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Artículos de revistas sobre el tema "Incomplete approaches"

Autor: Grafiati

Publicado: 6 de julio de 2024

Última modificación: 31 de julio de 2025

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1

Ansótegui, Carlos, Felip Manyà, Jesus Ojeda, Josep M. Salvia, and Eduard Torres. "Incomplete MaxSAT approaches for combinatorial testing." Journal of Heuristics 28, no. 4 (2022): 377–431. http://dx.doi.org/10.1007/s10732-022-09495-3.

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AbstractWe present a Satisfiability (SAT)-based approach for building Mixed Covering Arrays with Constraints of minimum length, referred to as the Covering Array Number problem. This problem is central in Combinatorial Testing for the detection of system failures. In particular, we show how to apply Maximum Satisfiability (MaxSAT) technology by describing efficient encodings for different classes of complete and incomplete MaxSAT solvers to compute optimal and suboptimal solutions, respectively. Similarly, we show how to solve through MaxSAT technology a closely related problem, the Tuple Numb

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2

Putnam, Michael T., and Liliana Sánchez. "What’s so incomplete about incomplete acquisition?" Linguistic Approaches to Bilingualism 3, no. 4 (2013): 478–508. http://dx.doi.org/10.1075/lab.3.4.04put.

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Modeling the competence grammar of heritage speakers who exhibit low proficiency in their L1 represents a significant challenge for generative and experimental approaches to bilingual linguistic research. In this paper we revisit the core tenets of the incomplete acquisition hypothesis as developed in recent scholarship (in particular by Montrul (2002 et seq.) and Polinsky (1997, 2006)). Although we adopt many of these fundamental aspects of this research program, in this article we develop an alternative model that provides a more accurate depiction of the process that leads to what these sch

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3

Erikson, Truls, and Mirjam Knockaert. "Negotiating incomplete contracts." Journal of Strategic Contracting and Negotiation 5, no. 3 (2021): 153–69. http://dx.doi.org/10.1177/20555636211042093.

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When planning is possible, as in predictive environments, comprehensive contracting is not only desirable, but also useful. However, under conditions of fundamental uncertainty, as is the case in non-predictive environments, incomplete contracting approaches likely prevail. In this study, we explore how trust in such environments affects the way in which venturing professionals negotiate, and how the outcome subsequently manifests itself in the negotiated agreement. In particular, building upon a sample of Norwegian firms, we find that stewardship relationships are more prone to incomplete con

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4

Li, Zhaowen, Shimin Liao, Liangdong Qu, and Yan Song. "Attribute selection approaches for incomplete interval-value data." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 8775–92. http://dx.doi.org/10.3233/jifs-200394.

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Attribute selection in an information system (IS) is an important issue when dealing with a large amount of data. An IS with incomplete interval-value data is called an incomplete interval-valued information system (IIVIS). This paper proposes attribute selection approaches for an IIVIS. Firstly, the similarity degree between two information values of a given attribute in an IIVIS is proposed. Then, the tolerance relation on the object set with respect to a given attribute subset is obtained. Next, θ-reduction in an IIVIS is studied. What is more, connections between the proposed reduction and

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5

Timm, Heiko, Christian Döring, and Rudolf Kruse. "Different approaches to fuzzy clustering of incomplete datasets." International Journal of Approximate Reasoning 35, no. 3 (2004): 239–49. http://dx.doi.org/10.1016/j.ijar.2003.08.004.

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6

Kim, Seung-Jun, Young-hwan Lee, and Kwang Y. Lee. "Robust Subspace Approaches for Analyzing Incomplete Synchrophasor Measurements." IFAC-PapersOnLine 48, no. 30 (2015): 120–25. http://dx.doi.org/10.1016/j.ifacol.2015.12.364.

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7

Zou, Yan, and Zhi Xiao. "Data analysis approaches of soft sets under incomplete information." Knowledge-Based Systems 21, no. 8 (2008): 941–45. http://dx.doi.org/10.1016/j.knosys.2008.04.004.

