Search Results - Single logical and abstract algorithm, data and program scheme

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    Learning any memory-less discrete semantics for dynamical systems represented by logic programs by Ribeiro, Tony, Folschette, Maxime, Magnin, Morgan, Inoue, Katsumi

    ISSN: 0885-6125, 1573-0565
    Published: New York Springer US 01.10.2022
    Published in Machine learning (01.10.2022)
    “… However, other dynamics exist in the field of logical modeling, in particular the asynchronous semantics which is widely used to model biological systems…”
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    Journal Article
  3. 3

    Survivable lightpath routing: a new approach to the design of WDM-based networks by Modiano, E., Narula-Tam, A.

    ISSN: 0733-8716, 1558-0008
    Published: New York IEEE 01.05.2002
    “… We call such a routing survivable and develop algorithms for survivable routing of a logical topology…”
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    Journal Article
  4. 4

    A dynamic voting scheme in distributed systems by Davcev, D.

    ISSN: 0098-5589, 1939-3520
    Published: New York IEEE 01.01.1989
    Published in IEEE transactions on software engineering (01.01.1989)
    “…A dynamic weighted voting scheme for consistency and recovery control of replicated files in distributed systems is presented…”
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    Journal Article
  5. 5

    Cooperative and competitive concurrency in scientific computing. A full open-source upgrade of the program for dynamical calculations of RHEED intensity oscillations by Daniluk, Andrzej

    ISSN: 0010-4655, 1879-2944, 1386-9485
    Published: Elsevier B.V 01.06.2011
    Published in Computer physics communications (01.06.2011)
    “…A computational model is a computer program, which attempts to simulate an abstract model of a particular system…”
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    Journal Article
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    A Design of Autonomous Error-Tolerant Architectures for Massively Parallel Computing by Liu, Lizheng, Jin, Yi, Liu, Yi, Ma, Ning, Huan, Yuxiang, Zou, Zhuo, Zheng, Lirong

    ISSN: 1063-8210, 1557-9999, 1557-9999
    Published: New York IEEE 01.10.2018
    “… A nearby error sensing mechanism is designed to discover faults, and an active evolution scheme is studied to handle unrecoverable errors…”
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    A Study of Two Sampling Methods for Analyzing Large Datasets with ILP by Srinivasan, Ashwin

    ISSN: 1384-5810, 1573-756X
    Published: New York Springer Nature B.V 01.03.1999
    Published in Data mining and knowledge discovery (01.03.1999)
    “… We examine two schemes that allow an ILP system to construct theories by sampling from this large pool of data…”
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    Journal Article