poisson point process, dense urban area, laser data, land register, RJMCMC, image processing, simulated annealing, MCMC, stochastic geometry, digital elevation models, building detection |
30 | Andrew Golightly, Darren J. Wilkinson |
Bayesian sequential inference for nonlinear multivariate diffusions. |
Stat. Comput. |
2006 |
DBLP DOI BibTeX RDF |
Nonlinear stochastic differential equation, Particle filter, Bayesian inference, MCMC |
30 | Paul Fearnhead |
Exact and efficient Bayesian inference for multiple changepoint problems. |
Stat. Comput. |
2006 |
DBLP DOI BibTeX RDF |
Model choice, Well-log data, Perfect simulation, Forward-backward algorithm, Bayes factor, Reversible jump MCMC |
30 | Craig C. Douglas, Yalchin Efendiev, Richard E. Ewing, Victor Ginting, Raytcho D. Lazarov |
Dynamic Data Driven Simulations in Stochastic Environments. |
Computing |
2006 |
DBLP DOI BibTeX RDF |
porous media flow, DDDAS, uncertainty, MCMC, permeability |
30 | Kevin Smith 0001, Sileye O. Ba, Daniel Gatica-Perez, Jean-Marc Odobez |
Tracking the multi person wandering visual focus of attention. |
ICMI |
2006 |
DBLP DOI BibTeX RDF |
head pose tracking, multi-person tracking, MCMC |
30 | Peter Neal, Gareth Roberts |
A case study in non-centering for data augmentation: Stochastic epidemics. |
Stat. Comput. |
2005 |
DBLP DOI BibTeX RDF |
stochastic epidemic models, bernoulli random graphs, non-centered and partially non-centered MCMC algorithms, data augmentation |
30 | Daniel Gatica-Perez, Guillaume Lathoud, Jean-Marc Odobez, Iain McCowan |
Multimodal multispeaker probabilistic tracking in meetings. |
ICMI |
2005 |
DBLP DOI BibTeX RDF |
audio-visual speaker tracking, particle filters, MCMC |
29 | Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu |
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. |
ICLR |
2022 |
DBLP BibTeX RDF |
|
29 | Masayoshi Takahashi |
Statistical Inference in Missing Data by MCMC and Non-MCMC Multiple Imputation Algorithms: Assessing the Effects of Between-Imputation Iterations. |
Data Sci. J. |
2017 |
DBLP DOI BibTeX RDF |
|
29 | Tianfan Fu, Zhihua Zhang |
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC. |
AISTATS |
2017 |
DBLP BibTeX RDF |
|
29 | Florian Stimberg |
Flexible birth-death MCMC sampler for changepoint models (Flexibler Birth-Death MCMC Sampler für Changepoint-Modelle) |
|
2016 |
RDF |
|
26 | Qingping Tao, Stephen D. Scott 0001 |
Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning. |
Mach. Learn. |
2008 |
DBLP DOI BibTeX RDF |
Markov chain Monte Carlo, DNF, Winnow |
26 | Tom E. Bishop, Rafael Molina 0001, James R. Hopgood |
Blind restoration of blurred photographs via AR modelling and MCMC. |
ICIP |
2008 |
DBLP DOI BibTeX RDF |
|
26 | Jun Yan 0002, Mary Kathryn Cowles, Shaowen Wang, Marc P. Armstrong |
Parallelizing MCMC for Bayesian spatiotemporal geostatistical models. |
Stat. Comput. |
2007 |
DBLP DOI BibTeX RDF |
Parallel computing, Bayesian inference, Markov chain Monte Carlo, Spatial modeling |
26 | Olivier Rabaste, Thierry Chonavel |
Estimation of Multipath Channels With Long Impulse Response at Low SNR via an MCMC Method. |
IEEE Trans. Signal Process. |
2007 |
DBLP DOI BibTeX RDF |
|
26 | Adam Bowen, Andrew Mullins, Roland Wilson, Nasir M. Rajpoot |
Surface Estimation and Tracking using Sequential MCMC Methods for Video Based Rendering. |
ICIP (2) |
2007 |
DBLP DOI BibTeX RDF |
|
26 | Tatsuya Osawa, Xiaojun Wu, Kyoko Sudo, Kaoru Wakabayashi, Hiroyuki Arai, Takayuki Yasuno |
MCMC based multi-body tracking using full 3D model of both target and environment. |
AVSS |
2007 |
DBLP DOI BibTeX RDF |
|
26 | Ayres C. Fan, John W. Fisher III, William M. Wells III, James J. Levitt, Alan S. Willsky |
MCMC Curve Sampling for Image Segmentation. |
MICCAI (2) |
2007 |
DBLP DOI BibTeX RDF |
|
26 | Zia Khan, Tucker R. Balch, Frank Dellaert |
MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2006 |
DBLP DOI BibTeX RDF |
downdating, merged measurements, particle filter, updating, Markov chain Monte Carlo, QR factorization, multitarget tracking, Rao-Blackwellized, linear least squares, laser range scanner |
26 | Despina Kontos, Vasileios Megalooikonomou, Marc J. Sobel, Qiang Wang 0010 |
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data. |
