Academic literature on the topic 'Criteria for classification'

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Journal articles on the topic "Criteria for classification"

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Katz, Jeffrey N., and Matthew H. Liang. "Classification Criteria Revisited." Arthritis & Rheumatism 34, no. 10 (1991): 1228–30. http://dx.doi.org/10.1002/art.1780341004.

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Mahr, Alfred, and Mathilde de Menthon. "Classification and classification criteria for vasculitis." Current Opinion in Rheumatology 27, no. 1 (2015): 1–9. http://dx.doi.org/10.1097/bor.0000000000000134.

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Akgul, Ozgur. "Classification criteria for spondyloarthropathies." World Journal of Orthopedics 2, no. 12 (2011): 107. http://dx.doi.org/10.5312/wjo.v2.i12.07.

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Akgul, Ozgur, and Salih Ozgocmen. "Classification criteria for spondyloarthropathies." World Journal of Orthopedics 2, no. 12 (2011): 107. http://dx.doi.org/10.5312/wjo.v2.i12.107.

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Xavier Pi-Sunyer, F. "Obesity: criteria and classification." Proceedings of the Nutrition Society 59, no. 4 (2000): 505–9. http://dx.doi.org/10.1017/s0029665100000732.

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Obesity is defined as an excess accumulation of body fat. To measure fat in the body accurately is difficult, and no method is easily available for routine clinical use. Traditionally, overweight and obesity have been evaluated by anthropometric measurement of weight-for-height. More recently, BMI has been used. The normal range is 19–24·9 kg/m2, overweight is 25–29·9 kg/m2, and obesity ≥ 30 kg/m2. Not only is the total amount of fat an individual carries important, but also where the fat is distributed in the body. Fat in a central or upper body (android) distribution is most related to healt
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Choromanska, Anna, and Ish Kumar Jain. "Extreme Multiclass Classification Criteria." Computation 7, no. 1 (2019): 16. http://dx.doi.org/10.3390/computation7010016.

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We analyze the theoretical properties of the recently proposed objective function for efficient online construction and training of multiclass classification trees in the settings where the label space is very large. We show the important properties of this objective and provide a complete proof that maximizing it simultaneously encourages balanced trees and improves the purity of the class distributions at subsequent levels in the tree. We further explore its connection to the three well-known entropy-based decision tree criteria, i.e., Shannon entropy, Gini-entropy and its modified variant,
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Stenholm, Björn. "Classification Criteria and Databases." Symposium - International Astronomical Union 155 (1993): 11–17. http://dx.doi.org/10.1017/s007418090016992x.

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In this review lecture the increase of fundamental data for planetary nebulae is shortly reflected. Special attention is given to the new general catalogue of galactic planetary nebulae, and selection criteria for the entries are summarised. Some information on planetary nebula data in the Magellanic Clouds is also given.
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Leekwijck, Werner Van, and Etienne E. Kerre. "Defuzzification: criteria and classification." Fuzzy Sets and Systems 108, no. 2 (1999): 159–78. http://dx.doi.org/10.1016/s0165-0114(97)00337-0.

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Dubreuil, Maureen, and Atul A. Deodhar. "Axial spondyloarthritis classification criteria." Current Opinion in Rheumatology 29, no. 4 (2017): 317–22. http://dx.doi.org/10.1097/bor.0000000000000402.

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Ulucan, Aydin, and Kazim Baris Atici. "A MULTIPLE CRITERIA SORTING METHODOLOGY WITH MULTIPLE CLASSIFI CATION CRITERIA AND AN APPLICATION TO COUNTRY RISK EVALUATION." Technological and Economic Development of Economy 19, no. 1 (2013): 93–124. http://dx.doi.org/10.3846/20294913.2012.763070.

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In this paper, we propose an extension of the standard UTADIS methodology, an approach that originates from multicriteria decision aid (MCDA) for sorting problems, such that it can handle more than one classification criteria simultaneously which possibly involves different predefined classes for alternatives. Moreover, we test the classification ability of the standard UTADIS methodology using the out-of-classification criterion approach, a new variant of the studies comprising out-of-time and out-of-sample testing methodologies. Results obtained in out-of-classification criterion testing are
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Dissertations / Theses on the topic "Criteria for classification"

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Chen, Ye. "Multiple Criteria Decision Analysis: Classification Problems and Solutions." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2892.

