Search results for "mcmc"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
23	Ajay Jasra, David A. Stephens, Christopher C. Holmes	On population-based simulation for static inference.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Bayesian mixture models, Markov chain Monte Carlo, Adaptive methods, Sequential Monte Carlo
23	Joni-Kristian Kamarainen, Miroslav Hamouz, Josef Kittler, Pekka Paalanen, Jarmo Ilonen, Alexander Drobchenko	Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features.	ICCV	2007	DBLP DOI BibTeX RDF
23	Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, Kishor S. Trivedi	Variational Bayesian Approach for Interval Estimation of NHPP-Based Software Reliability Models.	DSN	2007	DBLP DOI BibTeX RDF	interval estimation, Software reliability, non-homogeneous Poisson process, variational Bayes
23	Fei Ye, Yan Guo, Andrew Lawson, Jijun Tang	Improving Tree Search in Phylogenetic Reconstruction from Genome Rearrangement Data.	WEA	2007	DBLP DOI BibTeX RDF
23	Nadia Bali, Ali Mohammad-Djafari	A Variational Bayesian Algorithm for BSS Problem with Hidden Gauss-Markov Models for the Sources.	ICA	2007	DBLP DOI BibTeX RDF
23	Kenji Nagata, Sumio Watanabe	Algebraic Geometric Study of Exchange Monte Carlo Method.	ICANN (1)	2007	DBLP DOI BibTeX RDF
23	Kenji Nagata, Sumio Watanabe	Experimental Analysis of Exchange Ratio in Exchange Monte Carlo Method.	ICONIP (2)	2007	DBLP DOI BibTeX RDF
23	Mark William Woolrich, T. E. J. Behrens	Variational bayes inference of spatial mixture models for segmentation.	IEEE Trans. Medical Imaging	2006	DBLP DOI BibTeX RDF
23	Yun Zhai, Mubarak Shah	Video Scene Segmentation Using Markov Chain Monte Carlo.	IEEE Trans. Multim.	2006	DBLP DOI BibTeX RDF
23	Mun Wai Lee, Isaac Cohen	A Model-Based Approach for Estimating Human 3D Poses in Static Images.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	Three-dimensional human pose estimation from static images, body parts detector, data driven Markov chain Monte Carlo, generative models
23	Vitaly Schetinin, Valentina V. Zharkova, Sergei I. Zharkov	Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences.	KES (3)	2006	DBLP DOI BibTeX RDF	Bayesian averaging, solar flare, Machine learning, decision tree, uncertainty, Markov Chain Monte Carlo
23	Tshilidzi Marwala	Bayesian Training of Neural Networks Using Genetic Programming.	IJCNN	2006	DBLP DOI BibTeX RDF
23	Lizheng Jiang, Dongqing Yang, Shiwei Tang, Xiuli Ma, Dehui Zhang	Mining Maximal Correlated Member Clusters in High Dimensional Database.	PAKDD	2006	DBLP DOI BibTeX RDF
23	Jing Tian 0002, Kai-Kuang Ma	Markov Chain Monte Carlo Super-Resolution Image Reconstruction with Simultaneous Adaptation of the Prior Image Model.	PCM	2006	DBLP DOI BibTeX RDF
23	Dilan Görür, Frank Jäkel, Carl Edward Rasmussen	A choice model with infinitely many latent features.	ICML	2006	DBLP DOI BibTeX RDF
23	Yun Zhai, Mubarak Shah	A General Framework for Temporal Video Scene Segmentation.	ICCV	2005	DBLP DOI BibTeX RDF
23	Zia Khan, Tucker R. Balch, Frank Dellaert	Multitarget Tracking with Split and Merged Measurements.	CVPR (1)	2005	DBLP DOI BibTeX RDF
23	Matthew A. Bognar, Mary Kathryn Cowles	Bayesian inference for pairwise interacting point processes.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	pairwise interacting point process, grid-based importance sampling, spatial point pattern, Swedish pine sapling data, Bayesian estimation, Metropolis-Hastings algorithm
23	Matt Whiley, Simon P. Wilson 0001	Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	parallel algorithms, Bayesian inference, Markov chain Monte Carlo, linear algebra, spatial modelling, latent models
