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Artykuły w czasopismach na temat "Approximate logics"
Biacino, Loredana, i Giangiacomo Gerla. "Logics with approximate premises". International Journal of Intelligent Systems 13, nr 1 (styczeń 1998): 1–10. http://dx.doi.org/10.1002/(sici)1098-111x(199801)13:1<1::aid-int1>3.0.co;2-u.
Pełny tekst źródłaDunin-Kęplicz, Barbara, Anh Nguyen i Andrzej Szałas. "A layered rule-based architecture for approximate knowledge fusion?" Computer Science and Information Systems 7, nr 3 (2010): 617–42. http://dx.doi.org/10.2298/csis100209015d.
Pełny tekst źródłaEsteva, Francesc, Lluís Godo, Ricardo O. Rodríguez i Thomas Vetterlein. "Logics for approximate and strong entailments". Fuzzy Sets and Systems 197 (czerwiec 2012): 59–70. http://dx.doi.org/10.1016/j.fss.2011.09.005.
Pełny tekst źródłaLemström, Kjell, i Lauri Hella. "Approximate pattern matching and transitive closure logics". Theoretical Computer Science 299, nr 1-3 (kwiecień 2003): 387–412. http://dx.doi.org/10.1016/s0304-3975(02)00484-x.
Pełny tekst źródłaLiau, Churn-Jung. "Possibilistic Residuated Implication Logics with Applications". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 06, nr 04 (sierpień 1998): 365–85. http://dx.doi.org/10.1142/s0218488598000306.
Pełny tekst źródłaVetterlein, Thomas, Francesc Esteva i Lluís Godo. "Logics for Approximate Entailment in ordered universes of discourse". International Journal of Approximate Reasoning 71 (kwiecień 2016): 50–63. http://dx.doi.org/10.1016/j.ijar.2016.02.001.
Pełny tekst źródłaJiang, Yuncheng, Ju Wang, Suqin Tang i Bao Xiao. "Reasoning with rough description logics: An approximate concepts approach". Information Sciences 179, nr 5 (luty 2009): 600–612. http://dx.doi.org/10.1016/j.ins.2008.10.021.
Pełny tekst źródłaKrynicki, Michał. "A Note on Rough Concepts Logic". Fundamenta Informaticae 13, nr 2 (1.04.1990): 227–35. http://dx.doi.org/10.3233/fi-1990-13206.
Pełny tekst źródłaWhalen, Thomas, i Brian Schott. "Alternative logics for approximate reasoning in expert systems: a comparative study". International Journal of Man-Machine Studies 22, nr 3 (marzec 1985): 327–46. http://dx.doi.org/10.1016/s0020-7373(85)80007-9.
Pełny tekst źródłaFeng, Zhi-Qiang, i Cun-Gen Liu. "On vague logics and approximate reasoning based on vague linear transformation". International Journal of Systems Science 43, nr 9 (wrzesień 2012): 1591–602. http://dx.doi.org/10.1080/00207721.2010.549579.
Pełny tekst źródłaRozprawy doktorskie na temat "Approximate logics"
Rajaratnam, David Computer Science & Engineering Faculty of Engineering UNSW. "Logical approximation and compilation for resource-bounded reasoning". Publisher:University of New South Wales. Computer Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/41296.
Pełny tekst źródłaFernández, Gil Oliver. "Adding Threshold Concepts to the Description Logic EL". Doctoral thesis, Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-204523.
Pełny tekst źródłaCarbin, Michael (Michael James). "Logical reasoning for approximate and unreliable computation". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99813.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (pages 343-350).
