Relevant bibliographies by topics / Graphical model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Graphical model'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Graphical model.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Graphical model"

1

Li, Ying, and Ye Tang. "Design on Intelligent Feature Graphics Based on Convolution Operation." Mathematics 10, no. 3 (January 26, 2022): 384. http://dx.doi.org/10.3390/math10030384.

Full text
Abstract:
With the development and application of artificial intelligence, the technical methods of intelligent image processing and graphic design need to be explored to realize the intelligent graphic design based on traditional graphics such as pottery engraving graphics. An optimized method is aimed to be explored to extract the image features from traditional engraving graphics on historical relics and apply them into intelligent graphic design. For this purpose, an image feature extracted model based on convolution operation is proposed. Parametric test and effectiveness research are conducted to evaluate the performance of the proposed model. Theoretical and practical research shows that the image-extracted model has a significant effect on the extraction of image features from traditional engraving graphics because the image brightness processing greatly simplifies the process of image feature extraction, and the convolution operation improves the accuracy. Based on the brightness feature map output from the proposed model, the design algorithm of intelligent feature graphic is presented to create the feature graphics, which can be directly applied to design the intelligent graphical interface. Taking some pottery engraving graphics from the Neolithic Age as an example, we conduct the practice on image feature extraction and feature graphic design, the results of which further verify the effectiveness of the proposed method. This paper provides a theoretical basis for the application of traditional engraving graphics in intelligent graphical interface design for AI products such as smart tourism products, smart museums, and so on.
APA, Harvard, Vancouver, ISO, and other styles
2

Сальков and Nikolay Sal'kov. "Geometric Simulation and Descriptive Geometry." Geometry & Graphics 4, no. 4 (December 19, 2016): 31–40. http://dx.doi.org/10.12737/22841.

Full text
Abstract:
Geometric simulation is creation of a geometric model, whose properties and characteristics in a varying degree determine the subject of investigation’s properties and characteristics. The geometric model is a special case of the mathematical model. The feature of the geometric model is that it will always be a geometric figure, and therefore, by its very nature, is visual. If the mathematical model is a set of equations, which says little to an ordinary engineer, the geometric model as representation of the mathematical model and as the geometric figure itself, enables to "see" this set. Any geometric model can be represented graphically. Graphical model of an object is a mapping of its geometric model onto a plane (or other surface). Therefore, the graphical model can be considered as a special case of the geometric model. Graphical models are very various – these are graphics, and graphical structures of immense complexity, reflecting spatial geometric figures. These are drawings of geometric figures, simulating processes of all kinds. The simulation goes on as follows. According to known geometric and differential criteria the geometric model is executed. Then a mathematical model is composed based on the geometric model, finally a computer program is compiled on the mathematical model. As a result of consideration in this paper the process of obtaining the geometric models of surface and linear forms for auto-roads it is possible to make a following conclusion. For geometric simulation and the consequent mathematical one the descriptive geometry involvement is vital. Just the descriptive geometry is used both on the initial and final stages of design.
APA, Harvard, Vancouver, ISO, and other styles
3

Alsaade, Fawaz. "Symmetric Crypto-Graphical Model." Trends in Applied Sciences Research 5, no. 2 (February 1, 2010): 146–51. http://dx.doi.org/10.3923/tasr.2010.146.151.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Tarantola, Claudia. "MCMC model determination for discrete graphical models." Statistical Modelling: An International Journal 4, no. 1 (April 2004): 39–61. http://dx.doi.org/10.1191/1471082x04st063oa.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mendling, Jan, Jan Recker, and Hajo A. Reijers. "On the Usage of Labels and Icons in Business Process Modeling." International Journal of Information System Modeling and Design 1, no. 2 (April 2010): 40–58. http://dx.doi.org/10.4018/jismd.2010040103.

Full text
Abstract:
The value of business process models is dependent on the choice of graphical elements in the model and their annotation with additional textual and graphical information. This research discusses the use of text and icons for labeling the graphical constructs in a process model. The authors use two established verb classification schemes to examine the choice of activity labels in process modeling practice. Based on the author’s findings, this paper synthesizes a set of twenty-five activity label categories. Proposed is a systematic approach for graphically representing these label categories through the use of graphical icons, such that the resulting process models are easier and more readily understandable by end users. The author’s findings contribute to an ongoing stream of research investigating the practice of process modeling and thereby contribute to the body of knowledge about conceptual modeling quality overall.
APA, Harvard, Vancouver, ISO, and other styles
6

Gouiouez, Mounir. "Probabilistic Graphical Model based on BablNet for Arabic Text Classification." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 1241–50. http://dx.doi.org/10.5373/jardcs/v12sp7/20202224.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Akselrud, Lev, and Yuri Grin. "WinCSD: software package for crystallographic calculations (Version 4)." Journal of Applied Crystallography 47, no. 2 (March 11, 2014): 803–5. http://dx.doi.org/10.1107/s1600576714001058.