23	Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla	Modelling and Interpretation of Architecture from Several Images.	Int. J. Comput. Vis.	2004	DBLP DOI BibTeX RDF	object recognition, architectural modelling, structure and motion
23	Takuya Murakita, Tetsushi Ikeda, Hiroshi Ishiguro	Human Tracking using Floor Sensors based on the Markov Chain Monte Carlo Method.	ICPR (4)	2004	DBLP DOI BibTeX RDF
23	Greg Ridgeway, David Madigan	A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets.	Data Min. Knowl. Discov.	2003	DBLP DOI BibTeX RDF	massive datasets, particle filter, mixture model, Bayesian inference, Markov chain Monte Carlo, importance sampling
23	Anthony N. Pettitt, I. S. Weir, A. G. Hart	A Conditional Autoregressive Gaussian Process for Irregularly Spaced Multivariate Data with Application to Modelling Large Sets of Binary Data.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	conditional autoregression, Markov chain Monte Carlo, spatio-temporal, Bayesian analysis, multivariate data, spatial statistics, binary data
23	Arnaud Doucet, Simon J. Godsill, Christian P. Robert	Marginal maximum a posteriori estimation using Markov chain Monte Carlo.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	simulated annealing, missing data, deconvolution, data augmentation, Bayesian computation
23	Bart Baesens, Michael Egmont-Petersen, Robert Castelo, Jan Vanthienen	Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search.	ICPR (3)	2002	DBLP DOI BibTeX RDF
23	Greg Ridgeway, David Madigan	Bayesian analysis of massive datasets via particle filters.	KDD	2002	DBLP DOI BibTeX RDF
23	Honghua Dai 0001, Gang Li 0009, Yiqing Tu	An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks.	ECML	2002	DBLP DOI BibTeX RDF
23	Georgios A. Stefanou, Simon P. Wilson 0001	Image segmentation using the double Markov random field, with application to land use estimation.	ICIP (1)	2001	DBLP DOI BibTeX RDF
23	Donald L. Simon, Bret Larget	Phylogenetic Inference from Mitochondrial Genome Arrangement Data.	International Conference on Computational Science (2)	2001	DBLP DOI BibTeX RDF
23	Song Chun Zhu, Rong Zhang, Zhuowen Tu	Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo.	CVPR	2000	DBLP DOI BibTeX RDF
19	Wei Yeang Kow, Wei Leong Khong, Farrah Wong, Ismail Saad, Kenneth Tze Kin Teo	Adaptive Tracking of Overlapping Vehicles Via Markov Chain Monte Carlo with CUSUM Path Plot Algorithm.	CICSyN	2011	DBLP DOI BibTeX RDF	Markov Chain Monte Carlo (MCMC), Cumulative Sum (CUSUM) Path Plot
19	Michael D. Linderman, Robert V. Bruggner, Vivek Athalye, Teresa H. Meng, Narges Bani Asadi, Garry P. Nolan	High-throughput Bayesian network learning using heterogeneous multicore computers.	ICS	2010	DBLP DOI BibTeX RDF	Bayesian networks, GPU, MCMC
19	Sergej Sizov	GeoFolk: latent spatial semantics in web 2.0 social media.	WSDM	2010	DBLP DOI BibTeX RDF	geodata, tagging, mcmc, web2.0, bayesian learning
19	Cinzia Viroli	Bayesian inference in non-Gaussian factor analysis.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Independent factor analysis, Model selection criteria, Factor analysis, Reversible jump MCMC
19	Vincent Mazet, Christophe Collet 0001, Bernd Vollmer	Decomposition and Classification of Spectral Lines in Astronomical Radio Data Cubes.	SCIA	2009	DBLP DOI BibTeX RDF	spectrum decomposition, multicomponent image, spiral galaxy NGC 4254, Bayesian inference, MCMC
19	Fabio Martinelli, Alistair Sinclair	Mixing time for the solid-on-solid model.	STOC	2009	DBLP DOI BibTeX RDF	glauber dynamics, markov chain monte carlo (mcmc), mixing time, ising model, statistical physics
