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Searching for phrase Approximate inference (changed automatically) with no syntactic query expansion in all metadata.

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1986-1998 (15) 1999-2002 (17) 2003-2004 (23) 2005 (17) 2006 (19) 2007 (18) 2008 (28) 2009 (23) 2010 (18) 2011-2012 (31) 2013 (20) 2014-2015 (20) 2016-2017 (22) 2018 (23) 2019 (13)
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article(116) inproceedings(179) phdthesis(12)
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The graphs summarize 94 occurrences of 76 keywords

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Found 307 publication records. Showing 307 according to the selection in the facets
Hits ? Authors Title Venue Year Link Author keywords
50Hongwei Zhang, Fengzhan Tian, Yuchang Lu A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks. Search on Bibsonomy IDA The full citation details ... 2001 DBLP  DOI  BibTeX  RDF Multiply sectioned Bayesian network, Bayesian inference
48Le Chang, Alan K. Mackworth Constraint-Based Inference: A Bridge Between Constraint Processing and Probability Inference. Search on Bibsonomy CP The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
39Onno Zoeter, Tom Heskes Deterministic approximate inference techniques for conditionally Gaussian state space models. Search on Bibsonomy Statistics and Computing The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Conditionally Gaussian state space models, Switching linear dynamical systems, Expectation propagation, Assumed density filtering, State space models, Approximate inference
38Jason K. Johnson, Alan S. Willsky A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields. Search on Bibsonomy IEEE Trans. Image Processing The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
34Chris Mayfield, Jennifer Neville, Sunil Prabhakar ERACER: a database approach for statistical inference and data cleaning. Search on Bibsonomy SIGMOD Conference The full citation details ... 2010 DBLP  DOI  BibTeX  RDF discrete convolution, relational dependency network, outlier detection, linear regression, approximate inference
33Jerod J. Weinman, Lam C. Tran, Christopher J. Pal Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing. Search on Bibsonomy ECCV (1) The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
27Thoralf Klein, Ulf Brefeld, Tobias Scheffer Exact and Approximate Inference for Annotating Graphs with Structural SVMs. Search on Bibsonomy ECML/PKDD (1) The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
26Limin Yao, David M. Mimno, Andrew McCallum Efficient methods for topic model inference on streaming document collections. Search on Bibsonomy KDD The full citation details ... 2009 DBLP  DOI  BibTeX  RDF inference, topic modeling
26Jennifer Neville, David D. Jensen A bias/variance decomposition for models using collective inference. Search on Bibsonomy Machine Learning The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Evaluation, Statistical relational learning, Collective inference
26Jennifer Neville, David D. Jensen Bias/Variance Analysis for Relational Domains. Search on Bibsonomy ILP The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
26Aditya Ghose, Randy Goebel Anytime Default Inference. Search on Bibsonomy PRICAI The full citation details ... 1996 DBLP  DOI  BibTeX  RDF
25JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang Latent-Space Variational Bayes. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
23Marc Toussaint Robot trajectory optimization using approximate inference. Search on Bibsonomy ICML The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
23Max Welling, Michal Rosen-Zvi, Yee Whye Teh Approximate inference by Markov chains on union spaces. Search on Bibsonomy ICML The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
22Jinlin Yang, David Evans 0001, Deepali Bhardwaj, Thirumalesh Bhat, Manuvir Das Perracotta: mining temporal API rules from imperfect traces. Search on Bibsonomy ICSE The full citation details ... 2006 DBLP  DOI  BibTeX  RDF dynamic analysis, temporal properties, specification inference
22Arasanathan Thayananthan, Masahiro Iwasaki, Roberto Cipolla Principled fusion of high-level model and low-level cues for motion segmentation. Search on Bibsonomy CVPR The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
21David M. Blei, Michael I. Jordan Variational methods for the Dirichlet process. Search on Bibsonomy ICML The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
20Tobias Lang 0001, Marc Toussaint Approximate inference for planning in stochastic relational worlds. Search on Bibsonomy ICML The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
20Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Murphy A novel approximate inference approach to automated classification of protein subcellular location patterns in multi-cell images. Search on Bibsonomy ISBI The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
20Manfred Opper, Ole Winther Approximate Inference in Probabilistic Models. Search on Bibsonomy ALT The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