Full text
Abstract:
The fourth version of the program packageWinCSDis multi-purpose computer software for crystallographic calculations using single-crystal and powder X-ray and neutron diffraction data. The software environment and the graphical user interface are built using the platform of the Microsoft .NET Framework, which grants independence from changing Windows operating systems and allows for transferring to other operating systems. Graphic applications use the three-dimensional OpenGL graphics language.WinCSDcovers the complete spectrum of crystallographic calculations, including powder diffraction pattern deconvolution, crystal structure solution and refinement in 3 + dspace, refinement of the multipole model and electron density studies from diffraction data, and graphical representation of crystallographic information.
APA, Harvard, Vancouver, ISO, and other styles
8

Smirnov, M. V., and R. S. Tolmasov. "Graphical Notation for Document Database Modeling." Open Education 25, no. 5 (November 8, 2021): 50–60. http://dx.doi.org/10.21686/1818-4243-2021-5-50-60.

Full text
Abstract:
Goals and objectives. Graphical models have proven to be a reliable, clear and convenient tool for creating sketch models of databases. Most of the existing notations are designed for the relational data model, the dominant data model for the last thirty years. However, the development of information technologies has led to an increase in the popularity of non-relational data models, primarily the document model. One of the problems of its application in practice is the lack of suitable tools that allow performing graphical modeling of the database, taking into account the features of the document model, at the stage of logical design. The development of appropriate tools is an important and actual task, since their application in practical research makes it possible to identify, classify and analyze typical modeling errors that allow the designer to reduce the risk of their occurrence in the future. The purpose of this article is to develop a graphical notation that, on the one hand, providing convenience for the designer, and on the other hand, taking into account the peculiarities of creating and functioning of the noSQL document storage model.Materials and methods. The materials for the study were numerous publications devoted to the development of graphical notations in problems and their application to database design for various information systems. The selected materials were analyzed and the main graphical notations used to describe the relational data model were identified. Three notations were selected from them, a set of graphic stereotypes, which were most different from each other, the analysis of which allowed us to identify the main image patterns of the components of the relational model.The resulting patterns were applied to the main elements of the document database, which were obtained by analyzing the documentation of the popular MongoDB DBMS.Results. The result of the research was the creation of a new tool for modeling document databases at the logical level, which consists of a set of graphic stereotypes and rules for their application. On the one hand, the development is well known to practitioners who have previously worked with relational data models, since its development took into account many years of experience in using graphical models in the field of relational database design, and on the other hand, it reflects the features of the structure of the document model.Conclusion. The practical application of the developed model has shown the convenience of its use both in the process of designing document databases and in the process of teaching students within this subject area. The use of graphical models constructed in the proposed graphical notation will allow researchers to create and illustrate typical patterns of document databases, which will undoubtedly have a positive impact on the dynamics of the development of promising data storage technologies.
APA, Harvard, Vancouver, ISO, and other styles
9

Lotsi, Anani, and Ernst Wit. "Sparse Gaussian graphical mixture model." Afrika Statistika 11, no. 2 (December 1, 2016): 1041–59. http://dx.doi.org/10.16929/as/2016.1041.91.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Robinson, Peter. "A model for graphical interaction." Software Engineering Journal 3, no. 6 (1988): 263. http://dx.doi.org/10.1049/sej.1988.0034.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Graphical model"

1

Kamenetsky, Dmitry, and dkamen@rsise anu edu au. "Ising Graphical Model." The Australian National University. ANU College of Engineering and Computer Science, 2010. http://thesis.anu.edu.au./public/adt-ANU20100727.221031.

Full text
Abstract:
The Ising model is an important model in statistical physics, with over 10,000 papers published on the topic. This model assumes binary variables and only local pairwise interactions between neighbouring nodes. Inference for the general Ising model is NP-hard; this includes tasks such as calculating the partition function, finding a lowest-energy (ground) state and computing marginal probabilities. Past approaches have proceeded by working with classes of tractable Ising models, such as Ising models defined on a planar graph. For such models, the partition function and ground state can be computed exactly in polynomial time by establishing a correspondence with perfect matchings in a related graph. In this thesis we continue this line of research. In particular we simplify previous inference algorithms for the planar Ising model. The key to our construction is the complementary correspondence between graph cuts of the model graph and perfect matchings of its expanded dual. We show that our exact algorithms are effective and efficient on a number of real-world machine learning problems. We also investigate heuristic methods for approximating ground states of non-planar Ising models. We show that in this setting our approximative algorithms are superior than current state-of-the-art methods.
APA, Harvard, Vancouver, ISO, and other styles
2

Smith, Peter William Frederick. "Edge exclusion and model selection in graphical models." Thesis, Lancaster University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315138.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Lin, Jiali. "Bayesian Multilevel-multiclass Graphical Model." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/101092.