19	Mathias Ortner, Xavier Descombes, Josiane Zerubia	A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	dense urban area, land register, RJMCMC, Image processing, simulated annealing, MCMC, stochastic geometry, Poisson point process, Digital Elevation Models, building detection
19	Daniel David Walker, Eric K. Ringger	Model-based document clustering with a collapsed gibbs sampler.	KDD	2008	DBLP DOI BibTeX RDF	collapsed samplers, practical guidelines, document clustering, mcmc, em, gibbs sampling
19	David C. Wheeler, Catherine A. Calder	An assessment of coefficient accuracy in linear regression models with spatially varying coefficients.	J. Geogr. Syst.	2007	DBLP DOI BibTeX RDF	Bayesian regression, Geographically weighted regression, Collinearity, MCMC, Simulation study, Spatial statistics
19	Sourabh Bhattacharya, Alan E. Gelfand, Kent E. Holsinger	Model fitting and inference under latent equilibrium processes.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Allele, Migration, Mutation, MCMC, Bayesian hierarchical model
19	Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J. Gibson	Bayesian Analysis of Lidar Signals with Multiple Returns.	IEEE Trans. Pattern Anal. Mach. Intell.	2007	DBLP DOI BibTeX RDF	burst illumination laser, delayed rejection, photon counting, 3D reconstruction, Lidar, reversible jump MCMC
19	Thomas P. Hayes, Juan Carlos Vera 0001, Eric Vigoda	Randomly coloring planar graphs with fewer colors than the maximum degree.	STOC	2007	DBLP DOI BibTeX RDF	Markov chain Monte Carlo (MCMC), graph coloring, planar graphs, coupling
19	Ru-Xin Gao, Tianfu Wu 0001, Song Chun Zhu, Nong Sang	Bayesian Inference for Layer Representation with Mixed Markov Random Field.	EMMCVPR	2007	DBLP DOI BibTeX RDF	2.1D Sketch, Contour Completion, Mixed Markov Field, Swendsen-Wang Cut, Bayesian Inference, MCMC, Layer Representation
19	Jo Eidsvik, Håkon Tjelmeland	On directional Metropolis-Hastings algorithms.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Adaptive direction sampling, Angular Gaussian distribution, Seismic inversion, Markov Chain Monte Carlo, Auxiliary variables, Reversible jump MCMC, Metropolis-Hastings
19	Samer A. Abdallah, Mark B. Sandler, Christophe Rhodes, Michael A. Casey	Using duration models to reduce fragmentation in audio segmentation.	Mach. Learn.	2006	DBLP DOI BibTeX RDF	Duration prior, Wolff algorithm, Segmentation, MCMC, Gibbs sampling
19	Marko Salmenkivi, Heikki Mannila	Using Markov chain Monte Carlo and dynamic programming for event sequence data.	Knowl. Inf. Syst.	2005	DBLP DOI BibTeX RDF	Data mining, Dynamic programming, MCMC, Event sequence
19	Ben Morris	The mixing time of the Thorp shuffle.	STOC	2005	DBLP DOI BibTeX RDF	Markov chain, MCMC, mixing time, martingale
19	Tsung-I Lin, Jack C. Lee, Huey F. Ni	Bayesian analysis of mixture modelling using the multivariate t distribution.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	t mixture model, maximum likelihood estimation, MCMC, maximum a posteriori, ECM, ECME
19	Paul Fearnhead	Particle filters for mixture models with an unknown number of components.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	particle filters, Gaussian mixture models, MCMC, Gibbs sampling, Dirichlet process
19	Radu Stoica, Xavier Descombes, Josiane Zerubia	A Gibbs Point Process for Road Extraction from Remotely Sensed Images.	Int. J. Comput. Vis.	2004	DBLP DOI BibTeX RDF	Gibbs point processes, Candy model, reversible jump MCMC dynamics, aerial and satellite images, hypothesis tests, road extraction
19	Edoardo M. Airoldi, Christos Faloutsos	Recovering latent time-series from their observed sums: network tomography with particle filters.	KDD	2004	DBLP DOI BibTeX RDF	informative priors, link loads, origin-destination traffic flows, self-organizing Bayesian dynamical system, particle filter, MCMC, empirical bayes
