Search Results - Semantics of Programming Languages— program analysis General Terms Algorithms~

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  1. 1

    The theory and practice of semantic program analysis for higher-order functional programming languages by Young, Jonathan Hood

    ISBN: 9798207515601
    Published: ProQuest Dissertations & Theses 01.01.1989
    “… Like many other lazy languages, a significant overhead is incurred in order to preserve the lazy semantics of the language…”
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    Dissertation
  2. 2

    From source code identifiers to natural language terms by Carvalho, Nuno Ramos, Almeida, José João, Henriques, Pedro Rangel, Varanda, Maria João

    ISSN: 0164-1212, 1873-1228
    Published: New York Elsevier Inc 01.02.2015
    Published in The Journal of systems and software (01.02.2015)
    “… Most programming languages enforce some constrains on identifiers strings (e.g., white spaces or commas are not allowed…”
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    Journal Article
  3. 3

    Improving the modularization quality of heterogeneous multi-programming software systems by unifying structural and semantic concepts by Kargar, Masoud, Isazadeh, Ayaz, Izadkhah, Habib

    ISSN: 0920-8542, 1573-0484
    Published: New York Springer US 01.01.2020
    Published in The Journal of supercomputing (01.01.2020)
    “… Taking into account all the programming languages used to implement a program, in the literature, there is no…”
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    Journal Article
  4. 4

    Dynamic type inference for gradual Hindley–Milner typing by Miyazaki, Yusuke, Sekiyama, Taro, Igarashi, Atsushi

    ISSN: 2475-1421, 2475-1421
    Published: New York, NY, USA ACM 02.01.2019
    “…Garcia and Cimini study a type inference problem for the ITGL, an implicitly and gradually typed language with let-polymorphism, and develop a sound and complete inference algorithm…”
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    Journal Article
  5. 5

    Towards verified stochastic variational inference for probabilistic programs by Lee, Wonyeol, Yu, Hangyeol, Rival, Xavier, Yang, Hongseok

    ISSN: 2475-1421, 2475-1421
    Published: ACM 01.01.2020
    “…Probabilistic programming is the idea of writing models from statistics and machine learning using program notations and reasoning about these models using generic inference engines…”
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    Journal Article
  6. 6

    Applied Supervised Learning with R: Use Machine Learning Libraries of R to Build Models That Solve Business Problems and Predict Future Trends by Ramasubramanian, Karthik, Moolayil, Jojo

    ISBN: 9781838556334, 1838556338
    Published: Birmingham Packt Publishing, Limited 2019
    “…Applied Supervised Learning with R will make you a pro at identifying your business problem, selecting the best supervised machine learning algorithm to solve it, and fine-tuning your model to exactly…”
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    eBook
  7. 7

    Robust log anomaly detection based on contrastive learning and multi-scale MASS by Wang, Xuejie, Cao, Qilei, Wang, Qiaozheng, Cao, Zhiying, Zhang, Xiuguo, Wang, Peipeng

    ISSN: 0920-8542, 1573-0484
    Published: New York Springer US 01.11.2022
    Published in The Journal of supercomputing (01.11.2022)
    “… Analyzing logs for anomaly detection can improve service quality. At present, although machine learning algorithms for anomaly detection can achieve high accuracy, they lack robustness…”
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    Journal Article
  8. 8

    Deriving a Slicing Algorithm via FermaT Transformations by Ward, M P, Zedan, H

    ISSN: 0098-5589, 1939-3520
    Published: New York IEEE 01.01.2011
    Published in IEEE transactions on software engineering (01.01.2011)
    “… We develop a formal specification for program slicing in the form of a WSL specification statement which is refined into a simple slicing algorithm by applying a sequence of general purpose program…”
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    Journal Article
  9. 9

    A syntax-guided multi-task learning approach for Turducken-style code generation by Yang, Guang, Zhou, Yu, Chen, Xiang, Zhang, Xiangyu, Xu, Yiran, Han, Tingting, Chen, Taolue

