Academic literature on the topic 'Symbolic approaches'
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Journal articles on the topic "Symbolic approaches"
Kushnarenko, Olga, and Sophie Pinchinat. "Intensional Approaches for Symbolic Methods." Electronic Notes in Theoretical Computer Science 18 (1998): 112. http://dx.doi.org/10.1016/s1571-0661(05)80253-1.
Full textSebastiani, Roberto, Stefano Tonetta, and Moshe Y. Vardi. "Symbolic systems, explicit properties: on hybrid approaches for LTL symbolic model checking." International Journal on Software Tools for Technology Transfer 13, no. 4 (September 16, 2010): 319–35. http://dx.doi.org/10.1007/s10009-010-0168-4.
Full textCalegari, Roberta, Giovanni Ciatto, and Andrea Omicini. "On the integration of symbolic and sub-symbolic techniques for XAI: A survey." Intelligenza Artificiale 14, no. 1 (September 17, 2020): 7–32. http://dx.doi.org/10.3233/ia-190036.
Full textUEBERLA, JOERG P., and ARUN JAGOTA. "Integrating Neural and Symbolic Approaches: A Symbolic Learning Scheme for a Connectionist Associative Memory." Connection Science 5, no. 3-4 (January 1993): 377–93. http://dx.doi.org/10.1080/09540099308915706.
Full textRival, Xavier. "Symbolic transfer function-based approaches to certified compilation." ACM SIGPLAN Notices 39, no. 1 (January 2004): 1–13. http://dx.doi.org/10.1145/982962.964002.
Full textWilson, Janelle L. "Negotiating Identity: Symbolic Interactionist Approaches to Social Identity." Contemporary Sociology: A Journal of Reviews 46, no. 1 (January 2017): 108–9. http://dx.doi.org/10.1177/0094306116681813tt.
Full textTofts, C. "Symbolic Approaches to Probability Distributions in Process Algebra." Formal Aspects of Computing 12, no. 5 (December 2000): 392–415. http://dx.doi.org/10.1007/pl00013291.
Full textROLI, F., S. B. SERPICO, and G. VERNAZZA. "IMAGE RECOGNITION BY INTEGRATION OF CONNECTIONIST AND SYMBOLIC APPROACHES." International Journal of Pattern Recognition and Artificial Intelligence 09, no. 03 (June 1995): 485–515. http://dx.doi.org/10.1142/s0218001495000493.
Full textAmado, Leonardo, Ramon Fraga Pereira, and Felipe Meneguzzi. "Robust Neuro-Symbolic Goal and Plan Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 10 (June 26, 2023): 11937–44. http://dx.doi.org/10.1609/aaai.v37i10.26408.
Full textBrkić, Dejan, Pavel Praks, Renáta Praksová, and Tomáš Kozubek. "Symbolic Regression Approaches for the Direct Calculation of Pipe Diameter." Axioms 12, no. 9 (August 31, 2023): 850. http://dx.doi.org/10.3390/axioms12090850.
Full textDissertations / Theses on the topic "Symbolic approaches"
Galassi, Andrea. "Symbolic versus sub-symbolic approaches: a case study on training Deep Networks to play Nine Men’s Morris game." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/12859/.
Full textBADAOUI, RAOUL. "APPROACHES FOR PARASITIC-INCLUSIVE SYMBOLIC CIRCUIT REPRESENTATION AND EXTRACTION FOR SYNTHESIS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1132193275.
Full textHamilton, Roy. "A comparison of two approaches of symbolic modeling and self-efficacy /." Terre-Haute (IND) : Dissertation . Com, 1999. http://www.dissertation.com/library/1120745a.htm.
Full textAskar, Sameh El Said Abdel Aziz. "Symbolic approaches and artificial intelligence algorithms for solving multi-objective optimisation problems." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/5557.
Full textCombettes, Sylvain. "Symbolic representations of time series." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASM002.
Full textThe objectives of this thesis are to define novel symbolic representations and distance measures that are suited for time series that can be multivariate and non-stationary. In addition, they should preserve the time information, be interpretable, and fast to compute. We review symbolic representations of time series (that transform a real-valued series into a shorter discrete-valued series), as well as distance measures on time series, strings, and symbolic sequences (that result from a symbolization process).We propose two contributions: ASTRIDE for a data set of univariate time series, and d_{symb} for a data set of multivariate time series. We also developed the d_{symb} playground, an online interactive tool that allows users to apply d_{symb} to their uploaded data. ASTRIDE and d_{symb} are data-driven as they use change-point detection for the segmentation step, then either quantiles or a K-means clustering algorithm for the quantization step. Finally, they apply the general edit distance with custom costs between the resulting symbolic sequences.We show the performance of ASTRIDE compared to 4 other symbolic representations on reconstruction and, when applicable, on classification tasks. For d_{symb}, experiments show how interpretable the symbolization is. Moreover, compared to 9 elastic distances on a clustering task, d_{symb} achieves a competitive performance while being several orders of magnitude faster
Poria, Soujanya. "Novel symbolic and machine-learning approaches for text-based and multimodal sentiment analysis." Thesis, University of Stirling, 2017. http://hdl.handle.net/1893/25396.
