Search Results - knowledge testing algorithm

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  1. 1

    A knowledge-based multi-agent evolutionary algorithm for semiconductor final testing scheduling problem by Wang, Shengyao, Wang, Ling

    ISSN: 0950-7051, 1872-7409
    Published: Elsevier B.V 01.08.2015
    Published in Knowledge-based systems (01.08.2015)
    “… In this paper, an effective knowledge-based multi-agent evolutionary algorithm (KMEA) is proposed for solving the semiconductor final testing scheduling problem (SFTSP…”
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    Journal Article
  2. 2

    Evaluating Knowledge Structure-based Adaptive Testing Algorithms and System Development by Wu, Huey-Min, Kuo, Bor-Chen, Yang, Jinn-Min

    ISSN: 1176-3647, 1436-4522, 1436-4522
    Published: Palmerston North International Forum of Educational Technology & Society 01.04.2012
    Published in Educational Technology & Society (01.04.2012)
    “… Nevertheless, it remains a challenging issue to find an adaptive testing algorithm to both shorten testing time and precisely diagnose the knowledge status of students…”
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    Journal Article
  3. 3

    Integration of a recent infection testing algorithm into HIV surveillance in Ireland: improving HIV knowledge to target prevention by Robinson, E., Moran, J., O'Donnell, K., Hassan, J., Tuite, H., Ennis, O., Cooney, F., Nugent, E., Preston, L., O'Dea, S., Doyle, S., Keating, S., Connell, J., De Gascun, C., Igoe, D.

    ISSN: 0950-2688, 1469-4409, 1469-4409
    Published: England Cambridge University Press 01.01.2019
    Published in Epidemiology and infection (01.01.2019)
    “…Recent infection testing algorithms (RITA) for HIV combine serological assays with epidemiological data to determine likely recent infections, indicators of ongoing transmission…”
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    Journal Article
  4. 4

    Knowledge-enhanced multidimensional estimation of distribution hyper-heuristic evolutionary algorithm for semiconductor final testing scheduling problem by Zhang, Zi-Qi, Qiu, Xing-Han, Qian, Bin, Hu, Rong, Wang, Ling, Yang, Jian-Bo

    ISSN: 0957-4174
    Published: Elsevier Ltd 15.01.2025
    Published in Expert systems with applications (15.01.2025)
    “… enterprises. This article introduces the knowledge-enhanced multidimensional estimation of distribution hyper-heuristic evolutionary algorithm (KMEDHEA…”
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    Journal Article
  5. 5

    Acceptance testing of a CT scanner with a knowledge-based iterative reconstruction algorithm by Medina, Maryangel Jhoseline, Funes, Francisco Javier, Palau, Aley, Sanz, Vanesa María, Osorio, Amilcar Remigio, Namías, Mauro

    ISSN: 2319-0612, 2319-0612
    Published: Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR) 28.01.2019
    Published in Brazilian Journal of Radiation Sciences (28.01.2019)
    “… images while minimizing absorbed dose to the patients, in consonance with the ALARA criterion. In this work, we present the results of the acceptance testing of a Philips iCT Elite scanner with the IMR reconstruction algorithm…”
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    Journal Article
  6. 6

    Test Case Reuse Based on Software Testing Knowledge Graph and Collaborative Filtering Recommendation Algorithm by Yang, Wansheng, Deng, Fei, Ma, Siyou, Wu, Linbo, Sun, Zhe, Hu, Chi

    ISSN: 2693-9371
    Published: IEEE 01.12.2021
    “… In this paper, an ontology model based on the software testing process is applied to establish a software testing knowledge graph, which serves as the foundation to build an recommendation system…”
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    Conference Proceeding
  7. 7

    Design and Implementation of Sports Fitness Testing Equipment Based on Knowledge Graph Structure Optimization Algorithm by Kong, Fanrong, Li, Guangpeng, Zhou, Hengchao

    Published: IEEE 28.07.2023
    “… of sports quality measurement equipment based on knowledge graph structure optimization algorithms, aiming to improve accuracy through better design…”
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    Conference Proceeding
  8. 8

    A meta-learning approach for selecting image segmentation algorithm by Aguiar, Gabriel Jonas, Mantovani, Rafael Gomes, Mastelini, Saulo M., de Carvalho, André C.P.F.L., Campos, Gabriel F.C., Junior, Sylvio Barbon

    ISSN: 0167-8655, 1872-7344
    Published: Amsterdam Elsevier B.V 01.12.2019
    Published in Pattern recognition letters (01.12.2019)
    “… The selection of the most suitable algorithm usually occurs by testing every possible algorithm or using knowledge from previous problems…”
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    Journal Article
  9. 9

    A novel fruit fly optimization algorithm for the semiconductor final testing scheduling problem by Zheng, Xiao-long, Wang, Ling, Wang, Sheng-yao

    ISSN: 0950-7051, 1872-7409
    Published: Elsevier B.V 01.02.2014
    Published in Knowledge-based systems (01.02.2014)
    “… In this paper, a novel fruit fly optimization algorithm (nFOA) is proposed to solve the semiconductor final testing scheduling problem (SFTSP…”
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    Journal Article
  10. 10

    How well do contemporary knowledge tracing algorithms predict the knowledge carried out of a digital learning game? by Scruggs, Richard, Baker, Ryan S., Pavlik, Philip I., McLaren, Bruce M., Liu, Ziyang

