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Dissociation and Propagation for Approximate Lifted Inference with Standard Relational Database Management Systems [article]

Wolfgang Gatterbauer, Dan Suciu
2016 arXiv   pre-print
This paper proposes an alternative approach for approximate evaluation of conjunctive queries with standard relational databases: In our approach, every query is evaluated entirely in the database engine  ...  Probabilistic inference over large data sets is a challenging data management problem since exact inference is generally #P-hard and is most often solved approximately with sampling-based methods today  ...  We like to thank Abhay Jha for help with the experiments in the workshop version of this paper, Alexandra Meliou for suggesting the name "dissociation", and Vibhav Gogate for guidance in using his tool  ... 
arXiv:1310.6257v4 fatcat:ematfjcsdbavzd7siv3q2bikza

Special issue on best papers of VLDB 2015

Chen Li, Volker Markl
2016 The VLDB journal  
The paper "Dissociation and Propagation for Approximate Lifted Inference with Standard Relational Database Management Systems" by Wolfgang Gatterbauer and Dan Suciu focuses on the approximate evaluation  ...  The authors propose a method for probabilistic inference, where a query is evaluated entirely in the database engine by evaluating a fixed number of query plans, each providing an upper bound on the true  ...  art in data management systems and beyond.  ... 
doi:10.1007/s00778-016-0450-5 fatcat:bs244b7w6fbflnahsx5cctaqfi

Approximate lifted inference with probabilistic databases

Wolfgang Gatterbauer, Dan Suciu
2015 Proceedings of the VLDB Endowment  
This paper proposes a new approach for approximate evaluation of #P-hard queries with probabilistic databases.  ...  We give a detailed experimental evaluation of our approach and, in the process, provide a new way of thinking about the value of probabilistic methods over non-probabilistic methods for ranking query answers  ...  This work was supported in part by NSF grants IIS-0513877, IIS-0713576, IIS-0915054, and IIS-1115188. We thank the reviewers for their careful reading of this manuscript and their detailed feedback.  ... 
doi:10.14778/2735479.2735494 fatcat:safh6aiiwfdlxpitp3bipdxg7y

Approximate Lifted Inference with Probabilistic Databases [article]

Wolfgang Gatterbauer, Dan Suciu
2014 arXiv   pre-print
This paper proposes a new approach for approximate evaluation of #P-hard queries with probabilistic databases.  ...  We give a detailed experimental evaluation of our approach and, in the process, provide a new way of thinking about the value of probabilistic methods over non-probabilistic methods for ranking query answers  ...  This work was supported in part by NSF grants IIS-0513877, IIS-0713576, IIS-0915054, and IIS-1115188. We thank the reviewers for their careful reading of this manuscript and their detailed feedback.  ... 
arXiv:1412.1069v1 fatcat:pqzm45dp5rh6njv5wrybpdj3xq

Query Processing on Probabilistic Data: A Survey

Guy Van den Broeck, Dan Suciu
2017 Foundations and Trends in Databases  
Acknowledgements Acknowledgments Guy Van den Broeck was partially supported by NSF grants IIS-1657613, IIS-1633857 and DARPA XAI grant N66001-17-2-4032.  ...  SlimShot SlimShot was introduced by Gribkoff and Suciu [2016] as a probabilistic database system that combines lifted inference with approximate weighted model counting based on Monte Carlo simulations  ...  Lifted Inference from the Graphical Models Perspective Lifted inference in AI and probabilistic databases share a common goal: to exploit relational structure for speeding up inference.  ... 
doi:10.1561/1900000052 fatcat:jzifdhyvsnh7thqrnuptxbpejy

A framework for machine-learning-augmented multiscale atomistic simulations on parallel supercomputers

Marco Caccin, Zhenwei Li, James R. Kermode, Alessandro De Vita
2015 International Journal of Quantum Chemistry  
Lett. 114(9), 096405 (2015)], discussing how this could be efficiently combined with QM-zone partitioning.  ...  2015) A framework for machine-learning-augmented multiscale atomistic simulations on parallel supercomputers. International Journal of Quantum Chemistry.  ...  This must typically include a database of local configurations for which QM forces are known, an inference scheme to predict forces in new situations, and a rationale for deciding when it is preferable  ... 
doi:10.1002/qua.24952 fatcat:hkr5aoh47beynbqo65isf7ydwq

Probabilistic Databases

Dan Suciu, Dan Olteanu, Christopher Ré, Christoph Koch
2011 Synthesis Lectures on Data Management  
Acknowledgments The authors would like to acknowledge many collaborators and friends who, through their discussions and comments have helped shape our thinking and, thus, have directly or indirectly  ...  Uncertainty in the form of NULL values is part of the SQL standard and supported by most database management systems.  ...  The goal of a probabilistic database system is to be a general platform for managing data with probabilistic semantics.  ... 
doi:10.2200/s00362ed1v01y201105dtm016 fatcat:2bpr73ml4ffkhmnj37mjbmwgsu

Emulation of reionization simulations for Bayesian inference of astrophysics parameters using neural networks