Full textIori, Tomoyuki. "Symbolic-Numeric Approaches Based on Theories of Abstract Algebra to Control, Estimation, and Optimization." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263785.
Full textBurkitt, Ian. "The sociological problem of personality formation : with special reference to symbolic interactionist, Marxist and figurational approaches." Thesis, University of Leeds, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235695.
Full textSandström, Johan. "Organizational approaches to greening : technocentrism and beyond." Doctoral thesis, Umeå universitet, Företagsekonomi, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-65798.
Full textdigitalisering@umu
David, Robin. "Formal Approaches for Automatic Deobfuscation and Reverse-engineering of Protected Codes." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0013/document.
Full textMalware analysis is a growing research field due to the criticity and variety of assets targeted as well as the increasing implied costs. These softwares frequently use evasion tricks aiming at hindering detection and analysis techniques. Among these, obfuscation intent to hide the program behavior. This thesis studies the potential of Dynamic Symbolic Execution (DSE) for reverse-engineering. First, we propose two variants of DSE algorithms adapted and designed to fit on protected codes. The first is a flexible definition of the DSE path predicate computation based on concretization and symbolization. The second is based on the definition of a backward-bounded symbolic execution algorithm. Then, we show how to combine these techniques with static analysis in order to get the best of them. Finally, these algorithms have been implemented in different tools Binsec/se, Pinsec and Idasec interacting alltogether and tested on several malicious codes and commercial packers. Especially, they have been successfully used to circumvent and remove the obfuscation targeted in real-world malwares like X-Tunnel from the famous APT28/Sednit group
Books on the topic "Symbolic approaches"
Kruse, Rudolf, and Pierre Siegel, eds. Symbolic and Quantitative Approaches to Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54659-6.
Full textVejnarová, Jiřina, and Nic Wilson, eds. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86772-0.
Full textLiu, Weiru, ed. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22152-1.
Full textFroidevaux, Christine, and Jürg Kohlas, eds. Symbolic and Quantitative Approaches to Reasoning and Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60112-0.
Full textSossai, Claudio, and Gaetano Chemello, eds. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02906-6.
Full textDestercke, Sébastien, and Thierry Denoeux, eds. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20807-7.
Full textAntonucci, Alessandro, Laurence Cholvy, and Odile Papini, eds. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61581-3.
Full textBenferhat, Salem, and Philippe Besnard, eds. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44652-4.
Full textClarke, Michael, Rudolf Kruse, and Serafín Moral, eds. Symbolic and Quantitative Approaches to Reasoning and Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/bfb0028174.
Full textvan der Gaag, Linda C., ed. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39091-3.
Full textBook chapters on the topic "Symbolic approaches"
Muir, Richard. "Symbolic Landscapes." In Approaches to Landscape, 212–43. London: Macmillan Education UK, 1999. http://dx.doi.org/10.1007/978-1-349-27243-3_7.
Full textMooij, Antoine. "The symbolic father." In Approaches to Discourse, Poetics and Psychiatry, 215. Amsterdam: John Benjamins Publishing Company, 1988. http://dx.doi.org/10.1075/ct.4.17moo.
Full textLópez, Natalia, Manuel Núñez, and Ismael Rodríguez. "Testing of Symbolic-Probabilistic Systems." In Formal Approaches to Software Testing, 49–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31848-4_4.
Full textGettler-Summa, Mireille, and Catherine Pardoux. "Symbolic Approaches for Three-way Data." In Analysis of Symbolic Data, 342–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57155-8_12.
Full textVanoverberghe, Dries, and Frank Piessens. "Theoretical Aspects of Compositional Symbolic Execution." In Fundamental Approaches to Software Engineering, 247–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19811-3_18.
Full textSchneider, Sven, Leen Lambers, and Fernando Orejas. "Symbolic Model Generation for Graph Properties." In Fundamental Approaches to Software Engineering, 226–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54494-5_13.