Improving program performance and resilience are long-standing goals. Traditional approaches include a variety of transformation, compilation, and runtime techniques that share the common property that the resulting program has the same semantics as the original program. However, researchers have recently proposed a variety of new techniques that set aside this traditional restriction and instead exploit opportunities to change the semantics of programs to improve performance and resilience. Techniques include skipping portions of a program's computation, selecting different implementations of program's subcomputations, executing programs on unreliable hardware, and synthesizing values to enable programs to skip or execute through otherwise fatal errors. A major barrier to the acceptance these techniques in both the broader research community and in industrial practice is the challenge that the resulting programs may exhibit behaviors that differ from that of the original program, potentially jeopardizing the program's resilience, safety, and accuracy. This thesis presents the first general programming systems for precisely verifying and reasoning about the programs that result from these techniques. This thesis presents a programming language and program logic for verifying worst-case properties of a transformed program. Specifically the framework, enables verifying that a transformed program satisfies important assertions about its safety (e.g., that it does not access invalid memory) and accuracy (e.g., that it returns a result within a bounded distance of that of the original program). This thesis also presents a programming language and automated analysis for verifying a program's quantitative reliability - the probability the transformed program returns the same result as the original program - when executed on unreliable hardware. The results of this thesis, which include programming languages, program logics, program analysis, and applications thereof, present the first steps toward reaping the benefits of changing the semantics of programs in a beneficial yet principled way.
by Michael James Carbin.
Ph. D.
Weydert, Emil. "How to approximate the naive comprehension scheme inside of classical logic". Bonn : [s.n.], 1989. http://catalog.hathitrust.org/api/volumes/oclc/19990751.html.
Pełny tekst źródłaTaleb-Bendiab, Azzelarabe. "Logic programming for conceptual engineering design : selection process by approximate matching". Thesis, University of Liverpool, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316548.
Pełny tekst źródłaPerundurai, Rajasekaran Siddharthan. "Nonparametric Inverse Reinforcement Learning and Approximate Optimal Control with Temporal Logic Tasks". Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-theses/1205.
Pełny tekst źródłaMartins, Mayler Gama Alvarenga. "Applications of functional composition for CMOS and emerging technologies". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/164452.
Pełny tekst źródłaThe advances in semiconductor industry over the last decades have been strongly based on continuous scaling down of dimensions in manufactured CMOS devices. The use of CMOS devices profoundly relies on AND/OR/Inverter logic. As the CMOS scaling is reaching its physical limits, researchers increase the effort to prolong the CMOS life. Also, it is necessary to investigate alternative devices, which in many cases implies the use of different basic logic operations. As the commercial synthesis tools are not able to handle these technologies efficiently, there is an opportunity to research alternative logic implementations better suited for these new devices. This thesis focuses on presenting efficient algorithms to design circuits in both CMOS and new technologies while integrating these algorithms into regular design flows. For this task, we apply the functional composition technique, to efficiently synthesize both CMOS and emerging technologies. The functional composition is a bottom-up synthesis approach, providing flexibility to implement algorithms with optimal or suboptimal results for different technologies. To investigate how the functional composition compares to the state-of-the-art synthesis methods, we propose to apply this synthesis paradigm into six different scenarios. Two of them focus on CMOS-based circuits, and other four are based on emerging technologies. Regarding CMOSbased circuits, we investigate functional composition to investigate multi-output factorization in a circuit resynthesis flow. Also, we manipulate approximate functions to synthesize approximate triple modular redundancy (ATMR) modules. Concerning emerging technologies, we explore functional composition over spin-diode circuits and other promising approaches based on different logic implementations: threshold logic, majority logic, and implication logic. Results present a considerable improvement over the state-of-the-art methods for both CMOS and emerging technologies applications, demonstrating the ability to handle different technologies and showing the possibility to improve technologies not explored yet.
Chaoued, Nouha. "Représentation et traitement des connaissances en logique multivalente : cas d'une répartition non uniforme des degrés de vérité". Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS048/document.