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Multiple criteria decision analysis (MCDA) techniques are developed to address challenging classification problems arising in engineering management and elsewhere. MCDA consists of a set of principles and tools to assist a decision maker (DM) to solve a decision problem with a finite set of alternatives compared according to two or more criteria, which are usually conflicting. The three types of classification problems to which original research contributions are made are <ol> <li>Screening: Reduce a large set of alternatives to a smaller set that most likely contains the best choice.
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au, A. Bremner@murdoch edu, and Alexandra Bremner. "Localised splitting criteria for classification and regression trees." Murdoch University, 2004. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20040606.142949.

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This thesis presents a modification of existing entropy-based splitting criteria for classification and regression trees. Trees are typically grown using splitting criteria that choose optimal splits without taking future splits into account. This thesis examines localised splitting criteria that are based on local averaging in regression trees or local proportions in classification trees. The use of a localised criterion is motivated by the fact that future splits result in leaves that contain local observations, and hence local deviances provide a better approximation of the deviance of the
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Bremner, Alexandra. "Localised splitting criteria for classification and regression trees." Bremner, Alexandra (2004) Localised splitting criteria for classification and regression trees. PhD thesis, Murdoch University, 2004. http://researchrepository.murdoch.edu.au/440/.

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This thesis presents a modification of existing entropy-based splitting criteria for classification and regression trees. Trees are typically grown using splitting criteria that choose optimal splits without taking future splits into account. This thesis examines localised splitting criteria that are based on local averaging in regression trees or local proportions in classification trees. The use of a localised criterion is motivated by the fact that future splits result in leaves that contain local observations, and hence local deviances provide a better approximation of the deviance of the
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Bremner, Alexandra P. "Localised splitting criteria for classification and regression trees /." Access via Murdoch University Digital Theses Project, 2004. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20040606.142949.

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Zowid, Fauzi Mohammed. "Development and performance evaluation of multi-criteria inventory classification methods." Thesis, Bordeaux, 2020. http://www.theses.fr/2020BORD0331.

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Cette thèse traite du problème de la classification des produits dans les systèmes de gestion de stock. Plus précisément, elle vise à proposer de nouvelles méthodes de classification pour résoudre le problème de la classification multicritères des produits en stock (MCIC). Actuellement, la méthode ABC de classification des produits en stock est largement utilisée pour rationaliser les systèmes de gestion de stock composés de milliers de produits (SKU). Les méthodes de classification des stocks ABC à un seul critère sont souvent utilisées dans la pratique et, récemment, les MCIC ont également a
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TAKEDA, Kazuya, Norihide KITAOKA, and Makoto SAKAI. "Acoustic Feature Transformation Combining Average and Maximum Classification Error Minimization Criteria." Institute of Electronics, Information and Communication Engineers, 2010. http://hdl.handle.net/2237/14970.

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Xing, Lihong, and Yaoxuan Xu. "Product Classification in Supply Chain." Thesis, KTH, Industriell produktion, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-50398.

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Oriflame is a famous international direct sale cosmetics company with complicated supply chain operation but it lacks of a product classification system. It is vital to design a product classification method in order to support Oriflame global supply planning and improve the supply chain performance. This article is aim to investigate and design the multi-criteria of product classification, propose the classification model, suggest application areas of product classification results and introduces the product classification system into Oriflame ERP system. The research scope is defined within
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Crysandt, Holger. "Hierarchical classification of sound signals with class separation based on information theoretic criteria /." Aachen : Shaker, 2008. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=017071704&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Liang, Wei. "An Introduction to Ambiguity and Instability: New Merit Criteria for Evaluating Classification Performance." W&M ScholarWorks, 2008. https://scholarworks.wm.edu/etd/1539626865.

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Alves, Frederico Silva de Sousa. "Canine parvovirus and sepsis : SIRS criteria evaluation and implementation of a PIRO classification." Master's thesis, Universidade de Lisboa, Faculdade de Medicina Veterinária, 2020. http://hdl.handle.net/10400.5/19691.

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Dissertação de Mestrado Integrado em Medicina Veterinária<br>Sepsis is a severe condition associated with high prevalence and mortality rates. Parvovirus enteritis is a predisposing factor for sepsis, as it promotes intestinal bacterial translocation and severe immunosuppression. This makes naturally parvovirus infected dogs a suitable study population as far as sepsis is concerned. The main objective of the present study was to evaluate the differences between two sets of SIRS (Systemic Inflammatory Response Syndrome) criteria in outcome prediction, parallelly the possibility of stratifying a
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Books on the topic "Criteria for classification"

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Woo, Carolyn Y. Y. Entrepreneurial typology and classification criteria. Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1989.

