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Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE)

Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang
2022 Physical Review Research  
We propose the symbolic genetic algorithm to discover open-form PDEs (SGA-PDE) directly from data without prior knowledge about the equation structure.  ...  In the experiment, SGA-PDE not only successfully discovered the nonlinear Burgers' equation, the Korteweg-de Vries equation, and the Chafee-Infante equation but also handled PDEs with fractional structure  ...  Diagram of the best binary trees in each generation in the evolution process of the symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE).  ... 
doi:10.1103/physrevresearch.4.023174 fatcat:ijzamr53ebb3liemcws5tdbvlq

Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE) [article]

Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang
2021 arXiv   pre-print
We propose the symbolic genetic algorithm (SGA-PDE) to discover open-form PDEs directly from data without prior knowledge about the equation structure.  ...  In the experiment, SGA-PDE not only successfully discovered nonlinear Burgers' equation, Korteweg-de Vries (KdV) equation, and Chafee-Infante equation, but also handled PDEs with fractional structure and  ...  Acknowledgements This work is partially funded by the Shenzhen Key Laboratory of Natural Gas Hydrates (Grant No.  ... 
arXiv:2106.11927v1 fatcat:3b77fga6anfdhb5jnupln3ymau

Discovery of Causal Rules Using Partial Association

Zhou Jin, Jiuyong Li, Lin Liu, Thuc Duy Le, Bingyu Sun, Rujing Wang
2012 2012 IEEE 12th International Conference on Data Mining  
Discovering causal relationships in large databases of observational data is challenging.  ...  In this paper, we propose an approach to mine causal rules in large databases of binary variables.  ...  In order to discover the causal rules included in the positive association rules of the predictive variables and the outcome variable in large data sets, we transplant the Mantel-Haenszel test to compute  ... 
doi:10.1109/icdm.2012.36 dblp:conf/icdm/JinL0LSW12 fatcat:iajmki3nvfbjzfizn4g7xz3oky

On the Discovery of Weak Periodicities in Large Time Series [chapter]

Christos Berberidis, Ioannis Vlahavas, Walid G. Aref, Mikhail Atallah, Ahmed K. Elmagarmid
2002 Lecture Notes in Computer Science  
Given the fact that rarely a real world dataset is perfectly periodic, this paper approaches this problem in terms of data mining, trying to discover approximate and partial periodicities, when no period  ...  We utilize the autocorrelation function in order to extract partial periodicities from large time series. In existing time series mining algorithms, the period length is user-specified.  ...  In section 3 we outline the steps of the algorithm we propose for discovering partial periodicities and we explain how it works in detail.  ... 
doi:10.1007/3-540-45681-3_5 fatcat:wubdwimevjcy5bz32cmsgfczu4

Discovery of four W UMa type eclipsing binaries in the field of open cluster ASCC 5

Xiang-Song Fang, Sheng-Hong Gu, Li-Yun Zhang, Qing-Feng Pi
2013 Research in Astronomy and Astrophysics  
In order to characterize these four newly discovered binaries, we derived their orbital periods by their times of light minimum, estimated their effective temperatures based on their (J − H) colors and  ...  four eclipsing binary stars in this field.  ...  This paper makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute  ... 
doi:10.1088/1674-4527/13/9/004 fatcat:22ktzyttonajpjsubb54zwrdmm

A 350-MHz GBT Survey of 50 Faint Fermi Gamma-ray Sources for Radio Millisecond Pulsars [article]

Jason W.T. Hessels, Mallory S.E. Roberts, Maura A. McLaughlin, Paul S. Ray, Priyadarshini Bangale, Scott M. Ransom, Matthew Kerr, Fernando Camilo, Megan E. DeCesar, Fermi Pulsar Search Consortium
2011 arXiv   pre-print
Here we briefly describe this survey and the characteristics of the newly discovered MSPs.  ...  So far, these searches have resulted in the discovery of 10 millisecond pulsars, which are plausible counterparts to these unidentified Fermi sources.  ...  We have also searched the first 200 s of all data sets in order to quickly identify the brightest sources and/or those found in particularly compact orbits (P orb ∼ 0.5 hr).  ... 
arXiv:1101.1742v1 fatcat:mem3fucc4ra5tbz7lsbcoj4sfm

Visualizing Token Flows Using Interactive Performance Spectra [chapter]

Wil M. P. van der Aalst, Daniel Tacke Genannt Unterberg, Vadim Denisov, Dirk Fahland
2020 Lecture Notes in Computer Science  
Event data related to the handling of orders are used to demonstrate the functionality of our tool.  ...  For example, it is possible to automatically discover Petri nets showing the bottlenecks in production, administration, transport, and financial processes.  ...  Note that a binary token flow corresponds to a condition in a partially-ordered run of the Petri net [7] . It is possible to describe an entire run of a net as a set of binary token flows.  ... 
doi:10.1007/978-3-030-51831-8_18 fatcat:47h6rg5qp5fdnemgsn6a3xnd7m