Pełny tekst źródłaIn most daily activities, humans use imprecise information derived from appreciation instead of exact measurements to make decisions. Various approaches were proposed to deal with imperfect knowledge, in particular, fuzzy logic and multi-valued logic. In this work, we treat the particular case of imprecise knowledge.Taking into account imprecise knowledge by computer systems is based on their representation by means of linguistic variables. Their values form a set of words expressing the different nuances of the treated information. For example, to judge the beauty of the Mona Lisa or the smell of a flower, it is not possible to give an exact value but an appreciation is given by a term like "beautiful" or "floral".In the literature, dealing with imprecise information relies on an implicit assumption: the distribution of terms is uniform on a scale ranging from 0 to 1. Nevertheless, in some cases, a sub-domain of this scale may be more informative and may include more terms. In this case, knowledge are represented by means of an unbalanced terms set, that is, not uniformly nor symmetrically distributed.We have noticed, in the literature, that in the context of fuzzy logic many researchers have dealt with these term sets. However, it is not the case for multi-valued logic. Thereby, in our work, we aim to establish a methodology to represent and manage this kind of data in the context of multi-valued logic. Two aspects are treated. The first one concerns the representation of terms within an unbalanced multi-set. The second deals with the treatment of such kind of imprecise knowledge, i.e. with symbolic modifiers and in reasoning process.In this work, we focus on unbalanced sets in the context of multi-valued logic. Basing on our study of art, we propose new approaches to represent and treat such term sets. First of all, we introduce algorithms that allow representing unbalanced terms within uniform ones and the inverse way. Then, we describe a method to use linguistic modifiers within unbalanced multi-sets. Afterward, we present a reasoning approach based on the Generalized Modus Ponens model using Generalized Symbolic Modifiers. The proposed models are implemented in a novel rule-based decision system for the camphor odor recognition within unbalanced multi-set. We also develop a tool for child autism diagnosis by means of unbalanced severity degrees of the Childhood Autism Rating Scale (CARS)
Huster, Todd. "OWL query answering using machine learning". Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1446117806.
Pełny tekst źródłaDena, Ornelas Oscar S. "Fast approximate migration of ground penetrating radar using Kalman estimators and determination of the lithospheric structure of Lake Baikal, Russia". To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Pełny tekst źródłaKsiążki na temat "Approximate logics"
Elkan, Charles. Incremental, approximate planning: Preliminary report. Toronto: Computer Science Dept., University of Toronto, 1989.
Znajdź pełny tekst źródłaGerla, Giangiacomo. Fuzzy Logic: Mathematical Tools for Approximate Reasoning. Dordrecht: Springer Netherlands, 2001.
Znajdź pełny tekst źródłaFuzzy logic: Mathematical tools for approximate reasoning. Dordrecht: Kluwer Academic Publishers, 2001.
Znajdź pełny tekst źródłaFuzziness and approximate reasoning: Epistemics on uncertainty, expectation and risk in rational behavior. Berlin: Springer, 2009.
Znajdź pełny tekst źródłaRelander, Sami. Towards approximate reasoning on new software product company success potential estimation: A design science based fuzzy logic expert system. [Helsinki]: Helsinki School of Economics, 2008.
Znajdź pełny tekst źródłaJonathan, Barnes. Logic and the imperial Stoa. New York: Brill, 1997.
Znajdź pełny tekst źródłaCategories and logic in Duns Scotus: An interpretation of Aristotle's Categories in the late thirteenth century. Leiden: Brill, 2002.
Znajdź pełny tekst źródłaBorzyh, Stanislav. Theory of the possible. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1074108.
Pełny tekst źródłaGerla, G. Fuzzy Logic: Mathematical Tools for Approximate Reasoning. Springer, 2013.
Znajdź pełny tekst źródłaGerla, G. Fuzzy Logic: Mathematical Tools for Approximate Reasoning (Trends in Logic). Springer, 2001.
Znajdź pełny tekst źródłaCzęści książek na temat "Approximate logics"
Yadav, Nitin, i Sebastian Sardina. "Qualitative Approximate Behavior Composition". W Logics in Artificial Intelligence, 450–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33353-8_35.
Pełny tekst źródłaHájek, Petr. "On logics of approximate reasoning". W Knowledge Representation and Reasoning Under Uncertainty, 17–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58095-6_2.
Pełny tekst źródłaHájek, P. "On Logics of Approximate Reasoning II". W Proceedings of the ISSEK94 Workshop on Mathematical and Statistical Methods in Artificial Intelligence, 147–55. Vienna: Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-2690-5_10.
Pełny tekst źródłaGodo, Lluís. "Similarity-Based Logics for Approximate Entailments". W Quantitative Logic and Soft Computing 2016, 5–6. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46206-6_2.
Pełny tekst źródłaFinger, Marcelo, i Renata Wassermann. "Logics for Approximate Reasoning: Approximating Classical Logic “From Above”". W Advances in Artificial Intelligence, 21–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36127-8_3.