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Constantin, Zopounidis, ed. Multicriteria decision aid classification methods. Kluwer Academic Publishers, 2002.

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Noble, Elizabeth B. Classification Pamlico Sound nursery areas: Recommendations for critical habitat criteria. North Carolina Dept. of Environment, Health, and Natural Resources, Division of Marine Fisheries, 1991.

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Doumpos, Michael. Multicriteria decision aid classification methods. Kluwer Academic Publishers, 2002.

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Webb, T. H. Criteria for defining the soil family and soil sibling: The fourth and fifth categories of the New Zealand Soil Classification. 2nd ed. Manaaki Whenua Press, Landcare Research, 2011.

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Lin, Chuan-Ju. Effects of item-selection criteria on classification testing with the sequential probability ratio test. ACT, Inc., 2000.

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Lin, Chuan-Ju. Effects of item-selection criteria on classification testing with the sequential probability ratio test. ACT, Inc., 2000.

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Lin, Chuan-Ju. Effects of item-selection criteria on classification testing with the sequential probability ratio test. ACT, Inc., 2000.

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Smith, Gregory M., Jonathan Chun, Anatoly Nemzer, and Bob Richard. Test Procedures and Classification Criteria for Release of Toxic Gases from Water-Reactive Materials. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22276.

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Petti, Cathy A. Interpretive criteria for identification of bacteria and fungi by DNA target sequencing: Approved guideline. Clinical and Laboratory Standards Institute, 2008.

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Book chapters on the topic "Criteria for classification"

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Baldini, Chiara, Rosaria Talarico, and Stefano Bombardieri. "Classification Criteria." In Sjögren’s Syndrome. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-947-5_29.

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Cantini, Fabrizio, and Carlotta Nannini. "Classification Criteria." In Large and Medium Size Vessel and Single Organ Vasculitis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67175-4_1.

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Gerosa, Maria, and Francesca Rovelli. "Non-classification Criteria." In Antiphospholipid Antibody Syndrome. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11044-8_6.

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Meyn, Sean P., and Richard L. Tweedie. "Generalized Classification Criteria." In Markov Chains and Stochastic Stability. Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-3267-7_19.

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Yazici, Hasan, and Yusuf Yazici. "Disease Classification/Diagnosis Criteria." In Understanding Evidence-Based Rheumatology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08374-2_3.

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Bertolaccini, Maria Laura, Oier Ateka-Barrutia, and Munther A. Khamashta. "Classification Criteria for APS." In Antiphospholipid Syndrome Handbook. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84628-735-0_4.

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Stenholm, Björn. "Classification Criteria and Databases." In Planetary Nebulae. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2088-3_2.

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Lee, Crystal Man Ying, and Stephen Colagiuri. "Diagnostic Criteria and Classification." In Endocrinology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-45015-5_3.

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Lee, Crystal Man Ying, and Stephen Colagiuri. "Diagnostic Criteria and Classification." In Endocrinology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-27317-4_3-1.

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Linkov, Igor, Emily Moberg, Benjamin D. Trump, Boris Yatsalo, and Jeffrey M. Keisler. "Risk-Based Classification of Nanomaterials 1." In Multi-Criteria Decision Analysis. CRC Press, 2020. http://dx.doi.org/10.1201/9780429326448-10.

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Conference papers on the topic "Criteria for classification"

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Garg, Arti, and Coryn A. L. Bailer-Jones. "Determination of Microlensing Selection Criteria for the SuperMACHO Survey." In CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: “Classification and Discovery in Large Astronomical Surveys”. AIP, 2008. http://dx.doi.org/10.1063/1.3059059.

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Thompson, Roney L., and Paulo R. Souza Mendes. "Considerations on Flow Classification Criteria." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60109.

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Flow classification is still an open problem in continuum mechanics. Among the presently available flow criteria, there are two that have an outstanding importance, namely, Tanner and Huilgol (1975) and Astrarita (1979). While the former is restricted to MWCSH, the latter was shown by Huilgol (1980) to fail for certain 3-D kinematics. In the present work we suggest a generalization of Tanner-Huilgol’s classification to encompass motions other then MWCSH. We also establish both the range of applicability of Astarita’s criterion and the relationship between the two criteria. The application to t
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Singh, Rita. "Audio Classification with Thermodynamic Criteria." In 2014 IEEE International Conference on Cloud Engineering (IC2E). IEEE, 2014. http://dx.doi.org/10.1109/ic2e.2014.23.