Full text
Abstract:
Gaussian graphical model has been a popular tool to investigate conditional dependency between random variables by estimating sparse precision matrices. Two problems have been discussed. One is to learn multiple Gaussian graphical models at multilevel from unknown classes. Another one is to select Gaussian process in semiparametric multi-kernel machine regression. The first problem is approached by Gaussian graphical model. In this project, I consider learning multiple connected graphs among multilevel variables from unknown classes. I esti- mate the classes of the observations from the mixture distributions by evaluating the Bayes factor and learn the network structures by fitting a novel neighborhood selection algorithm. This approach is able to identify the class membership and to reveal network structures for multilevel variables simultaneously. Unlike most existing methods that solve this problem by frequentist approaches, I assess an alternative to a novel hierarchical Bayesian approach to incorporate prior knowledge. The second problem focuses on the analysis of correlated high-dimensional data which has been useful in many applications. In this work, I consider a problem of detecting signals with a semiparametric regression model which can study the effects of fixed covariates (e.g. clinical variables) and sets of elements (e.g. pathways of genes). I model the unknown high-dimension functions of multi-sets via multi-Gaussian kernel machines to consider the possibility that elements within the same set interact with each other. Hence, my variable selection can be considered as Gaussian process selection. I develop my Gaussian process selection under the Bayesian variable selection framework.
Doctor of Philosophy
APA, Harvard, Vancouver, ISO, and other styles
4

Desana, Mattia [Verfasser], and Christoph [Akademischer Betreuer] Schnörr. "Sum-Product Graphical Models: a Graphical Model Perspective on Sum-Product Networks / Mattia Desana ; Betreuer: Christoph Schnörr." Heidelberg : Universitätsbibliothek Heidelberg, 2018. http://d-nb.info/1177044358/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Schmidt, Mark. "Graphical model structure learning using L₁-regularization." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/27277.

Full text
Abstract:
This work looks at fitting probabilistic graphical models to data when the structure is not known. The main tool to do this is L₁-regularization and the more general group L₁-regularization. We describe limited-memory quasi-Newton methods to solve optimization problems with these types of regularizers, and we examine learning directed acyclic graphical models with L₁-regularization, learning undirected graphical models with group L₁-regularization, and learning hierarchical log-linear models with overlapping group L₁-regularization.
APA, Harvard, Vancouver, ISO, and other styles
6

Seward, D. C. (DeWitt Clinton). "Graphical analysis of hidden Markov model experiments." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/36469.

Full text
Abstract:
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
Includes bibliographical references (leaves 60-61).
by DeWitt C. Seward IV.
Ph.D.
APA, Harvard, Vancouver, ISO, and other styles
7

Pu, Yewen. "A novel inference algorithm on graphical model." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/97818.

Full text
Abstract:
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 57-58).
We present a framework for approximate inference that, given a factor graph and a subset of its variables, produces an approximate marginal distribution over these variables with bounds. The factors of the factor graph are abstracted as as piecewise polynomial functions with lower and upper bounds, and a variant of the variable elimination algorithm solves the inference problem over this abstraction. The resulting distributions bound quantifies the error between it and the true distribution. We also give a set of heuristics for improving the bounds by further refining the binary space partition trees.
by Yewen Pu.
S.M.
APA, Harvard, Vancouver, ISO, and other styles
8

Cooke, Christopher Alexander. "Interactive graphical model building using virtual reality." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/34065.

Full text
Abstract:
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
Includes bibliographical references (leaves 58-59).
by Christopher Alexander Cooke.
M.S.
APA, Harvard, Vancouver, ISO, and other styles
9

Jammalamadaka, Arvind K. (Arvind Kumar) 1981. "Aspects of inference for the Influence Model and related graphical models." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28557.