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8

Sarabando, Paula, Luís C. Dias, and Rudolf Vetschera. "Mediation with Incomplete Information: Approaches to Suggest Potential Agreements." Group Decision and Negotiation 22, no. 3 (2012): 561–97. http://dx.doi.org/10.1007/s10726-012-9283-9.

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9

Rueda, David Rodríguez, Carlos Cotta, and Antonio J. Fernández-Leiva. "Memetic collaborative approaches for finding balanced incomplete block designs." Computers & Operations Research 114 (February 2020): 104804. http://dx.doi.org/10.1016/j.cor.2019.104804.

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10

Yan, Tao, and Chongzhao Han. "A Novel Approach of Rough Conditional Entropy-Based Attribute Selection for Incomplete Decision System." Mathematical Problems in Engineering 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/728923.

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Pawlak's classical rough set theory has been applied in analyzing ordinary information systems and decision systems. However, few studies have been carried out on the attribute selection problem in incomplete decision systems because of its complexity. It is therefore necessary to investigate effective algorithms to deal with this issue. In this paper, a new rough conditional entropy-based uncertainty measure is introduced to evaluate the significance of subsets of attributes in incomplete decision systems. Furthermore, some important properties of rough conditional entropy are derived and thr

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11

Liu, Yaya, Keyun Qin, Chang Rao, and Mahamuda Alhaji Mahamadu. "Object–Parameter Approaches to Predicting Unknown Data in an Incomplete Fuzzy Soft Set." International Journal of Applied Mathematics and Computer Science 27, no. 1 (2017): 157–67. http://dx.doi.org/10.1515/amcs-2017-0011.

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Abstract The research on incomplete fuzzy soft sets is an integral part of the research on fuzzy soft sets and has been initiated recently. In this work, we first point out that an existing approach to predicting unknown data in an incomplete fuzzy soft set suffers from some limitations and then we propose an improved method. The hidden information between both objects and parameters revealed in our approach is more comprehensive. Furthermore, based on the similarity measures of fuzzy sets, a new adjustable object-parameter approach is proposed to predict unknown data in incomplete fuzzy soft

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12

Goldfarb, David S. "Refining Diagnostic Approaches in Nephrolithiasis: Incomplete Distal Renal Tubular Acidosis." Clinical Journal of the American Society of Nephrology 12, no. 9 (2017): 1380–82. http://dx.doi.org/10.2215/cjn.07160717.

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13

Pratibha, Gaur. "Bio-informatics approaches in liver disease: Incomplete without experimental validation." Archives of Hepatitis Research 8, no. 1 (2022): 012–13. http://dx.doi.org/10.17352/ahr.000033.

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In the search for the treatment of hepatic diseases, multiple approaches have been used frequently such as bioinformatics and algorithm-based systems biology for the screening of already published data that leads to the identification of promising drug candidates at molecular levels. These studies provide a large data set of information and claim to identify many genes, which could be targeted for the cure. However, it is important to note that the identified compounds are only predictions and the potential of these suggested molecules or genes should be well confirmed by adopting robust and c

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14

Van Steen, K., N. M. Laird, P. Markel, and G. Molenberghs. "Approaches to Handling Incomplete Data in Family-based Association Testing." Annals of Human Genetics 71, no. 2 (2007): 141–51. http://dx.doi.org/10.1111/j.1469-1809.2006.00325.x.

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15

Yan, Tao, and Chong Zhao Han. "A Novel Approach Based on Rough Conditional Entropy for Attribute Reduction." Applied Mechanics and Materials 644-650 (September 2014): 1607–19. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1607.

