Academic literature on the topic 'Empirical Evaluation'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Empirical Evaluation.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Empirical Evaluation"
Ma, Qing. "Empirical CALL evaluation." CALICO Journal 26, no. 1 (January 14, 2013): 108–22. http://dx.doi.org/10.1558/cj.v26i1.108-122.
Full textThomsen, M., and L. Carlsen. "Evaluation of empirical versus non-empirical descriptors." SAR and QSAR in Environmental Research 13, no. 5 (January 2002): 525–40. http://dx.doi.org/10.1080/10629360290023359.
Full textJohnson, Nathan. "Empirical evaluation of monopolization." Critique 51, no. 1 (January 2, 2023): 51–70. http://dx.doi.org/10.1080/03017605.2023.2238448.
Full textKoubek, Tomáš, and David Procházka. "Empirical evaluation of augmented prototyping effectiveness." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 2 (2012): 143–50. http://dx.doi.org/10.11118/actaun201260020143.
Full textRaimondo, Estelle. "The power and dysfunctions of evaluation systems in international organizations." Evaluation 24, no. 1 (January 2018): 26–41. http://dx.doi.org/10.1177/1356389017749068.
Full textRaby, Caroline, Dean Alexis, Anthony Dickinson, and Nicola Clayton. "Empirical evaluation of mental time travel." Behavioral and Brain Sciences 30, no. 3 (June 2007): 330–31. http://dx.doi.org/10.1017/s0140525x07002166.
Full textVial, Daniel, and Vijay Subramanian. "Empirical Policy Evaluation With Supergraphs." IEEE Journal on Selected Areas in Information Theory 2, no. 2 (June 2021): 641–51. http://dx.doi.org/10.1109/jsait.2021.3073257.
Full textMcGill, Brian J., Brian A. Maurer, and Michael D. Weiser. "EMPIRICAL EVALUATION OF NEUTRAL THEORY." Ecology 87, no. 6 (June 2006): 1411–23. http://dx.doi.org/10.1890/0012-9658(2006)87[1411:eeont]2.0.co;2.
Full textPagel, Mark D., and Clifford E. Lunneborg. "Empirical evaluation of ridge regression." Psychological Bulletin 97, no. 2 (1985): 342–55. http://dx.doi.org/10.1037/0033-2909.97.2.342.
Full textRiding, T. M. "Exploring values: an empirical evaluation." Journal of Learning Disabilities for Nursing, Health, and Social Care 1, no. 1 (March 1997): 25–30. http://dx.doi.org/10.1177/146900479700100105.
Full textDissertations / Theses on the topic "Empirical Evaluation"
Giménez, Linares Jesús Ángel. "Empirical machine translation and its evaluation." Doctoral thesis, Universitat Politècnica de Catalunya, 2008. http://hdl.handle.net/10803/6674.
Full textD'una banda, tractem el problema de l'avaluació automàtica. Hem analitzat les principals deficiències dels mètodes d'avaluació actuals, les quals es deuen, al nostre parer, als principis de qualitat superficials en els que es basen. En comptes de limitar-nos al nivell lèxic, proposem una nova direcció cap a avaluacions més heterogènies. El nostre enfocament es basa en el disseny d'un ric conjunt de mesures automàtiques destinades a capturar un ampli ventall d'aspectes de qualitat a diferents nivells lingüístics (lèxic, sintàctic i semàntic). Aquestes mesures lingüístiques han estat avaluades sobre diferents escenaris. El resultat més notable ha estat la constatació de que les mètriques basades en un coneixement lingüístic més profund (sintàctic i semàntic) produeixen avaluacions a nivell de sistema més fiables que les mètriques que es limiten a la dimensió lèxica, especialment quan els sistemes avaluats pertanyen a paradigmes de traducció diferents. Tanmateix, a nivell de frase, el comportament d'algunes d'aquestes mètriques lingüístiques empitjora lleugerament en comparació al comportament de les mètriques lèxiques. Aquest fet és principalment atribuïble als errors comesos pels processadors lingüístics. A fi i efecte de millorar l'avaluació a nivell de frase, a més de recòrrer a la similitud lèxica en absència d'anàlisi lingüística, hem estudiat la possibiliat de combinar les puntuacions atorgades per mètriques a diferents nivells lingüístics en una sola mesura de qualitat. S'han presentat dues estratègies no paramètriques de combinació de mètriques, essent el seu principal avantatge no haver d'ajustar la contribució relativa de cadascuna de les mètriques a la puntuació global. A més, el nostre treball mostra com fer servir el conjunt de mètriques heterogènies per tal d'obtenir detallats informes d'anàlisi d'errors automàticament.