Full text
Abstract:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (p. 61-64).
The Influence Model (IM), developed with the primary motivation of describing network dynamics in power systems, has proved to be very useful in a variety of contexts. It consists of a directed graph of interacting sites whose Markov state transition probabilities depend on their present state and that of their neighbors. The major goals of this thesis are (1) to place the Influence Model in the broader framework of graphical models, such as Bayesian networks, (2) to provide and discuss a hybrid model between the IM and dynamic Bayesian networks, (3) to discuss the use of inference tools available for such graphical models in the context of the IM, and (4) to provide some methods of estimating the unknown parameters that describe the IM. We hope each of these developments will enhance the use of IM as a tool for studying networked interact ions.
by Arvind K. Jammalamadaka.
S.M.
APA, Harvard, Vancouver, ISO, and other styles
10

Komodakis, Nikos. "Graphical Model Inference and Learning for Visual Computing." Habilitation à diriger des recherches, Université Paris-Est, 2013. http://tel.archives-ouvertes.fr/tel-00866078.

Full text
Abstract:
Computational vision and image analysis is a multidisciplinary scientific field that aims to make computers "see" in a way that is comparable to human perception. It is currently one of the most challenging research areas in artificial intelligence. In this regard, the extraction of information from the vast amount of visual data that are available today as well as the exploitation of the resulting information space becomes one of the greatest challenges in our days. To address such a challenge, this thesis describes a very general computational framework that can be used for performing efficient inference and learning for visual perception based on very rich and powerful models.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Graphical model"

1

Duch, W. GRMS or Graphical Representation of Model Spaces. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-93347-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

GRMS, or, Graphical representation of model spaces. Berlin: Springer-Verlag, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Cameron, Morris. An object model constructor for graphical user interfaces. (S.l: The Author), 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Betack, Charles N. Graphical analysis of the sensitivites of ATCAL in the FORCEM model. Monterey, Calif: Naval Postgraduate School, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Portinale, Luigi. Modeling and analysis of dependable systems: A probabilistic graphical model perspective. New Jersey: World Scientific, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Toy, David J. Comparison of graphical terrain resolutions by scenario for the Janus(A) combat model. Monterey, Calif: Naval Postgraduate School, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Urnes, Tore. A relational model for programming concurrent and distributed user interfaces. Sankt Augustin: Gesellschaft für Mathematik und Datenverarbeitung, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wyant, Marvin Abram. Design and implementation of a prototype graphical user interface for a model management system. Monterey, California: Naval Postgraduate School, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

M, Cox William, and United States. Environmental Protection Agency. Office of Air Quality Planning and Standards, eds. Evaluation of rural air quality simulation models: Addendum B : graphical display of model performance using the Clifty Creek data base. Research Triangle Park, N.C: U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Souza, William R. Documentation of a graphical display program for the saturated-unsaturated transport (SUTRA) finite-element simulation model. Honolulu, Hawaii: Dept. of the Interior, U.S. Geological Survey, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Graphical model"

1

Wang, Sun-Chong. "Graphical Model." In Interdisciplinary Computing in Java Programming, 211–39. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0377-4_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Zhang, Xiujun. "Graphical Model." In Encyclopedia of Systems Biology, 868. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_389.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Polani, Daniel. "Probabilistic Graphical Model." In Encyclopedia of Systems Biology, 1748. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1553.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Zhang, Zhong-Yuan. "Graphical Gaussian Model." In Encyclopedia of Systems Biology, 867–68. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_401.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kveton, Branislav, Hung Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, and Siqi Sun. "Graphical Model Sketch." In Machine Learning and Knowledge Discovery in Databases, 81–97. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46128-1_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Almond, Russell G. "Model Exploration." In Graphical Belief Modeling, 183–215. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-7106-7_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Almond, Russell G. "Model Exploration." In Graphical Belief Modeling, 183–215. Boca Raton: Routledge, 2022. http://dx.doi.org/10.1201/9780203719947-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Fuhrmann, Hauke, and Reinhard von Hanxleden. "Taming Graphical Modeling." In Model Driven Engineering Languages and Systems, 196–210. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16145-2_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Vitali, Marco, Francesca Ronco, and Fabrizio Natta. "Protection and Enhancement of Plastic Models: The Model of the Citadel of Turin." In Graphical Heritage, 464–74. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47979-4_40.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

López Sánchez, Marina, Antonio Tejedor Cabrera, and Mercedes Linares Gómez del Pulgar. "Cultural Landscape’s Spatial Management: Concept, Model and Advanced Mapping Tools." In Graphical Heritage, 54–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47987-9_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Graphical model"