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Z. Pawlak’s rough set theory has been widely applied in analyzing ordinary information systems and decision tables. While few studies have been conducted on attribute selection problem in incomplete decision systems because of its complexity. Therefore, it is necessary to investigate effective algorithms to tackle this issue. In this paper, In this paper, a new rough conditional entropy based uncertainty measure is introduced to evaluate the significance of subsets of attributes in incomplete decision systems. Moreover, some important properties of rough conditional entropy are derived and thr

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16

Shishkina, T. Yu, and V. B. Aksenova. "Ultrasound diagnosis of interstitial ectopic pregnancy. Current approaches." Voprosy ginekologii, akušerstva i perinatologii 21, no. 1 (2022): 144–49. http://dx.doi.org/10.20953/1726-1678-2022-1-144-149.

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The analysis of ultrasound elastography and three-dimensional (3D) ultrasound imaging of suspected pregnancy in the interstitial part of the fallopian tube in three patients is presented. The following diagnoses were confirmed: interstitial pregnancy; first identified myomatous node with impaired trophism in the interstitial part of the fallopian tube in combination with menstrual disorders; incomplete miscarriage combined with a presence of myomatous node in the interstitial part of the fallopian tube simulating ectopic nidation. According to elastography, both the fertilized egg and myomatou

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17

Auchmuty, Rosemary. "Feminist Approaches to Sexuality and Law Scholarship." Legal Information Management 15, no. 1 (2015): 4–7. http://dx.doi.org/10.1017/s1472669615000055.

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AbstractSexuality and Law scholarship is a new and developing field but, like most legal scholarship, it is dominated by masculine concerns and methodologies. This article, by Rosemary Auchmuty, explains why research that ignores feminist concerns and methodologies will be incomplete and inaccurate, and suggests questions that should be asked of resources to ensure a complete and accurate coverage of the topic.

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18

Zimmerman, D. C., S. W. Smith, H. M. Kim, and T. J. Bartkowicz. "An Experimental Study of Structural Health Monitoring Using Incomplete Measurements." Journal of Vibration and Acoustics 118, no. 4 (1996): 543–50. http://dx.doi.org/10.1115/1.2888333.

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In this paper, algorithmic approaches to enhance structural health monitoring capability when faced with incomplete measurements are addressed. The incomplete measurement problem has two aspects: (i) experimental measurement of a lesser number of modes of vibration than that of the analytical model and (ii) experimental measurement of a lesser number of degrees of freedom than that of the analytical model. Studies comparing model reduction, eigenvector expansion, and a hybrid model reduction/eigenvector expansion to address the second contribution are performed using experimental data. These a

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19

Öztürk, Cihat, Gülfem Tuzkaya, and Serol Bulkan. "Centrality based solution approaches for median-type incomplete hub location problems." Computers & Industrial Engineering 156 (June 2021): 107275. http://dx.doi.org/10.1016/j.cie.2021.107275.

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20

Glebova, P. A. "Approaches to Calculating Loads on Interchamber Pillars under Incomplete Undermined Conditions." Journal of Physics: Conference Series 1945, no. 1 (2021): 012008. http://dx.doi.org/10.1088/1742-6596/1945/1/012008.

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21

Granberg-Rademacker, J. Scott. "A Comparison of Three Approaches to Handling Incomplete State-Level Data." State Politics & Policy Quarterly 7, no. 3 (2007): 325–38. http://dx.doi.org/10.1177/153244000700700306.

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This article compares three approaches to handling missing data at the state level under three distinct conditions. Using Monte Carlo simulation experiments, I compare the results from a linear model using listwise deletion (LD), Markov Chain Monte Carlo with the Gibbs sampler algorithm (MCMC), and multiple imputation by chained equations (MICE) as approaches to dealing with different severity levels of missing data: missing completely at random (MCAR), missing at random (MAR), and nonignorable missingness (NI). I compare the results from each of these approaches under each condition for missi

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22

Heath, David, Eckhard Platen, and Martin Schweizer. "A Comparison of Two Quadratic Approaches to Hedging in Incomplete Markets." Mathematical Finance 11, no. 4 (2001): 385–413. http://dx.doi.org/10.1111/1467-9965.00122.