19	Ben Morris, Yuval Peres	Evolving sets and mixin.	STOC	2003	DBLP DOI BibTeX RDF	Markov chain, MCMC, conductance, mixing time, martingale
14	Hossein Kavianihamedani, Julianne D. Quinn, Jared D. Smith	New Diagnostic Assessment of MCMC Algorithm Effectiveness, Efficiency, Reliability, and Controllability.	IEEE Access	2024	DBLP DOI BibTeX RDF
14	Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh	Online MCMC Thinning with Kernelized Stein Discrepancy.	SIAM J. Math. Data Sci.	2024	DBLP DOI BibTeX RDF
14	Ritwik Bhattacharya, Narayanaswamy Balakrishnan 0001	A MCMC-type simple probabilistic approach for determining optimal progressive censoring schemes.	Commun. Stat. Simul. Comput.	2024	DBLP DOI BibTeX RDF
14	Nhat Minh Nguyen, Minh-Ngoc Tran, Rohitash Chandra	Sequential reversible jump MCMC for dynamic Bayesian neural networks.	Neurocomputing	2024	DBLP DOI BibTeX RDF
14	Alexandre Bouchard-Côté, Trevor Campbell, Geoff Pleiss, Nikola Surjanovic	MCMC-driven learning.	CoRR	2024	DBLP DOI BibTeX RDF
14	Zeji Yi, Yunyue Wei, Chu Xin Cheng, Kaibo He, Yanan Sui	Improving sample efficiency of high dimensional Bayesian optimization with MCMC.	CoRR	2024	DBLP DOI BibTeX RDF
14	Julian Hofstadler	On the optimality of MCMC integration for functions with unbounded second moment.	CoRR	2024	DBLP DOI BibTeX RDF
14	Sikun Yang, Heinz Koeppl	Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC.	CoRR	2024	DBLP DOI BibTeX RDF
14	Xiang Cheng, Jingzhao Zhang, Suvrit Sra	Efficient Sampling on Riemannian Manifolds via Langevin MCMC.	CoRR	2024	DBLP DOI BibTeX RDF
14	Jiho Hong, Sangwoo Kang 0001, Mikyoung Lim	Monostatic imaging of an extended target with MCMC sampling.	CoRR	2024	DBLP DOI BibTeX RDF
14	Robert G. Kimelman	MCMChaos: Improvising Rap Music with MCMC Methods and Chaos Theory.	CoRR	2024	DBLP DOI BibTeX RDF
14	Samuel Gruffaz, Kyurae Kim, Alain Oliviero Durmus, Jacob R. Gardner	Stochastic Approximation with Biased MCMC for Expectation Maximization.	CoRR	2024	DBLP DOI BibTeX RDF
14	Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah	Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model.	CoRR	2024	DBLP DOI BibTeX RDF
14	Yoonseong Kang, Wan Choi 0001	MCMC Sampling-Based Randomized Likelihood Decoding for Sparse Recovery.	IEEE Trans. Commun.	2024	DBLP DOI BibTeX RDF
14	Rohan Sawhney, Daqi Lin, Markus Kettunen, Benedikt Bitterli, Ravi Ramamoorthi, Chris Wyman, Matt Pharr	Decorrelating ReSTIR Samplers via MCMC Mutations.	ACM Trans. Graph.	2024	DBLP DOI BibTeX RDF
14	Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin	Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya.	Epi UAI	2024	DBLP DOI BibTeX RDF
14	Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah	Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model.	PAKDD (1)	2024	DBLP DOI BibTeX RDF
14	Samuel Gruffaz, Kyurae Kim, Alain Durmus, Jacob Gardner	Stochastic Approximation with Biased MCMC for Expectation Maximization.	AISTATS	2024	DBLP BibTeX RDF
14	Liwei Wang, Xinru Liu, Aaron Smith, Aguemon Y. Atchadé	On cyclical MCMC sampling.	AISTATS	2024	DBLP BibTeX RDF
14	Tianze Wang, Guanyang Wang	Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC.	J. Mach. Learn. Res.	2023	DBLP BibTeX RDF
14	Jeremie Coullon, Leah F. South, Christopher Nemeth	Efficient and generalizable tuning strategies for stochastic gradient MCMC.	Stat. Comput.	2023	DBLP DOI BibTeX RDF
14	Achraf Makhloufi, Abdelaziz Kallel	Inversion of a New Designed ANN-Based 3-D-RTM Emulator by Continuous MCMC Technique to Monitor Crop Biophysical Properties Using Sentinel-2 Images.	IEEE Trans. Geosci. Remote. Sens.	2023	DBLP DOI BibTeX RDF