SSPR/SPR |
2004 |
DBLP DOI BibTeX RDF |
|
26 | Mitsuru Kondo, Daigo Muramatsu, Masahiro Sasaki, Takashi Matsumoto 0001 |
A Bayesian MCMC On-line Signature Verification. |
AVBPA |
2003 |
DBLP DOI BibTeX RDF |
|
26 | Petros Dellaportas, Jonathan J. Forster, Ioannis Ntzoufras |
On Bayesian model and variable selection using MCMC. |
Stat. Comput. |
2002 |
DBLP DOI BibTeX RDF |
independence sampler, Gibbs sampler, reversible jump, Metropolis-Hastings |
26 | Mary Kathryn Cowles |
MCMC Sampler Convergence Rates for Hierarchical Normal Linear Models: A Simulation Approach. |
Stat. Comput. |
2002 |
DBLP DOI BibTeX RDF |
agricultural field trials, total variation distance, Bayesian models, Gibbs sampler |
26 | Darren J. Wilkinson, Stephen K. H. Yeung |
Conditional simulation from highly structured Gaussian systems, with application to blocking-MCMC for the Bayesian analysis of very large linear models. |
Stat. Comput. |
2002 |
DBLP DOI BibTeX RDF |
block sampling, linear Bayes models, nested hierarchical random effects, DAG propagation, local computation |
26 | Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla |
A Bayesian Estimation of Building Shape Using MCMC. |
ECCV (2) |
2002 |
DBLP DOI BibTeX RDF |
|
26 | Nicos Angelopoulos, James Cussens |
Prolog Issues and Experimental Results of an MCMC Algorithm. |
INAP (LNCS Volume) |
2001 |
DBLP DOI BibTeX RDF |
|
26 | Paolo Magni, Riccardo Bellazzi, Giuseppe De Nicolao |
Bayesian Function Learning Using MCMC Methods. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1998 |
DBLP DOI BibTeX RDF |
dynamic systems, smoothing, inverse problems, system identification, Bayesian estimation, Markov chain Monte Carlo methods |
23 | Michael A. Chappell, Adrian R. Groves, Brandon J. Whitcher, Mark William Woolrich |
Variational Bayesian Inference for a Nonlinear Forward Model. |
IEEE Trans. Signal Process. |
2009 |
DBLP DOI BibTeX RDF |
|
23 | Shuji Kijima, Tomomi Matsui |
Randomized approximation scheme and perfect sampler for closed Jackson networks with multiple servers. |
Ann. Oper. Res. |
2008 |
DBLP DOI BibTeX RDF |
Fully polynomial-time randomized approximation scheme, Queueing network, Markov chain Monte Carlo, Perfect simulation, Product form solution |
23 | Nicos Angelopoulos, James Cussens |
Bayesian learning of Bayesian networks with informative priors. |
Ann. Math. Artif. Intell. |
2008 |
DBLP DOI BibTeX RDF |
Mathematics Subject Classifications (2000) 68T05, 68T27 |
23 | Kenji Nagata, Sumio Watanabe |
Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines. |
IEEE Trans. Neural Networks |
2008 |
DBLP DOI BibTeX RDF |
|
23 | Sebastian Höhna, Michael Defoin-Platel, Alexei J. Drummond |
Clock-constrained tree proposal operators in Bayesian phylogenetic inference. |
BIBE |
2008 |
DBLP DOI BibTeX RDF |
|
23 | Yu-Chi Lai, Feng Liu 0015, Li Zhang, Charles R. Dyer |
Efficient Schemes for Monte Carlo Markov Chain Algorithms in Global Illumination. |
ISVC (1) |
2008 |
DBLP DOI BibTeX RDF |
|
23 | Thomas Peyret, Kannan Krishnan |
Markov chain Monte Carlo simulation of biomonitoring in humans: application to biomarkers of chronic exposure to alkyl benzenes in the environment. |
SpringSim |
2008 |
DBLP DOI BibTeX RDF |
PBPK modeling, alkyl benzenes, steady-state pharmacokinetics, Markov chain Monte Carlo, Bayesian analysis |
23 | Peter C. Richter |
The Quantum Complexity of Markov Chain Monte Carlo. |
CiE |
2008 |
DBLP DOI BibTeX RDF |
|
23 | Craig K. Abbey, John M. Boone |
An Ideal Observer for a Model of X-Ray Imaging in Breast Parenchymal Tissue. |
Digital Mammography / IWDM |
2008 |
DBLP DOI BibTeX RDF |
Ideal observer, binary texture, breast CT, screening mammography |
23 | Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin |
Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. |
Neural Comput. Appl. |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Øivind Skare, Jesper Møller, Eva Bjørn Vedel Jensen |
Bayesian analysis of spatial point processes in the neighbourhood of Voronoi networks. |
Stat. Comput. |
2007 |
DBLP DOI BibTeX RDF |
Delaunay tessellation, Inhomogeneous point processes, Bayesian inference, Markov chain Monte Carlo, Voronoi tessellation, Poisson process |
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