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23

Ikeme, Jekwu. "Equity, environmental justice and sustainability: incomplete approaches in climate change politics." Global Environmental Change 13, no. 3 (2003): 195–206. http://dx.doi.org/10.1016/s0959-3780(03)00047-5.

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24

Tang, Xiao-Song, Dian-Qing Li, Chuang-Bing Zhou, and Kok-Kwang Phoon. "Copula-based approaches for evaluating slope reliability under incomplete probability information." Structural Safety 52 (January 2015): 90–99. http://dx.doi.org/10.1016/j.strusafe.2014.09.007.

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25

Zeng, Yifu, Kenli Li, Shui Yu, Yantao Zhou, and Keqin Li. "Parallel and Progressive Approaches for Skyline Query Over Probabilistic Incomplete Database." IEEE Access 6 (2018): 13289–301. http://dx.doi.org/10.1109/access.2018.2806379.

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26

Vetschera, Rudolf. "Deriving rankings from incomplete preference information: A comparison of different approaches." European Journal of Operational Research 258, no. 1 (2017): 244–53. http://dx.doi.org/10.1016/j.ejor.2016.08.031.

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27

HOGAN, JOSEPH W., and NAN M. LAIRD. "MODEL-BASED APPROACHES TO ANALYSING INCOMPLETE LONGITUDINAL AND FAILURE TIME DATA." Statistics in Medicine 16, no. 3 (1997): 259–72. http://dx.doi.org/10.1002/(sici)1097-0258(19970215)16:3<259::aid-sim484>3.0.co;2-s.

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28

Liu, Shihu. "NOVEL APPROACHES TO MULTI-CRITERIA DECISION MAKING WITH INCOMPLETE INFORMATION SYSTEM." COMPUSOFT: An International Journal of Advanced Computer Technology 02, no. 05 (2013): 114–20. https://doi.org/10.5281/zenodo.14594846.

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Our main work in this study is to make a detailed discussion on the multi-criteria decision making with incomplete information systems. At first, an algorithm is constructed to retrieve the missing criteria values by taking into account the local similarity as well as global similarity of each two alternatives. Then, in view of different evaluation information representation, we establish different making methods for the corresponding completed information system. By transforming interval-valued information into intuitionistic fuzzy number, the cosine similarity measure based method is introdu

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29

Dragu, Tiberiu, and Michael Laver. "Legislative coalitions with incomplete information." Proceedings of the National Academy of Sciences 114, no. 11 (2017): 2876–80. http://dx.doi.org/10.1073/pnas.1608514114.

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In most parliamentary democracies, proportional representation electoral rules mean that no single party controls a majority of seats in the legislature. This in turn means that the formation of majority legislative coalitions in such settings is of critical political importance. Conventional approaches to modeling the formation of such legislative coalitions typically make the “common knowledge” assumption that the preferences of all politicians are public information. In this paper, we develop a theoretical framework to investigate which legislative coalitions form when politicians’ policy p

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30

Tabakhi, Atena M. "Parameterized Heuristics for Incomplete Weighted CSPs." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 10045–46. http://dx.doi.org/10.1609/aaai.v33i01.330110045.

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The key assumption in Weighted Constraint Satisfaction Problems (WCSPs) is that all constraints are specified a priori. This assumption does not hold in some applications that involve users preferences. Incomplete WCSPs (IWCSPs) extend WCSPs by allowing some constraints to be partially specified. Unfortunately, existing IWCSP approaches either guarantee to return optimal solutions or not provide any quality guarantees on solutions found. To bridge the two extremes, we propose a number of parameterized heuristics that allow users to find boundedly-suboptimal solutions, where the error bound dep

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31

Tabakhi, Atena M. "Parameterized Heuristics for Incomplete Weighted CSPs." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9898–99. http://dx.doi.org/10.1609/aaai.v33i01.33019898.