Pełny tekst źródłaBaader, Franz, Pavlos Marantidis i Alexander Okhotin. "Approximate Unification in the Description Logic $$\mathcal {FL}_0$$". W Logics in Artificial Intelligence, 49–63. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48758-8_4.
Pełny tekst źródłaMandal, Sudin, Namrata Bhattacharyya i Swapan Raha. "Approximate Reasoning Under Type-2 Fuzzy Logics". W Springer Proceedings in Mathematics & Statistics, 87–97. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2301-6_7.
Pełny tekst źródłaDarwiche, Adnan. "Relax, Compensate and Then Recover: A Theory of Anytime, Approximate Inference". W Logics in Artificial Intelligence, 7–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15675-5_2.
Pełny tekst źródłaHashemi, Soheil, Hokchhay Tann i Sherief Reda. "Approximate Logic Synthesis Using Boolean Matrix Factorization". W Approximate Circuits, 141–54. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99322-5_7.
Pełny tekst źródłaGerla, Giangiacomo. "Approximate Reasoning". W Fuzzy Logic, 69–87. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9660-2_4.
Pełny tekst źródłaStreszczenia konferencji na temat "Approximate logics"
Liu, Gai, i Zhiru Zhang. "Statistically certified approximate logic synthesis". W 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD). IEEE, 2017. http://dx.doi.org/10.1109/iccad.2017.8203798.
Pełny tekst źródłaBernasconi, Anna, Valentina Ciriani i Tiziano Villa. "Approximate Logic Synthesis by Symmetrization". W 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2019. http://dx.doi.org/10.23919/date.2019.8715286.
Pełny tekst źródłaMeng, Chang, Weikang Qian i Alan Mishchenko. "ALSRAC: Approximate Logic Synthesis by Resubstitution with Approximate Care Set". W 2020 57th ACM/IEEE Design Automation Conference (DAC). IEEE, 2020. http://dx.doi.org/10.1109/dac18072.2020.9218627.
Pełny tekst źródłavan Bremen, Timothy, i Ondrej Kuzelka. "Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry". W Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/587.
Pełny tekst źródłaHenzinger, Thomas A., i N. Ege Sarac. "Quantitative and Approximate Monitoring". W 2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS). IEEE, 2021. http://dx.doi.org/10.1109/lics52264.2021.9470547.
Pełny tekst źródłaYang, Yu-Shen, Subarna Sinha, Andreas Veneris i Robert K. Brayton. "Automating Logic Rectification by Approximate SPFDs". W 2007 Asia and South Pacific Design Automation Conference. IEEE, 2007. http://dx.doi.org/10.1109/aspdac.2007.358019.
Pełny tekst źródłaYang, Y. S., S. Sinha, A. Veneris, R. K. Brayton i D. Smith. "Sequential logic rectifications with approximate SPFDs". W 2009 Design, Automation & Test in Europe Conference & Exhibition (DATE'09). IEEE, 2009. http://dx.doi.org/10.1109/date.2009.5090936.
Pełny tekst źródłayin, Hao-kai, i Yin-shui Xia. "Approximate logic optimization for ISFPRM function". W 2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT). IEEE, 2018. http://dx.doi.org/10.1109/icsict.2018.8564851.
Pełny tekst źródłaTaylor, Julia M., i Lawrence J. Mazlack. "Description Logic-Based Approximate Joke Comparison". W 2006 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, 2006. http://dx.doi.org/10.1109/nafips.2006.365428.
Pełny tekst źródłaYao, Yue, Shuyang Huang, Chen Wang, Yi Wu i Weikang Qian. "Approximate Disjoint Bi-Decomposition and Its Application to Approximate Logic Synthesis". W 2017 IEEE 35th International Conference on Computer Design (ICCD). IEEE, 2017. http://dx.doi.org/10.1109/iccd.2017.90.
Pełny tekst źródłaRaporty organizacyjne na temat "Approximate logics"
Schwartz, Daniel. Approximate reasoning, logics for self-reference, and the use of nonclassical logics in systems modeling. Portland State University Library, styczeń 2000. http://dx.doi.org/10.15760/etd.591.
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