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Skupas, Bronius, Valentina Dagiene, and Miguel Revilla. "Developing classification criteria for programming tasks." In the 14th annual ACM SIGCSE conference. ACM Press, 2009. http://dx.doi.org/10.1145/1562877.1563015.

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Dobra, Andreea. "General classification of robots. Size criteria." In 2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD). IEEE, 2014. http://dx.doi.org/10.1109/raad.2014.7002249.

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Szarucki, Marek. "Developing classification criteria for organizational problems." In The 6th International Scientific Conference "Business and Management 2010". Vilnius Gediminas Technical University Publishing House Technika, 2010. http://dx.doi.org/10.3846/bm.2010.148.

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Kriguer, Henrique, and Valerio Salomon. "MULTI-CRITERIA CLASSIFICATION OF SPARE PARTS." In International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2016. http://dx.doi.org/10.13033/isahp.y2016.089.

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Kitamura, Yoshinobu, Sho Segawa, Munehiko Sasajima, and Riichiro Mizoguchi. "An Ontology of Classification Criteria for Functional Taxonomies." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48125.

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In order to facilitate sharing of functional models, some functional taxonomies each of which provides a set of verbs for representing generic functions (called functional terms here) have been developed. Their examples include some sets of generally valid functions in the book written by Pahl and Beitz, Functional Basis (FB) developed by Hirtz et al. and FOCUS/Tx developed by the authors of this paper. The issue addressed in this paper is the implicitness of the criteria of classification of functional terms in those taxonomies and thus unclearness of their definitions. This paper proposes an
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Petri, Michelle, Daniel Goldman, and Laurence S. Magder. "CS-29 Creation of a weighted SLICC SLE classification criteria and comparison with other SLE classification criteria." In LUPUS 21ST CENTURY 2018 CONFERENCE, Abstracts of the Fourth Biannual Scientific Meeting of the North and South American and Caribbean Lupus Community, Armonk, New York, USA, September 13 – 15, 2018. Lupus Foundation of America, 2018. http://dx.doi.org/10.1136/lupus-2018-lsm.64.

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Iyer, Naresh, and Piero P. Bonissone. "Automated Risk Classification and Outlier Detection." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369101.

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Reports on the topic "Criteria for classification"

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Pypenko, Iryna. Classification of the Criteria for Cryptocurrencies. KRPOCH, 2020. http://dx.doi.org/10.26697/krpoch.pypenko.i.report.2020.

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Larsen, Poul Bo, and Daniel Vest Christophersen. The applicability of the GHS classification criteria to nanomaterials. Nordic Council of Ministers, 2019. http://dx.doi.org/10.6027/na2019-907.

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Wik, Ola, Pascal Suer, Anke Oberender, Ole Hjelmar, Jutta Laine-Ylijoki, and Margareta Wahlström. Consequences of Revised Criteria for Hazardous Waste Classification in the Nordic countries – the criterion for leaching (H15). Nordic Council of Ministers, 2012. http://dx.doi.org/10.6027/tn2012-547.

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Shulman, Jay, Timothy R. Williams, James E. Tupa, James A. Lalumandier, and Norman W. Richter. A Comparison of Dental Fitness Classification Using Different Class 3 Criteria: A Report of Consultation. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada255417.

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Moe, Wayne L., and Amir Afzali. Modernization of Technical Requirements for Licensing of Advanced Non-Light Water Reactors: Safety Classification and Performance Criteria for Structures, Systems, and Components. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1560535.

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Moe, Wayne, and Amir Afzali. Modernization of Technical Requirements for Licensing of Advanced Non-Light Water Reactors: Safety Classification and Performance Criteria for Structures, Systems, and Components. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1700535.

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Furey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41960.

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The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in nonquantitative text descriptions. We present initial text mining analyses of parsed text i
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Knapp, Deirdre J., and John P. Campbell. Building a Joint-Service Classification Research Roadmap: Criterion- Related Issues. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada269735.

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Manual for the classification of intervention best-practices with rural NEETs. OST Action CA 18213: Rural NEET Youth Network: Modeling the risks underlying rural NEETs social exclusion, 2020. http://dx.doi.org/10.15847/cisrnyn.mn1.2020.12.

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targeting rural NEETs. In my opinion, this is the most outstanding contribution of this manual, and also an original one, considering that to date no other efforts have been made with the intention of developing a grid of how to describe interventions dealing with rural NEETs. This manual offers, therefore, valuable contributions for upcoming research efforts within and beyond RNYN, including: (a) a complete methodological framework for future case stu-dies; (b) practical tools to conduct field research than can be combined with many different methodological approaches (qualitative, mixed-meth
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