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The key assumption in Weighted Constraint Satisfaction Problems (WCSPs) is that all constraints are specified a priori. This assumption does not hold in some applications that involve users preferences. Incomplete WCSPs (IWCSPs) extend WCSPs by allowing some constraints to be partially specified. Unfortunately, existing IWCSP approaches either guarantee to return optimal solutions or not provide any quality guarantees on solutions found. To bridge the two extremes, we propose a number of parameterized heuristics that allow users to find boundedly-suboptimal solutions, where the error bound dep

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32

Niskanen, Andreas, Daniel Neugebauer, Matti Järvisalo, and Jörg Rothe. "Deciding Acceptance in Incomplete Argumentation Frameworks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (2020): 2942–49. http://dx.doi.org/10.1609/aaai.v34i03.5686.

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Expressing incomplete knowledge in abstract argumentation frameworks (AFs) through incomplete AFs has recently received noticeable attention. However, algorithmic aspects of deciding acceptance in incomplete AFs are still under-developed. We address this current shortcoming by developing algorithms for NP-hard and coNP-hard variants of acceptance problems over incomplete AFs via harnessing Boolean satisfiability (SAT) solvers. Focusing on nonempty conflict-free or admissible sets and on stable extensions, we also provide new complexity results for a refined variant of skeptical acceptance in i

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33

Pereira, Ramon Fraga, Andre Grahl Pereira, and Felipe Meneguzzi. "Landmark-Enhanced Heuristics for Goal Recognition in Incomplete Domain Models." Proceedings of the International Conference on Automated Planning and Scheduling 29 (May 25, 2021): 329–37. http://dx.doi.org/10.1609/icaps.v29i1.3495.

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Recent approaches to goal recognition have progressively relaxed the assumptions about the amount and correctness of domain knowledge and available observations, yielding accurate and efficient algorithms. These approaches, however, assume completeness and correctness of the domain theory against which their algorithms match observations: this is too strong for most real-world domains. In this paper, we develop goal recognition techniques that are capable of recognizing goals using incomplete domain theories by considering different notions of planning landmarks in such domains. We evaluate th

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34

Wei, Guiwu, Hongjun Wang, Xiaofei Zhao, and Rui Lin. "Approaches to hesitant fuzzy multiple attribute decision making with incomplete weight information." Journal of Intelligent & Fuzzy Systems 26, no. 1 (2014): 259–66. http://dx.doi.org/10.3233/ifs-120734.

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35

Qin, Hongwu, and Xiuqin Ma. "Data Analysis Approaches of Interval-Valued Fuzzy Soft Sets Under Incomplete Information." IEEE Access 7 (2019): 3561–71. http://dx.doi.org/10.1109/access.2018.2886215.

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36

Rajagopal, D. "A synthesis of unilateral approaches to mitigating emissions leakage under incomplete policies." Climate Policy 17, no. 5 (2016): 573–90. http://dx.doi.org/10.1080/14693062.2016.1150249.

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37

De Cicco, Maristella, Gianfranco Mamone, Luigia Di Stasio, Pasquale Ferranti, Francesco Addeo, and Gianluca Picariello. "Hidden “Digestome”: Current Analytical Approaches Provide Incomplete Peptide Inventories of Food Digests." Journal of Agricultural and Food Chemistry 67, no. 27 (2019): 7775–82. http://dx.doi.org/10.1021/acs.jafc.9b02342.

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38

Pedretti, Daniele, and Roger D. Beckie. "Stochastic evaluation of simple pairing approaches to reconstruct incomplete rainfall time series." Stochastic Environmental Research and Risk Assessment 30, no. 7 (2015): 1933–46. http://dx.doi.org/10.1007/s00477-015-1195-1.

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39

Goel, Sonia, and Meena Tushir. "Different Approaches for Missing Data Handling in Fuzzy Clustering: A Review." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 6 (2020): 833–46. http://dx.doi.org/10.2174/2352096512666191127121710.