    ISSN: 1382-3256, 1573-7616
    Published: New York Springer US 01.11.2023
    “…Due to the development of pre-trained language models, automated code generation techniques have shown great promise in recent years…”
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    Journal Article
  10. 10

    Quantum loop programs by Ying, Mingsheng, Feng, Yuan

    ISSN: 0001-5903, 1432-0525
    Published: Berlin/Heidelberg Springer-Verlag 01.06.2010
    Published in Acta informatica (01.06.2010)
    “…Loop is a powerful program construct in classical computation, but its power is still not exploited fully in quantum computation…”
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    Journal Article
  11. 11
  12. 12

    Fusion of parallel array operations by Kristensen, Mads R. B., Lund, Simon A. F., Blum, Troels, Avery, James

    Published: ACM 01.09.2016
    “… We formulate the problem as a partitioning problem (WSP) that is general enough to handle loop fusion, combinator fusion, and other types of fusion analysis…”
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    Conference Proceeding
  13. 13

    Machine learning in python: essential techniques for predictive analysis by Bowles, Michael

    ISBN: 9781118961742, 1118961765, 9781118961766, 1118961749, 9781118961759, 1118961757
    Published: Somerset Wiley 2015
    “… with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice…”
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    eBook
  14. 14

    Approximations in Probabilistic Programs by Sharma, Ekansh, Roy, Daniel M

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 14.12.2019
    Published in arXiv.org (14.12.2019)
    “…We study the first-order probabilistic programming language introduced by Staton et al. (2016…”
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    Paper
  15. 15

    Advanced service trading for scientific computing over the grid by Hurault, Aurélie, Daydé, Michel, Pantel, Marc

    ISSN: 0920-8542, 1573-0484
    Published: Boston Springer US 01.07.2009
    Published in The Journal of supercomputing (01.07.2009)
    “…One of the great benefits of computational grids is to give access to a wide range of scientific software and computers with different architectures. It is…”
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    Journal Article
  16. 16

    Type-specialized staged programming with process separation by Liu, Yu David, Skalka, Christian, Smith, Scott F.

    ISSN: 1388-3690, 1573-0557
    Published: Boston Springer US 01.11.2011
    Published in Higher-Order and Symbolic Computation (01.11.2011)
    “…Staging is a powerful language construct that allows a program at one stage of evaluation to manipulate and specialize a program to be executed at a later stage…”
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    Journal Article
  17. 17

    Synthesising Interprocedural Bit-Precise Termination Proofs (T) by Hong-Yi Chen, David, Cristina, Kroening, Daniel, Schrammel, Peter, Wachter, Bjorn

    Published: IEEE 01.11.2015
    “… has focussed on difficult single-procedure problems. We present a modular termination analysis for C programs using template-based interprocedural summarisation…”
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    Conference Proceeding
  18. 18

    Translation of Algebraic Programs into Executable Codes by Goncharov, S. V., Rudich, A. Ye

    ISSN: 1060-0396, 1573-8337
    Published: New York Springer Nature B.V 01.09.2005
    Published in Cybernetics and systems analysis (01.09.2005)
    “… In particular, an algorithm for translation of algebraic programs represented in the language Aplan into C codes is proposed…”
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    Journal Article
  19. 19

    Source-tracking unification by Choppella, Venkatesh, Haynes, Christopher T.

    ISSN: 0890-5401, 1090-2651
    Published: San Diego, CA Elsevier Inc 01.01.2003
    Published in Information and computation (01.01.2003)
    “… The objects of source-tracking are deductions in the logic of term unification. The semantics of deductions are paths over a unification graph whose labels form the suffix language of a semi-Dyck set…”
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    Journal Article
  20. 20

    Granular Computing: Analysis and Design of Intelligent Systems by Pedrycz, Witold

    ISBN: 1439886873, 9781439886878, 9781138074491, 1138074497, 9781439886816, 1439886814
    Published: United States CRC Press 2013
    “…Granular computing focuses on formalizing information granules and unifying them to create a coherent methodological and developmental environment for intelligent system design and analysis…”
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    eBook