C J Schmit, J R Pritchard
2017 Monthly notices of the Royal Astronomical Society  
However, numerical modelling of the Epoch of Reionization can be prohibitively expensive for Bayesian parameter inference and how to optimally extract information from incoming data is currently unclear  ...  Emulation techniques for fast model evaluations have recently been proposed as a way to bypass costly simulations. We consider the use of artificial neural networks as a blind emulation technique.  ...  ACKNOWLEDGMENTS We would like to thank Benoit Semelin, William Jennings, Alan Heavens, and Conor O'Riordan for their helpful conversations and suggestions.  ... 
doi:10.1093/mnras/stx3292 fatcat:pdwc3ifc5jc5rg5pxuupw4zr4e

A Language for Large-Scale Collaboration in Economics: A Streamlined Computational Representation of Financial Models [article]

Jorge Faleiro
2018 arXiv   pre-print
A computational representation is a domain-specific representation system based on three specific elements: facets, contributions, and constraints of data.  ...  This paper introduces Sigma, a domain-specific computational representation for collaboration in large-scale for the field of economics.  ...  amounts of convoluted and dissociated information.  ... 
arXiv:1809.06471v1 fatcat:lffcbhluhncb3myc6g46mgzqwa

Shuttle entry aerothermodynamic flight research - The Orbiter Experiments program

DAVID A. THROCKMORTON
1993 Journal of Spacecraft and Rockets  
The OEX Project Office was responsible for overall OEX Project management, man- agement and engineering interfaces with the Shuttle Orbiter Project, provision of an OEX data handling/recording system,  ...  The difference between measured and standard model densities, for any given flight and altitude, may be significant (in excess of 50%).  ... 
doi:10.2514/3.25551 fatcat:dfrlsilx4fcclmu42dhq3bsfta

Journal of Geography of Geology, Vol. 1, No. 2, November 2009, all in one file

Editor JGG
2009 Journal of geography and geology  
Many people and companies use the address range of the TIGER files with the geocoding package within a Geographic Information Systems (GIS).  ...  System.  ...  References Ahmadi, R., Mercier, E., Ouali, J., Mansy, J.L., Van-Vliet Lanoe, B., Launeau, P., and Rhekiss, F. (2006). The geomorphological hallmarks of hinges migration in fault related folds.  ... 
doi:10.5539/jgg.v1n2p0 fatcat:qzyuxikrsjhzrn2hwk3iwwel6e

Present State of CFD Softwares Application for Launch Vehicle Analysis
발사체 해석을 위한 CFD 소프트웨어 적용 현황

Hwanghui Jeong, Jae Yeol Kim, Jae-Ryul Shin
2020 Journal of the Korean Society of Propulsion Engineers  
This software program takes an XML representation of the contents of a Hierarchical Data Format-Earth Observing System (HDF-EOS) file and recreates the file from that description .  ...  Please visit the following URL for additional information: http://opensource .gsfc .nasa .gov/projects/xml2he/index .  ...  The tool has been used for strategic planning, employee performance management, and center-wide communication . The system is web-based and uses a relational database to host information . U.S.  ... 
doi:10.6108/kspe.2020.24.3.071 fatcat:trxkhiuqrjakll32bcjxskgwju

Big data challenges for the social sciences: from society and opinion to replications [article]

Dominique Boullier
2016 arXiv   pre-print
Big Data dealing with the social produce predictive correlations for the benefit of brands and web platforms.  ...  Examples from recent works on Twitter and other digital corpora show how the search for structural effects or market-style trade-offs are prevalent even though insights about propagation, virality and  ...  , even for those familiar with large databases such as censuses and registries of any kind (for instance patents databases).  ... 
arXiv:1607.05034v1 fatcat:btzdkt77hzbnvoadlwlux4f45a

CRITICAL HYPERSONIC AEROTHERMODYNAMIC PHENOMENA

John J. Bertin, Russell M. Cummings
2006 Annual Review of Fluid Mechanics  
Figure 1 Knowledge Management Space.  ...  The areas where aerothermodynamic short comings restrict our ability to design and analyze hypersonic vehicles are discussed, and prospects for future capabilities are reviewed.  ...  This is often not possible and it is often necessary to infer predictions from related but not direct measurements."  ... 
doi:10.1146/annurev.fluid.38.050304.092041 fatcat:24kc2p2bubfnxbcjuquuyrxowa

Objective evaluation of vowel pronunciation

Mark J. Bakkum, Reinier Plomp, Louis C. W. Pols
1991 Journal of the Acoustical Society of America  
The nature and severity of the acoustic anomalies correlate well with both sediment physical properties, and the unstable system of collapse and mudflow features that typify the seafloor morphology of  ...  These data provide a means for determining mechanisms for the concentration of methane gas and the formation of gas hydrate.  ...  Plans for the next meetings of ISO/TC43 (in Australia in December 1991 ), and for IEC/TC 29 (in New Zealand, from 25-29 November 1991 } will be discussed.  ... 
doi:10.1121/1.2029328 fatcat:qntsmkrqkjbkpaxn35nuxutuaa
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