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Introduction: Incomplete data sets containing some missing attributes is a prevailing problem in many research areas. The reasons for the lack of missing attributes may be several; human error in tabulating/recording the data, machine failure, errors in data acquisition or refusal of a patient/customer to answer few questions in a questionnaire or survey. Further, clustering of such data sets becomes a challenge. Objective: In this paper, we presented a critical review of various methodologies proposed for handling missing data in clustering. The focus of this paper is the comparison of variou

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40

G, Tsoucalas. "Anatomy Image Series: Persistent Metopic Sutures in a Series of Dry Skulls of Hellenic Origin." Journal of Human Anatomy 5, no. 1 (2021): 1–3. http://dx.doi.org/10.23880/jhua-16000158.

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The persistence of a complete metopic suture in adulthood is called metopism. Numerous studies report wide variations concerning the prevalence of metopic sutures in adult crania. Metopic suture lies to the midline of the forehead and extends from the frontal bone to the root of the nose. However various types of incomplete sutures do exist. A series of 126 dry skulls is examined. A total of 15 metopic sutures were revealed, 2 complete (1 combined) and 13 incompletes. The localization and suture types are important for clinical approaches, as during the evaluation of head traumas in the emerge

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41

Benallou, Oualid, and Rajae Aboulaich. "Improving Capital Budgeting Through Probabilistic Approaches." Review of Pacific Basin Financial Markets and Policies 20, no. 03 (2017): 1750018. http://dx.doi.org/10.1142/s0219091517500187.

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This article advocates the multiple benefits of applying probabilistic approaches to capital budgeting through enriching the deterministic framework with a stochastic modeling of main impacting inputs (including a methodology for selecting the most important inputs to be modeled stochastically). The essential limitations of the deterministic capital budgeting methodology are presented: behavioral biases (optimism, asymmetric probability distribution, etc.), incomplete view of the risk return profile, neglecting real options (be it to evaluate a project or to reshape it in a value creation pers

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42

Shekhovtsov, Andrii, Joanna Kołodziejczyk, and Wojciech Sałabun. "Fuzzy Model Identification Using Monolithic and Structured Approaches in Decision Problems with Partially Incomplete Data." Symmetry 12, no. 9 (2020): 1541. http://dx.doi.org/10.3390/sym12091541.

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A significant challenge in the current trend in decision-making methods is the problem’s class in which the decision-maker makes decisions based on partially incomplete data. Classic methods of multicriteria decision analysis are used to analyze alternatives described by using numerical values. At the same time, fuzzy set modifications are usually used to include uncertain data in the decision-making process. However, data incompleteness is something else. In this paper, we show two approaches to identify fuzzy models with partially incomplete data. The monolithic approach assumes creating one

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43

Gerken, Thomas A. "Biophysical Approaches to Salivary Mucin Structure, Conformation and Dynamics." Critical Reviews in Oral Biology & Medicine 4, no. 3 (1993): 261–70. http://dx.doi.org/10.1177/10454411930040030201.

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Our understanding of the origins of the physical and biochemical properties of mucous glycoproteins is incomplete and not with out controversy. Recent molecular biological and biophysical studies revealing the architecture and solution structure and dynamics of a series of salivary mucins, invaluable toward resolving many of these questions, are discussed. Mucins are very large, structurally heterogeneous, and highly expanded molecules with the carbohydrate playing a key role in maintaining the extended mucin conformation.

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44

Stumpf, Michael P. H., and Thomas Thorne. "Multi-model inference of network properties from incomplete data." Journal of Integrative Bioinformatics 3, no. 2 (2006): 123–36. http://dx.doi.org/10.1515/jib-2006-32.

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Summary It has previously been shown that subnets differ from global networks from which they are sampled for all but a very limited number of theoretical network models. These differences are of qualitative as well as quantitative nature, and the properties of subnets may be very different from the corresponding properties in the true, unobserved network. Here we propose a novel approach which allows us to infer aspects of the true network from incomplete network data in a multi-model inference framework. We develop the basic theoretical framework, including procedures for assessing confidenc

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45

Atnafu, Asmamaw, Gashaw Andargie, Mezgebu Yitayal, et al. "Prevalence and determinants of incomplete or not at all vaccination among children aged 12–36 months in Dabat and Gondar districts, northwest of Ethiopia: findings from the primary health care project." BMJ Open 10, no. 12 (2020): e041163. http://dx.doi.org/10.1136/bmjopen-2020-041163.