    ISSN: 1042-1629, 1556-6501
    Published: New York Springer US 01.06.2023
    “…Despite considerable advances in knowledge tracing algorithms, educational technologies that use this technology typically continue to use older algorithms, such as Bayesian Knowledge Tracing…”
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    Journal Article Publication
  11. 11

    A novel and powerful hybrid classifier method: Development and testing of heuristic k-nn algorithm with fuzzy distance metric by Kahraman, Hamdi Tolga

    ISSN: 0169-023X, 1872-6933
    Published: Elsevier B.V 01.05.2016
    Published in Data & knowledge engineering (01.05.2016)
    “…Weight-tuning methods and distance metrics have a significant impact on the k-nearest neighbor-based classification. A major challenge is the issue of how to…”
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    Journal Article
  12. 12

    A new feature selection algorithm based on binomial hypothesis testing for spam filtering by Yang, Jieming, Liu, Yuanning, Liu, Zhen, Zhu, Xiaodong, Zhang, Xiaoxu

    ISSN: 0950-7051, 1872-7409
    Published: Elsevier B.V 01.08.2011
    Published in Knowledge-Based Systems (01.08.2011)
    “… testing to estimate whether the probability of a feature belonging to the spam satisfies a given threshold…”
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    Journal Article
  13. 13

    Successful demand management in diagnostic immunology testing by Lilly, Kristen, Proudlove, Nathan, Bethune, Claire

    ISSN: 0021-9746, 1472-4146, 1472-4146
    Published: England BMJ Publishing Group Ltd and Association of Clinical Pathologists 01.04.2024
    Published in Journal of clinical pathology (01.04.2024)
    “… Consultation with general practitioners revealed lack of knowledge and confidence about testing, and an appetite for support…”
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    Journal Article
  14. 14

    ATS-PD: An Adaptive Testing System for Psychological Disorders by Donadello, Ivan, Spoto, Andrea, Sambo, Francesco, Badaloni, Silvana, Granziol, Umberto, Vidotto, Giulio

    ISSN: 0013-1644, 1552-3888, 1552-3888
    Published: Los Angeles, CA SAGE Publications 01.10.2017
    Published in Educational and psychological measurement (01.10.2017)
    “… as the “formal psychological assessment,” with an algorithm designed for the adaptive assessment of an individual’s knowledge…”
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    Journal Article
  15. 15

    Genetics of dementia: Update and guidelines for the clinician by Cohn-Hokke, Petra E., Elting, Mariet W., Pijnenburg, Yolande A.L., van Swieten, John C.

    ISSN: 1552-4841, 1552-485X, 1552-485X
    Published: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.09.2012
    “…With increased frequency, clinical geneticists are asked for genetic advice on the heredity of dementia in families. Alzheimer's disease is in most cases a…”
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    Journal Article
  16. 16

    KNODWAT: A scientific framework application for testing knowledge discovery methods for the biomedical domain by Holzinger, Andreas, Zupan, Mario

    ISSN: 1471-2105, 1471-2105
    Published: London BioMed Central 13.06.2013
    Published in BMC bioinformatics (13.06.2013)
    “… Developing methods to assist professional end users in the field of Knowledge Discovery to identify, extract, visualize and understand useful information from these huge amounts of data is a huge challenge…”
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    Journal Article
  17. 17

    Current Trends in Donor Testing to Detect Syphilis Infection by Cortez, Karoll J., Greenwald, Melissa A.

    ISSN: 1523-3847, 1534-3146
    Published: Boston Springer US 01.09.2014
    Published in Current infectious disease reports (01.09.2014)
    “… Knowledge of the common syphilis-testing algorithms used in clinical diagnostic testing is useful for assay selection in the organ and tissue donor setting…”
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    Journal Article
  18. 18

    New Knowledge-based Genetic Algorithm for Excavator Boom Structural Optimization by Hua, Haiyan, Lin, Shuwen

    ISSN: 1000-9345, 2192-8258
    Published: Beijing Chinese Mechanical Engineering Society 01.03.2014
    Published in Chinese journal of mechanical engineering (01.03.2014)
    “…Due to the insufficiency of utilizing knowledge to guide the complex optimal searching, existing genetic algorithms fail to effectively solve excavator boom structural optimization problem…”
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    Journal Article
  19. 19

    Canadian Public Health Laboratory Network national syphilis in-laboratory serological testing recommendations by Morshed, Muhammad, Vallée, Maud, Zhou, Hong Yuan, Hasso, Maan, Stein, Derek, Tran, Vanessa, Regmi, Ayushi, Singh, Ameeta E, Hayden, Kristy, Jindal, Sapan, Hatchette, Todd F

    ISSN: 2371-0888, 2371-0888
    Published: Canada University of Toronto Press 01.06.2025
    “…Syphilis, caused by the bacterium Treponema pallidum, is a centuries-old sexually transmitted disease that continues to be a significant global health concern…”
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    Journal Article
  20. 20

    An Extensive-form Game Paradigm for Visual Field Testing via Deep Reinforcement Learning by Ma, Rui, Tao, Yudong, Khodeiry, Mohamed M., Liu, Xiangxiang, Mendoza, Ximena, Liu, Yuan, Shyu, Mei-Ling, Lee, Richard K.

    ISSN: 0018-9294, 1558-2531, 1558-2531
    Published: United States IEEE 01.02.2024
    “… Different visual field testing algorithms have been developed to shorten testing time while maintaining accuracy…”
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    Journal Article