1

Ducoin, Aurélien, and Eugene Syriani. "Graphical projectional editing in gentleman." In MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550356.3559092.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kalnina, Elina. "Concrete syntax-based find for graphical DSLs." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3417990.3422008.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Kalnins, Audris, and Janis Barzdins. "Metamodel specialization for graphical modeling language support." In MODELS '16: ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2976767.2976779.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Jafarlou, Manouchehr Zadahmad. "Domain-specific model differencing for graphical domain-specific languages." In MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550356.3552368.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ren, Shaogang, Belhal Karimi, Dingcheng Li, and Ping Li. "Variational Flow Graphical Model." In KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3534678.3539450.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Lu, ShaoLin. "Graphical State Space Model." In 2021 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2021. http://dx.doi.org/10.1109/icus52573.2021.9641466.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kolovos, Dimitris, Alfonso de la Vega, and Justin Cooper. "Efficient generation of graphical model views via lazy model-to-text transformation." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3365438.3410943.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Rodriguez-Echeverria, Roberto, Javier Luis Cánovas Izquierdo, Manuel Wimmer, and Jordi Cabot. "Towards a Language Server Protocol Infrastructure for Graphical Modeling." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3239372.3239383.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Rani, Fatima, Pablo Diez, Enrique Chavarriaga, Esther Guerra, and Juan de Lara. "Automated migration of EuGENia graphical editors to the web." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3417990.3420205.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Zoubek, Florian, Philip Langer, and Tanja Mayerhofer. "Visualizations of Evolving Graphical Models in the Context of Model Review." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3239372.3239403.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Graphical model"

1

Madigan, David, and Adrian E. Raftery. Model Selection and Accounting for Model Uncertainty in Graphical Models Using OCCAM's Window. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada241408.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Davis, William B. Graphical Model Theory for Wireless Sensor Networks. Office of Scientific and Technical Information (OSTI), December 2002. http://dx.doi.org/10.2172/833692.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Moura, Jose M. Distributed Sensing and Processing: A Graphical Model Approach. Fort Belvoir, VA: Defense Technical Information Center, November 2005. http://dx.doi.org/10.21236/ada455686.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Gosselin, Mark S., R. B. Taylor, and Kenneth R. Craig. Representation of Hydrodynamic Model Results through Graphical Displays. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ad1003878.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Keen, Timothy R., and James D. Dykes. Model Verification and Validation Using Graphical Information Systems Tools. Fort Belvoir, VA: Defense Technical Information Center, July 2013. http://dx.doi.org/10.21236/ada587422.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Oyen, Diane. Gaining Insight from Data by Learning Graphical Model Structure. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1163637.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Smith III, F. G. A Module for Graphical Display of Model Results with the CBP Toolbox. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1178649.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Blundell, S. User guide : the DEM Breakline and Differencing Analysis Tool—gridded elevation model analysis with a convenient graphical user interface. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45040.

Full text
Abstract:
Gridded elevation models of the earth’s surface derived from airborne lidar data or other sources can provide qualitative and quantitative information about the terrain and its surface features through analysis of the local spatial variation in elevation. The DEM Breakline and Differencing Analysis Tool was developed to extract and display micro-terrain features and vegetative cover based on the numerical modeling of elevation discontinuities or breaklines (breaks-in-slope), slope, terrain ruggedness, local surface optima, and the local elevation difference between first surface and bare earth input models. Using numerical algorithms developed in-house at the U.S. Army Engineer Research and Development Center, Geospatial Research Laboratory, various parameters are calculated for each cell in the model matrix in an initial processing phase. The results are combined and thresholded by the user in different ways for display and analysis. A graphical user interface provides control of input models, processing, and display as color-mapped overlays. Output displays can be saved as images, and the overlay data can be saved as raster layers for input into geographic information systems for further analysis.
APA, Harvard, Vancouver, ISO, and other styles
9

Haupt, Tomasz A., Greg Henley, Bhargavi S. Parihar, Robert Kirkland, Jason Floyd, Joseph Scheffey, Patricia A. Tatem, and Frederick W. Williams. Graphical User Interface Version 2.8 with Fire and Smoke Simulation Model (FSSIM) Version 1.2: User Manual. Fort Belvoir, VA: Defense Technical Information Center, October 2008. http://dx.doi.org/10.21236/ada488167.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Haupt, Thomas A., Gregory J. Henley, Bhargavi S. Parihar, Robert Kirkland, Jason E. Floyd, Joseph L. Scheffey, Patricia A. Tatem, and Frederick W. Williams. User Manual for Graphical User Interface Version 2.10 with Fire and Smoke Simulation Model (FSSIM) Version 1.2. Fort Belvoir, VA: Defense Technical Information Center, May 2010. http://dx.doi.org/10.21236/ada525123.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Graphical model' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography