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1

Zhang, Shugang, Zhiqiang Wei, Jie Nie, Lei Huang, Shuang Wang et Zhen Li. « A Review on Human Activity Recognition Using Vision-Based Method ». Journal of Healthcare Engineering 2017 (2017) : 1–31. http://dx.doi.org/10.1155/2017/3090343.

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Human activity recognition (HAR) aims to recognize activities from a series of observations on the actions of subjects and the environmental conditions. The vision-based HAR research is the basis of many applications including video surveillance, health care, and human-computer interaction (HCI). This review highlights the advances of state-of-the-art activity recognition approaches, especially for the activity representation and classification methods. For the representation methods, we sort out a chronological research trajectory from global representations to local representations, and recent depth-based representations. For the classification methods, we conform to the categorization of template-based methods, discriminative models, and generative models and review several prevalent methods. Next, representative and available datasets are introduced. Aiming to provide an overview of those methods and a convenient way of comparing them, we classify existing literatures with a detailed taxonomy including representation and classification methods, as well as the datasets they used. Finally, we investigate the directions for future research.
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2

Wolter, Rafael. « The Structural Approach to Social Representations : Bridges between Theory and Methods ». Psico-USF 23, no 4 (décembre 2018) : 621–31. http://dx.doi.org/10.1590/1413-82712018230403.

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Abstract Since the publication of the works of Jean-Claude Abric and Celso Sá, the structural approach to social representation has become widely diffused. There is often a lack of congruency between theoretical aspects of the structural approach and technical characteristics of the different methods used. This paper aims at making explicit the structural characteristics that are studied by the different structural approach techniques. These characteristics are: associative power of the elements, consensual aspects of thought and object essence. With these characteristics it is possible to elaborate a classification of the different techniques of the structural approach to social representations. The conclusion focuses on the absence of the social representation dynamics on a technical level despite being a central theoretical point for a better understanding of the socio representational phenomenon.
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3

Reinhartz-Berger, Iris. « Representation of Situational Methods ». International Journal of Information System Modeling and Design 4, no 3 (juillet 2013) : 32–49. http://dx.doi.org/10.4018/jismd.2013070102.

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Method Engineering (ME) and Situational Method Engineering (SME) aim at providing effective solutions for building and supporting evolution of software and information systems development methods. For this purpose, method components are specified and composed into general-purpose development methods or situational methods, i.e., development methods that best fit the characteristics of a given project and its environment. Recently ISO/IEC 24744 has emerged for defining a metamodel and a notation for development methods. However, this standard lacks a systematic support for situational classification and maintenance. In this work, the authors suggest incorporating ISO/IEC 24744 metamodel into a domain-based framework, called Application-based DOmain Modeling for Method Engineering (ADOM-ME), which supports specifying both general-purpose and situational methods in a single, simple, accessible, and scalable frame of reference. An exploratory study on the usability of ADOM-ME indicates that the approach can be utilized by information systems students that represent non-experienced method engineers and software developers.
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4

Nguyễn, Tuấn, Nguyen Hai Hao, Dang Le Dinh Trang, Nguyen Van Tuan et Cao Van Loi. « Robust anomaly detection methods for contamination network data ». Journal of Military Science and Technology, no 79 (19 mai 2022) : 41–51. http://dx.doi.org/10.54939/1859-1043.j.mst.79.2022.41-51.

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Recently, latent representation models, such as Shrink Autoencoder (SAE), have been demonstrated as robust feature representations for one-class learning-based network anomaly detection. In these studies, benchmark network datasets that are processed in laboratory environments to make them completely clean are often employed for constructing and evaluating such models. In real-world scenarios, however, we can not guarantee 100% to collect pure normal data for constructing latent representation models. Therefore, this work aims to investigate the characteristics of the latent representation of SAE in learning normal data under some contamination scenarios. This attempts to find out wherever the latent feature space of SAE is robust to contamination or not, and which contamination scenarios it prefers. We design a set of experiments using normal data contaminated with different anomaly types and different proportions of anomalies for the investigation. Other latent representation methods such as Denoising Autoencoder (DAE) and Principal component analysis (PCA) are also used for comparison with the performance of SAE. The experimental results on four CTU13 scenarios show that the latent representation of SAE often out-performs and are less sensitive to contamination than the others.
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5

Kreinovich, V. « Interval Methods in Knowledge Representation ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 30, no 02 (avril 2022) : 335–36. http://dx.doi.org/10.1142/s0218488522970030.

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6

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 08, no 01 (février 2000) : 119–20. http://dx.doi.org/10.1142/s0218488500000083.

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7

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 08, no 02 (avril 2000) : 235–38. http://dx.doi.org/10.1142/s0218488500000150.

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8

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 08, no 03 (juin 2000) : 383–84. http://dx.doi.org/10.1142/s0218488500000277.

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KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 08, no 04 (août 2000) : 501–2. http://dx.doi.org/10.1142/s0218488500000356.

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10

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 08, no 05 (octobre 2000) : 619–20. http://dx.doi.org/10.1142/s0218488500000435.

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11

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 08, no 06 (décembre 2000) : 763–64. http://dx.doi.org/10.1142/s0218488500000551.

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12

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 09, no 01 (février 2001) : 123–24. http://dx.doi.org/10.1142/s0218488501000661.

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13

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 09, no 02 (avril 2001) : 277–78. http://dx.doi.org/10.1142/s0218488501000806.

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14

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 09, no 03 (juin 2001) : 411–12. http://dx.doi.org/10.1142/s0218488501000867.

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15

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 09, no 04 (août 2001) : 525–26. http://dx.doi.org/10.1142/s0218488501000934.

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16

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 09, no 05 (octobre 2001) : 645–46. http://dx.doi.org/10.1142/s0218488501001101.

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17

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, no 01 (février 2002) : 113–14. http://dx.doi.org/10.1142/s0218488502001363.

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18

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, no 02 (avril 2002) : 211–12. http://dx.doi.org/10.1142/s0218488502001430.

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19

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, no 03 (juin 2002) : 327–28. http://dx.doi.org/10.1142/s0218488502001508.

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20

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, no 04 (août 2002) : 451–52. http://dx.doi.org/10.1142/s0218488502001569.

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21

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, no 05 (octobre 2002) : 609–10. http://dx.doi.org/10.1142/s0218488502001673.

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22

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, no 06 (décembre 2002) : 737–38. http://dx.doi.org/10.1142/s0218488502001764.

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23

Kreinovich, Vladik. « Interval Methods in Knowledge Representation ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11, no 02 (avril 2003) : 255–56. http://dx.doi.org/10.1142/s0218488503002041.

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24

Kreinovich, Vladik. « Interval Methods in Knowledge Representation ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11, no 03 (juin 2003) : 391–92. http://dx.doi.org/10.1142/s0218488503002144.

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25

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11, no 04 (août 2003) : 515–16. http://dx.doi.org/10.1142/s0218488503002211.

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26

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11, no 05 (octobre 2003) : 653–54. http://dx.doi.org/10.1142/s0218488503002399.

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27

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11, no 06 (décembre 2003) : 779–80. http://dx.doi.org/10.1142/s0218488503002521.

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28

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, no 01 (février 2004) : 125–26. http://dx.doi.org/10.1142/s0218488504002710.

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29

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, no 02 (avril 2004) : 255–56. http://dx.doi.org/10.1142/s0218488504002813.

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30

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, no 03 (juin 2004) : 407–8. http://dx.doi.org/10.1142/s0218488504002904.

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31

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, no 04 (août 2004) : 557–58. http://dx.doi.org/10.1142/s0218488504002989.

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32

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, no 05 (octobre 2004) : 713–14. http://dx.doi.org/10.1142/s0218488504003168.

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33

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, no 06 (décembre 2004) : 861–62. http://dx.doi.org/10.1142/s0218488504003259.

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KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13, no 01 (février 2005) : 111–12. http://dx.doi.org/10.1142/s0218488505003333.

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35

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13, no 02 (avril 2005) : 241–42. http://dx.doi.org/10.1142/s0218488505003424.

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This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@cs.utep.edu, or by regular mail to: VLADIK KREINOVICH, Department of Computer Science, University of Texas at El Paso, El Paso, TX 79968, USA.
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36

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13, no 03 (juin 2005) : 363–64. http://dx.doi.org/10.1142/s0218488505003515.

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37

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13, no 04 (août 2005) : 465–66. http://dx.doi.org/10.1142/s0218488505003588.

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38

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13, no 05 (octobre 2005) : 561–62. http://dx.doi.org/10.1142/s0218488505003655.

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39

KREINOVICH, VLADIK. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13, no 06 (décembre 2005) : 699–702. http://dx.doi.org/10.1142/s0218488505003758.

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40

Kreinovich, V. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no 01 (février 2006) : 139–40. http://dx.doi.org/10.1142/s021848850600390x.

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This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA.
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41

Kreinovich, Vladik. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no 02 (avril 2006) : 245–46. http://dx.doi.org/10.1142/s0218488506003972.

Texte intégral
Résumé :
This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA.
Styles APA, Harvard, Vancouver, ISO, etc.
42

Kreinovich, Vladik. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no 03 (juin 2006) : 367–68. http://dx.doi.org/10.1142/s0218488506004060.

Texte intégral
Résumé :
This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA.
Styles APA, Harvard, Vancouver, ISO, etc.
43

Kreinovich, Vladik. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no 04 (août 2006) : 525–26. http://dx.doi.org/10.1142/s0218488506004163.

Texte intégral
Résumé :
This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA.
Styles APA, Harvard, Vancouver, ISO, etc.
44

Kreinovich, Vladik. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no 05 (octobre 2006) : 637–38. http://dx.doi.org/10.1142/s0218488506004242.

Texte intégral
Résumé :
This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA.
Styles APA, Harvard, Vancouver, ISO, etc.
45

Kreinovich, Vladik. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no 06 (décembre 2006) : 757–58. http://dx.doi.org/10.1142/s0218488506004321.

Texte intégral
Résumé :
This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA.
Styles APA, Harvard, Vancouver, ISO, etc.
46

Kreinovich, Vladik. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no 01 (février 2007) : 131–32. http://dx.doi.org/10.1142/s0218488507004418.

Texte intégral
Résumé :
This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA.
Styles APA, Harvard, Vancouver, ISO, etc.
47

Kreinovich, Vladik. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no 02 (avril 2007) : 251–52. http://dx.doi.org/10.1142/s0218488507004546.

Texte intégral
Résumé :
This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA.
Styles APA, Harvard, Vancouver, ISO, etc.
48

Kreinovich, Vladik. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no 03 (juin 2007) : 395–96. http://dx.doi.org/10.1142/s0218488507004741.

Texte intégral
Résumé :
This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA.
Styles APA, Harvard, Vancouver, ISO, etc.
49

Kreinovich, Vladik. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no 04 (août 2007) : 519–20. http://dx.doi.org/10.1142/s0218488507004832.

Texte intégral
Résumé :
This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA.
Styles APA, Harvard, Vancouver, ISO, etc.
50

Kreinovich, Vladik. « INTERVAL METHODS IN KNOWLEDGE REPRESENTATION ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no 05 (octobre 2007) : 647–48. http://dx.doi.org/10.1142/s0218488507004923.

Texte intégral
Résumé :
This section is maintained by Vladik Kreinovich. Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to: V. Kreinovich, Department of Computer Science, University of Texas, El Paso, TX 79968, USA.
Styles APA, Harvard, Vancouver, ISO, etc.
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