Structures of icosahedral quasicrystals and approximants

C. Pay Gómez
2012 Acta Crystallographica Section A Foundations of Crystallography  
have been found in binary as well as ternary intermetallic phases, stable DQC have only been discovered so far in ternary intermetallic systems.  ...  It is binary and chemically well-ordered, and furthermore two closely related approximant phases are known in close compositional vicinity to the quasicrystal.  ...  have been found in binary as well as ternary intermetallic phases, stable DQC have only been discovered so far in ternary intermetallic systems.  ... 
doi:10.1107/s0108767312097395 fatcat:kg4rhtnohngkdkff35yj4cujeq

Massive non-thermal radio emitters: new data and their modelling [article]

D. Volpi Institut d'Astrophysique-Université de Liège
2011 arXiv   pre-print
Here we summarize the available radio data and more recent observations for the binary Cyg OB2 No. 9.  ...  During recent years some non-thermal radio emitting OB stars have been discovered to be binary, or multiple systems.  ...  DV is supported by contract Action 1 project MO/33/024 (Colliding winds in O-type binaries). MdB and YN acknowledge support from FNRS, CFWB, the PRODEX contracts, and the ARC.  ... 
arXiv:1110.2622v1 fatcat:ubg7i6v27bgf5ldfd6s3s4hn2m

The High Time Resolution Universe Pulsar Survey – XII. Galactic plane acceleration search and the discovery of 60 pulsars

C. Ng, D. J. Champion, M. Bailes, E. D. Barr, S. D. Bates, N. D. R. Bhat, M. Burgay, S. Burke-Spolaor, C. M. L. Flynn, A. Jameson, S. Johnston, M. J. Keith (+9 others)
2015 Monthly notices of the Royal Astronomical Society  
binary with orbital period of the order of tens of years.  ...  Two new radio interference mitigation techniques are introduced, as well as a partially-coherent segmented acceleration search algorithm which aims to increase our chances of discovering highly-relativistic  ...  This pulsar is likely to be in an eclipsing binary system with a long orbital period of the order of tens of years.  ... 
doi:10.1093/mnras/stv753 fatcat:cocmibfjnjhg3g624lw2zevlwm

Functional Dependencies in Relational Expressions Based on Or-Sets [chapter]

Michinori Nakata, Tetsuya Murai
2002 Lecture Notes in Computer Science  
Thus, we can discover another functional dependencies related with a partial functional dependency by using the inference rules.  ...  Partial functional dependencies, functional dependencies accompanied by a factor, are examined in a relational database based on or-sets.  ...  It is necessary to investigate properties of partial functional dependencies in order to use the discovered partial functional dependencies in realistic databases.  ... 
doi:10.1007/3-540-45813-1_20 fatcat:nmljjy7m3beajif3s2sazomoja

Discovering Hierarchical Structure for Sources and Entities

Aditya Pal, Nilesh Dalvi, Kedar Bellare
2013 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
The hierarchies produced by our algorithm can be used for completing missing associations and discovering structural bindings in the data.  ...  We model the concept of hierarchy using a set of latent binary features and propose a generative model that assigns those latent features to sources and entities in order to maximize the probability of  ...  The feature assignment to the sources and entities induces a partial order amongst them and this partial order defines the hierarchy.  ... 
doi:10.1609/aaai.v27i1.8625 fatcat:4pyj52vnbrhrpmby3qvpjilj34

Comparing decision mining approaches with regard to the meaningfulness of their results [article]

Beate Scheibel, Stefanie Rinderle-Ma
2021 arXiv   pre-print
Existing approaches focus on the discovery of unary, or in some instances binary data conditions.  ...  Decision rules can comprise unary data conditions, e.g., age > 40, binary data conditions where the relation between two or more variables is relevant, e.g. temperature1 < temperature2, and more complex  ...  Acknowledgment This work has been partially supported and funded by the Austrian Research Promotion Agency (FFG) via the Austrian Competence Center for Digital Production (CDP) under the contract number  ... 
arXiv:2109.07335v1 fatcat:svbcuf4icvhpjfe3mdovrezqfu

AROMA Results for OAEI 2008

Jérôme David
2008 International Semantic Web Conference  
On anatomy track, AROMA has good runtimes but lacks in terms of recall. FAO track corroborates this drawback.  ...  This is partially due to the pruning strategy used. To overcome this drawback, we used a syntactical matcher in order to augment alignments.  ...  We have made some adaptations in order to deal with these annotations. In terms of precision and recall, AROMA performs worse than the label equality matcher.  ... 
dblp:conf/semweb/David08 fatcat:njxxjs2szfcyjesorfoigqxpru

Crowdsourcing program preconditions via a classification game

Daniel Fava, Dan Shapiro, Joseph Osborn, Martin Schäef, E. James Whitehead
2016 Proceedings of the 38th International Conference on Software Engineering - ICSE '16  
We show that Binary Fission players discover concise, general, novel, and human readable program preconditions.  ...  The game, called Binary Fission, employs a classification model. In it, players compose preconditions by separating program states that preserve or violate program assertions.  ...  DTinv discovers to explain all the training data have limited opportunity to generalize.  ... 
doi:10.1145/2884781.2884865 dblp:conf/icse/FavaSOSW16 fatcat:3bpdnngzvrfj3f3aqdghq6eoem
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