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ObjectiveEthiopia is one of the Africa’s signatory countries for implementation of the primary healthcare strategy including immunisation. In Ethiopia, however, 16% of child death is due to vaccine-preventable disease. Thus, this study aimed to assess the prevalence and determinants of incomplete or not at all vaccination among children aged 12–36 months in Dabat and Gondar districts, Northwest Ethiopia.Study designThe study is community-based cross-sectional study.Study settingDabat and Gondar Zuria districts, Northwest Ethiopia.ParticipantsMothers/caregivers with children aged 12–36 months w

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46

Hu, Menglei, and Songcan Chen. "One-Pass Incomplete Multi-View Clustering." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3838–45. http://dx.doi.org/10.1609/aaai.v33i01.33013838.

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Real data are often with multiple modalities or from multiple heterogeneous sources, thus forming so-called multi-view data, which receives more and more attentions in machine learning. Multi-view clustering (MVC) becomes its important paradigm. In real-world applications, some views often suffer from instances missing. Clustering on such multi-view datasets is called incomplete multi-view clustering (IMC) and quite challenging. To date, though many approaches have been developed, most of them are offline and have high computational and memory costs especially for large scale datasets. To addr

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47

Liu, Deshan, Dapeng Wang, Deqin Yan, and Yu Sang. "Approximate Accuracy Approaches to Attribute Reduction for Information Systems." Abstract and Applied Analysis 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/382967.

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The key problem for attribute reduction to information systems is how to evaluate the importance of an attribute. The algorithms are challenged by the variety of data forms in information system. Based on rough sets theory we present a new approach to attribute reduction for incomplete information systems and fuzzy valued information systems. In order to evaluate the importance of an attribute effectively, a novel algorithm with rigorous theorem is proposed. Experiments show the effect of proposed algorithm.

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Goryachev, D. V., N. E. Uvarova, and G. V. Shukshina. "Marketing Authorisation Based on Incomplete Clinical Data: International Experience and Prospects." Bulletin of the Scientific Centre for Expert Evaluation of Medicinal Products 10, no. 3 (2020): 152–63. http://dx.doi.org/10.30895/1991-2919-2020-10-3-152-163.

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No new drug can be used in clinical practice without marketing authorisation. Acquisition of the necessary amount of clinical data may take several years, which is especially critical for pernicious diseases for which no alternative therapy is available. Lack of treatment options creates conditions in which early introduction of efficacious therapy into clinical practice is becoming crucial. This need resulted in the development of new regulatory approaches aimed at accelerated approval of drugs both by reducing the time frame and by fulfilling post-authorisation requirements. The aim of the s

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Clements, Lily, Alan C. Kimber, and Stefanie Biedermann. "Multiple Imputation of Composite Covariates in Survival Studies." Stats 5, no. 2 (2022): 358–70. http://dx.doi.org/10.3390/stats5020020.

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Missing covariate values are a common problem in survival studies, and the method of choice when handling such incomplete data is often multiple imputation. However, it is not obvious how this can be used most effectively when an incomplete covariate is a function of other covariates. For example, body mass index (BMI) is the ratio of weight and height-squared. In this situation, the following question arises: Should a composite covariate such as BMI be imputed directly, or is it advantageous to impute its constituents, weight and height, first and to construct BMI afterwards? We address this

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Zheng, Shurong, Jianhua Guo, Ning-Zhong Shi, and Guo-Liang Tian. "Likelihood-based approaches for multivariate linear models under inequality constraints for incomplete data." Journal of Statistical Planning and Inference 142, no. 11 (2012): 2926–42. http://dx.doi.org/10.1016/j.jspi.2012.04.018.

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