19Kun Yue, Mu-Jin Wei, Kai-Lin Tian, Wei-Yi Liu Representing and Inferring Causalities among Classes of Multidimensional Data. Search on Bibsonomy APWeb/WAIM The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Multidimensional random variable, Classification, Bayesian network, Class, Approximate inference
19Zhiqing Li, Lu Cheng, Xuesong Qiu, Li Wu Fault Diagnosis for High-Level Applications Based on Dynamic Bayesian Network. Search on Bibsonomy APNOMS The full citation details ... 2009 DBLP  DOI  BibTeX  RDF fault diagnosis, dynamic Bayesian network, noisy environment, approximate inference
19Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri New closed-form bounds on the partition function. Search on Bibsonomy Machine Learning The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Associative potential, Graphical model, Variational methods, Belief propagation, Partition function, Approximate inference
19Oswald Lanz Approximate Bayesian Multibody Tracking. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2006 DBLP  DOI  BibTeX  RDF Bayes filter, Computer vision, tracking, particle filter, occlusion, approximate inference
19Onno Zoeter, Tom Heskes Hierarchical Visualization of Time-Series Data Using Switching Linear Dynamical Systems. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2003 DBLP  DOI  BibTeX  RDF switching linear dynamical systems, principal component analysis, time-series, Data visualization, latent variables, approximate inference
18Prithviraj Sen, Amol Deshpande, Lise Getoor PrDB: managing and exploiting rich correlations in probabilistic databases. Search on Bibsonomy VLDB J. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Lifted inference, Query processing, Graphical models, Bisimulation, Probabilistic databases, Uncertain databases
18Ole-Christoffer Granmo Parallel hypothesis driven video content analysis. Search on Bibsonomy SAC The full citation details ... 2004 DBLP  DOI  BibTeX  RDF real-time video content analysis, parallel processing, feature selection, Bayesian Networks, particle filtering
18Ryan Prescott Adams, Oliver Stegle Gaussian process product models for nonparametric nonstationarity. Search on Bibsonomy ICML The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
15Alberto Giovanni Busetto, Joachim M. Buhmann Stable Bayesian Parameter Estimation for Biological Dynamical Systems. Search on Bibsonomy CSE (1) The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
15Niels Landwehr Modeling interleaved hidden processes. Search on Bibsonomy ICML The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
15Martin Neil, Manesh Tailor, David Marquez Inference in hybrid Bayesian networks using dynamic discretization. Search on Bibsonomy Statistics and Computing The full citation details ... 2007 DBLP  DOI  BibTeX  RDF Bayesian software, Dynamic discretization, Bayesian networks, Expert systems, Statistical inference, Reasoning under uncertainty, Propagation algorithms
15Li Cheng 0001, Feng Jiao, Dale Schuurmans, Shaojun Wang Variational Bayesian image modelling. Search on Bibsonomy ICML The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
15Onno Zoeter, Tom Heskes Multi-scale Switching Linear Dynamical Systems. Search on Bibsonomy ICANN The full citation details ... 2003 DBLP  DOI  BibTeX  RDF
15Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models. Search on Bibsonomy HSCC The full citation details ... 2000 DBLP  DOI  BibTeX  RDF
15Brendan J. Frey Filling In Scenes by Propagating Probabilities through Layers and Into Appearance Models. Search on Bibsonomy CVPR The full citation details ... 2000 DBLP  DOI  BibTeX  RDF
14Ruslan Salakhutdinov, Iain Murray 0001 On the quantitative analysis of deep belief networks. Search on Bibsonomy ICML The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
14Peter Carbonetto, Nando de Freitas, Kobus Barnard A Statistical Model for General Contextual Object Recognition. Search on Bibsonomy ECCV (1) The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
14Milind R. Naphade, Lawrence S. Chen, Thomas S. Huang, Brendan J. Frey Learning Sparse Multiple Cause Models. Search on Bibsonomy ICPR The full citation details ... 2000 DBLP  DOI  BibTeX  RDF
14Chao Wang, Srinivasan Parthasarathy 0001 Learning Approximate MRFs from Large Transaction Data. Search on Bibsonomy PKDD The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
13My Phan, Yasin Abbasi-Yadkori, Justin Domke Thompson Sampling and Approximate Inference. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
13Mohammad Emtiyaz Khan, Alexander Immer, Ehsan Abedi, Maciej Korzepa Approximate Inference Turns Deep Networks into Gaussian Processes. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
13Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin Spectral Approximate Inference. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
13Prathosh A. P., Varun Srivastava, Mayank Mishra Adversarial Approximate Inference for Speech to Electroglottograph Conversion. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
13Lifu Tu, Kevin Gimpel Benchmarking Approximate Inference Methods for Neural Structured Prediction. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
13Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas Approximate Inference in Structured Instances with Noisy Categorical Observations. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
13Lei Yu, Tianyu Yang, Antoni B. Chan Density-Preserving Hierarchical EM Algorithm: Simplifying Gaussian Mixture Models for Approximate Inference. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2019 DBLP  DOI  BibTeX  RDF
13Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas Approximate Inference in Structured Instances with Noisy Categorical Observations. Search on Bibsonomy UAI The full citation details ... 2019 DBLP  BibTeX  RDF
13Lifu Tu, Kevin Gimpel Benchmarking Approximate Inference Methods for Neural Structured Prediction. Search on Bibsonomy NAACL-HLT (1) The full citation details ... 2019 DBLP  BibTeX  RDF
13Supun Nakandala, Arun Kumar, Yannis Papakonstantinou Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations. Search on Bibsonomy SIGMOD Conference The full citation details ... 2019 DBLP  DOI  BibTeX  RDF
13Qi Lou, Rina Dechter, Alexander T. Ihler Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms. Search on Bibsonomy AAAI The full citation details ... 2019 DBLP  BibTeX  RDF
13Batya Kenig, Benny Kimelfeld Approximate Inference of Outcomes in Probabilistic Elections. Search on Bibsonomy AAAI The full citation details ... 2019 DBLP  BibTeX  RDF
13Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin Spectral Approximate Inference. Search on Bibsonomy ICML The full citation details ... 2019 DBLP  BibTeX  RDF
13Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference. Search on Bibsonomy IEEE Trans. Vehicular Technology The full citation details ... 2018 DBLP  DOI  BibTeX  RDF
13Chenzhao Li, Sankaran Mahadevan Efficient approximate inference in Bayesian networks with continuous variables. Search on Bibsonomy Rel. Eng. & Sys. Safety The full citation details ... 2018 DBLP  DOI  BibTeX  RDF
13Thomas Thorne Approximate inference of gene regulatory network models from RNA-Seq time series data. Search on Bibsonomy BMC Bioinformatics The full citation details ... 2018 DBLP  DOI  BibTeX  RDF
13Johan Kwisthout Approximate inference in Bayesian networks: Parameterized complexity results. Search on Bibsonomy Int. J. Approx. Reasoning The full citation details ... 2018 DBLP  DOI  BibTeX  RDF
13Jung-Su Ha, Hyeok-Joo Chae, Han-Lim Choi Approximate Inference-Based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models. Search on Bibsonomy IEEE Robotics and Automation Letters The full citation details ... 2018 DBLP  DOI  BibTeX  RDF
13Burak Çakmak, Manfred Opper Expectation Propagation for Approximate Inference: Free Probability Framework. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
13Adam D. Cobb, Stephen J. Roberts, Yarin Gal Loss-Calibrated Approximate Inference in Bayesian Neural Networks. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
13Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
13Lifu Tu, Kevin Gimpel Learning Approximate Inference Networks for Structured Prediction. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
13Daniel J. Tait, Bruce J. Worton Approximate Inference for Multiplicative Latent Force Models. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
13Charlie Frogner, Tomaso A. Poggio Approximate inference with Wasserstein gradient flows. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
13Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
13Jeffrey Regier, Andrew C. Miller, David Schlegel, Ryan P. Adams, Jon D. McAuliffe, Prabhat Approximate Inference for Constructing Astronomical Catalogs from Images. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
13Jonathan Kuck, Ashish Sabharwal, Stefano Ermon Approximate Inference via Weighted Rademacher Complexity. Search on Bibsonomy CoRR The full citation details ... 2018 DBLP  BibTeX  RDF
13Ferdinando Fioretto, Enrico Pontelli, William Yeoh 0001, Rina Dechter Accelerating exact and approximate inference for (distributed) discrete optimization with GPUs. Search on Bibsonomy Constraints The full citation details ... 2018 DBLP  DOI  BibTeX  RDF
13Burak Çakmak, Manfred Opper Expectation Propagation for Approximate Inference: Free Probability Framework. Search on Bibsonomy ISIT The full citation details ... 2018 DBLP  DOI  BibTeX  RDF
13Jonathan Kuck, Ashish Sabharwal, Stefano Ermon Approximate Inference via Weighted Rademacher Complexity. Search on Bibsonomy AAAI The full citation details ... 2018 DBLP  BibTeX  RDF
13Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. Search on Bibsonomy ISLPED The full citation details ... 2018 DBLP  DOI  BibTeX  RDF
13Lifu Tu, Kevin Gimpel Learning Approximate Inference Networks for Structured Prediction. Search on Bibsonomy ICLR (Poster) The full citation details ... 2018 DBLP  BibTeX  RDF
13Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin Bucket Renormalization for Approximate Inference. Search on Bibsonomy ICML The full citation details ... 2018 DBLP  BibTeX  RDF
13Hunter Lang, David Sontag, Aravindan Vijayaraghavan Optimality of Approximate Inference Algorithms on Stable Instances. Search on Bibsonomy AISTATS The full citation details ... 2018 DBLP  BibTeX  RDF
13Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller Gauged Mini-Bucket Elimination for Approximate Inference. Search on Bibsonomy AISTATS The full citation details ... 2018 DBLP  BibTeX  RDF
13Qi Lou Anytime Approximate Inference in Graphical Models. Search on Bibsonomy 2018   RDF
13Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu Efficient Attack Graph Analysis through Approximate Inference. Search on Bibsonomy ACM Trans. Priv. Secur. The full citation details ... 2017 DBLP  DOI  BibTeX  RDF
13Jung-Su Ha, Hyeok-Joo Chae, Han-Lim Choi High-dimensional Motion Planning using Latent Variable Models via Approximate Inference. Search on Bibsonomy CoRR The full citation details ... 2017 DBLP  BibTeX  RDF
13Yingzhen Li, Richard E. Turner, Qiang Liu Approximate Inference with Amortised MCMC. Search on Bibsonomy CoRR The full citation details ... 2017 DBLP  BibTeX  RDF
13Christian Donner, Klaus Obermayer, Hideaki Shimazaki Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations. Search on Bibsonomy PLoS Computational Biology The full citation details ... 2017 DBLP  DOI  BibTeX  RDF
13Junyao Zhao, Josip Djolonga, Sebastian Tschiatschek, Andreas Krause 0001 Improving Optimization-Based Approximate Inference by Clamping Variables. Search on Bibsonomy UAI The full citation details ... 2017 DBLP  BibTeX  RDF
13Sebastian Vogel, Andre Guntoro, Gerd Ascheid Efficient hardware acceleration for approximate inference of bitwise deep neural networks. Search on Bibsonomy DASIP The full citation details ... 2017 DBLP  DOI  BibTeX  RDF
13Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang 0001, Xuanjing Huang A Learning Error Analysis for Structured Prediction with Approximate Inference. Search on Bibsonomy NIPS The full citation details ... 2017 DBLP  BibTeX  RDF
13Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo Information Projection and Approximate Inference for Structured Sparse Variables. Search on Bibsonomy AISTATS The full citation details ... 2017 DBLP  BibTeX  RDF
13Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo Information Projection and Approximate Inference for Structured Sparse Variables. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
13Adji B. Dieng, Dustin Tran, Rajesh Ranganath, John W. Paisley, David M. Blei The $χ$-Divergence for Approximate Inference. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
13Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
13Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter Expectation Consistent Approximate Inference: Generalizations and Convergence. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
13Ferdinando Fioretto, Enrico Pontelli, William Yeoh 0001, Rina Dechter Accelerating Exact and Approximate Inference for (Distributed) Discrete Optimization with GPUs. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
13Marco F. Cusumano-Towner, Vikash K. Mansinghka Encapsulating models and approximate inference programs in probabilistic modules. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
13Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu Efficient Attack Graph Analysis through Approximate Inference. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
13Alyson K. Fletcher Learning and Free Energy in Expectation Consistent Approximate Inference. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
13Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier Approximate Inference in Related Multi-output Gaussian Process Regression. Search on Bibsonomy ICPRAM (Revised Selected Papers) The full citation details ... 2016 DBLP  DOI  BibTeX  RDF
13Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter Expectation consistent approximate inference: Generalizations and convergence. Search on Bibsonomy ISIT The full citation details ... 2016 DBLP  DOI  BibTeX  RDF
13Johan Kwisthout The Parameterized Complexity of Approximate Inference in Bayesian Networks. Search on Bibsonomy Probabilistic Graphical Models The full citation details ... 2016 DBLP  BibTeX  RDF
13Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau, Daniel Sheldon Approximate Inference Using DC Programming For Collective Graphical Models. Search on Bibsonomy AISTATS The full citation details ... 2016 DBLP  BibTeX  RDF
13Christian Donner, Hideaki Shimazaki Approximate Inference Method for Dynamic Interactions in Larger Neural Populations. Search on Bibsonomy ICONIP (3) The full citation details ... 2016 DBLP  DOI  BibTeX  RDF
13Emine Busra Celikkaya Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications. Search on Bibsonomy 2016   RDF
13James Hensman, Panagiotis Papastamoulis, Peter Glaus, Antti Honkela, Magnus Rattray Fast and accurate approximate inference of transcript expression from RNA-seq data. Search on Bibsonomy Bioinformatics The full citation details ... 2015 DBLP  DOI  BibTeX  RDF
13Nathalie Peyrard, Simon de Givry, Alain Franc, Stéphane Robin, Régis Sabbadin, Thomas Schiex, Matthieu Vignes Exact and approximate inference in graphical models: variable elimination and beyond. Search on Bibsonomy CoRR The full citation details ... 2015 DBLP  BibTeX  RDF
13Guillaume Bouchard, Balaji Lakshminarayanan Approximate Inference with the Variational Holder Bound. Search on Bibsonomy CoRR The full citation details ... 2015 DBLP  BibTeX  RDF
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