Full textPham, Van-Thuan, Sakaar Khurana, Subhajit Roy, and Abhik Roychoudhury. "Bucketing Failing Tests via Symbolic Analysis." In Fundamental Approaches to Software Engineering, 43–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54494-5_3.
Full textFrantzen, Lars, Jan Tretmans, and Tim A. C. Willemse. "Test Generation Based on Symbolic Specifications." In Formal Approaches to Software Testing, 1–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31848-4_1.
Full textMisonizhnik, Aleksandr, Sergey Morozov, Yurii Kostyukov, Vladislav Kalugin, Aleksei Babushkin, Dmitry Mordvinov, and Dmitry Ivanov. "KLEEF: Symbolic Execution Engine (Competition Contribution)." In Fundamental Approaches to Software Engineering, 314–19. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57259-3_18.
Full textZhang, Guofeng, Ziqi Shuai, Kelin Ma, Kunlin Liu, Zhenbang Chen, and Ji Wang. "FDSE: Enhance Symbolic Execution by Fuzzing-based Pre-Analysis (Competition Contribution)." In Fundamental Approaches to Software Engineering, 304–8. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57259-3_16.
Full textConference papers on the topic "Symbolic approaches"
Yakovlev, A. I., and N. I. Neobutova. "ART OBJECTS IN THE SYMBOLIC LANDSCAPE OF YAKUTSK." In Культура, наука, образование: проблемы и перспективы. Нижневартовский государственный университет, 2021. http://dx.doi.org/10.36906/ksp-2021/35.
Full textDumancic, Sebastijan, Alberto Garcia-Duran, and Mathias Niepert. "A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/843.
Full textUmili, Elena, Roberto Capobianco, and Giuseppe De Giacomo. "Grounding LTLf Specifications in Image Sequences." In 20th International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/kr.2023/65.
Full textJames, Steven. "Learning Portable Symbolic Representations." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/826.
Full textMalcoci, Vitalie. "Semantic approaches of rural architectural decor from the south of Moldova." In Simpozion internațional de etnologie: Tradiții și procese etnice, Ediția III. Institute of Cultural Heritage, Republic of Moldova, 2023. http://dx.doi.org/10.52603/9789975841733.10.
Full textRival, Xavier. "Symbolic transfer function-based approaches to certified compilation." In the 31st ACM SIGPLAN-SIGACT symposium. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/964001.964002.
Full textChaudhury, Subhajit, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, and Asim Munawar. "Neuro-Symbolic Approaches for Text-Based Policy Learning." In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.emnlp-main.245.
Full textDong, Hanzhang. "Analyzing the symbolic significance of Angelopoulos’ films from the perspective of semiotics." In Intelligent Human Systems Integration (IHSI 2024) Integrating People and Intelligent Systems. AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004522.
Full textMishna, Marni. "Algorithmic Approaches for Lattice Path Combinatorics." In ISSAC '17: International Symposium on Symbolic and Algebraic Computation. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3087604.3087664.
Full textAspis, Yaniv, Krysia Broda, Jorge Lobo, and Alessandra Russo. "Embed2Sym - Scalable Neuro-Symbolic Reasoning via Clustered Embeddings." In 19th International Conference on Principles of Knowledge Representation and Reasoning {KR-2022}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/kr.2022/44.
Full textReports on the topic "Symbolic approaches"
Seshia, Sanjit A., and Randal E. Bryant. A Boolean Approach to Unbounded, Fully Symbolic Model Checking of Timed Automata. Fort Belvoir, VA: Defense Technical Information Center, March 2003. http://dx.doi.org/10.21236/ada460035.
Full textTang, Zibin. A new design approach for numeric-to-symbolic conversion using neural networks. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6126.
Full textRoss, Kassandra, and Young-A. Lee. Social Media Era Consumers' Identity Formation: A Symbolic Interactionist Approach to Consumer-Brand Identity Co-creation. Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8790.
Full textDecleir, Cyril, Mohand-Saïd Hacid, and Jacques Kouloumdjian. A Database Approach for Modeling and Querying Video Data. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.90.
Full textPédarros, Élie, Jeremy Allouche, Matiwos Bekele Oma, Priscilla Duboz, Amadou Hamath Diallo, Habtemariam Kassa, Chloé Laloi, et al. The Great Green Wall as a Social-Technical Imaginary. Institute of Development Studies, April 2024. http://dx.doi.org/10.19088/ids.2024.017.
Full textMakhachashvili, Rusudan K., Svetlana I. Kovpik, Anna O. Bakhtina, and Ekaterina O. Shmeltser. Technology of presentation of literature on the Emoji Maker platform: pedagogical function of graphic mimesis. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3864.
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