14	Cheng-en Li, Jian-hua Shi	MCMC interweaving strategy for estimating stochastic volatility model and its application.	Commun. Stat. Simul. Comput.	2023	DBLP DOI BibTeX RDF
14	Eleni Vlachou, Christos N. Karras, Aristeidis Karras, Dimitrios Tsolis, Spyros Sioutas	EVCA Classifier: A MCMC-Based Classifier for Analyzing High-Dimensional Big Data.	Inf.	2023	DBLP DOI BibTeX RDF
14	The Tien Mai	An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography.	Comput. Stat.	2023	DBLP DOI BibTeX RDF
14	Mikkel Bue Lykkegaard, Tim J. Dodwell, Colin Fox, G. Mingas, Robert Scheichl	Multilevel Delayed Acceptance MCMC.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
14	George Bai, Rohitash Chandra	Gradient boosting Bayesian neural networks via Langevin MCMC.	Neurocomputing	2023	DBLP DOI BibTeX RDF
14	Daniel Ries, Jason Adams, Joshua Zollweg	Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
14	Baris Alparslan, Sinan Yildirim, S. Ilker Birbil	Differentially Private Distributed Bayesian Linear Regression with MCMC.	CoRR	2023	DBLP DOI BibTeX RDF
14	Xiang Cheng, Bohan Wang, Jingzhao Zhang, Yusong Zhu	Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions.	CoRR	2023	DBLP DOI BibTeX RDF
14	Rohitash Chandra, Royce Chen, Joshua Simmons	Bayesian neural networks via MCMC: a Python-based tutorial.	CoRR	2023	DBLP DOI BibTeX RDF
14	Marcel Hirt, Vasileios Kreouzis, Petros Dellaportas	Learning variational autoencoders via MCMC speed measures.	CoRR	2023	DBLP DOI BibTeX RDF
14	Tim Johnston, Iosif Lytras, Sotirios Sabanis	Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity - the Strongly Convex Case.	CoRR	2023	DBLP DOI BibTeX RDF
14	Yifu Han, François P. Hamon, Su Jiang, Louis J. Durlofsky	Surrogate Model for Geological CO2 Storage and Its Use in MCMC-based History Matching.	CoRR	2023	DBLP DOI BibTeX RDF
14	Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin	Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya.	CoRR	2023	DBLP DOI BibTeX RDF
14	Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu	Learning Energy-Based Prior Model with Diffusion-Amortized MCMC.	CoRR	2023	DBLP DOI BibTeX RDF
14	Andreas Bott, Tim Janke, Florian Steinke	Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids.	CoRR	2023	DBLP DOI BibTeX RDF
14	Michael Plainer, Hannes Stärk, Charlotte Bunne, Stephan Günnemann	Transition Path Sampling with Boltzmann Generator-based MCMC Moves.	CoRR	2023	DBLP DOI BibTeX RDF
14	Bolian Li, Ruqi Zhang	Entropy-MCMC: Sampling from Flat Basins with Ease.	CoRR	2023	DBLP DOI BibTeX RDF
14	Juntao Yang	Hybrid two-level MCMC for Bayesian Inverse Problems.	CoRR	2023	DBLP DOI BibTeX RDF
14	Jiali Cui, Tian Han 0001	Learning Energy-based Model via Dual-MCMC Teaching.	CoRR	2023	DBLP DOI BibTeX RDF
14	Adrien Corenflos, Simo Särkkä	Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems.	CoRR	2023	DBLP DOI BibTeX RDF
14	Gang Chen	Speed up the inference of diffusion models via shortcut MCMC sampling.	CoRR	2023	DBLP DOI BibTeX RDF
14	Yingyu Lin, Yian Ma, Yu-Xiang Wang 0003, Rachel Redberg	Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy.	CoRR	2023	DBLP DOI BibTeX RDF
14	Masoumeh Javanbakhat, Christoph Lippert	A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC.	CoRR	2023	DBLP DOI BibTeX RDF
14	Anders Sjöberg, Jakob Lindqvist, Magnus Önnheim, Mats Jirstrand, Lennart Svensson	MCMC-Correction of Score-Based Diffusion Models for Model Composition.	CoRR	2023	DBLP DOI BibTeX RDF
14	Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer	Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.	CoRR	2023	DBLP DOI BibTeX RDF
14	Elizaveta Semenova, Max Cairney-Leeming, Seth R. Flaxman	PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling.	CoRR	2023	DBLP DOI BibTeX RDF