D'altra banda, hem estudiat el problema de la selecció lèxica en Traducció Automàtica Estadística. Amb aquesta finalitat, hem construit un sistema de Traducció Automàtica Estadística Castellà-Anglès basat en -phrases', i hem iterat en el seu cicle de desenvolupament, analitzant diferents maneres de millorar la seva qualitat mitjançant la incorporació de coneixement lingüístic. En primer lloc, hem extès el sistema a partir de la combinació de models de traducció basats en anàlisi sintàctica superficial, obtenint una millora significativa. En segon lloc, hem aplicat models de traducció discriminatius basats en tècniques d'Aprenentatge Automàtic. Aquests models permeten una millor representació del contexte de traducció en el que les -phrases' ocorren, efectivament conduint a una millor selecció lèxica. No obstant, a partir d'avaluacions automàtiques heterogènies i avaluacions manuals, hem observat que les millores en selecció lèxica no comporten necessàriament una millor estructura sintàctica o semàntica. Així doncs, la incorporació d'aquest tipus de prediccions en el marc estadístic requereix, per tant, un estudi més profund.
Com a qüestió complementària, hem estudiat una de les principals crítiques en contra dels sistemes de traducció basats en mètodes empírics, la seva forta dependència del domini, i com els seus efectes negatius poden ésser mitigats combinant adequadament fonts de coneixement externes. En aquest sentit, hem adaptat amb èxit un sistema de traducció estadística Anglès-Castellà entrenat en el domini polític, al domini de definicions de diccionari.
Les dues parts d'aquesta tesi estan íntimament relacionades, donat que el desenvolupament d'un sistema real de Traducció Automàtica ens ha permès viure en primer terme l'important paper dels mètodes d'avaluació en el cicle de desenvolupament dels sistemes de Traducció Automàtica.
In this thesis we have exploited current Natural Language Processing technology for Empirical Machine Translation and its Evaluation.
On the one side, we have studied the problem of automatic MT evaluation. We have analyzed the main deficiencies of current evaluation methods, which arise, in our opinion, from the shallow quality principles upon which they are based. Instead of relying on the lexical dimension alone, we suggest a novel path towards heterogeneous evaluations. Our approach is based on the design of a rich set of automatic metrics devoted to capture a wide variety of translation quality aspects at different linguistic levels (lexical, syntactic and semantic). Linguistic metrics have been evaluated over different scenarios. The most notable finding is that metrics based on deeper linguistic information (syntactic/semantic) are able to produce more reliable system rankings than metrics which limit their scope to the lexical dimension, specially when the systems under evaluation are different in nature. However, at the sentence level, some of these metrics suffer a significant decrease, which is mainly attributable to parsing errors. In order to improve sentence-level evaluation, apart from backing off to lexical similarity in the absence of parsing, we have also studied the possibility of combining the scores conferred by metrics at different linguistic levels into a single measure of quality. Two valid non-parametric strategies for metric combination have been presented. These offer the important advantage of not having to adjust the relative contribution of each metric to the overall score. As a complementary issue, we show how to use the heterogeneous set of metrics to obtain automatic and detailed linguistic error analysis reports.
On the other side, we have studied the problem of lexical selection in Statistical Machine Translation. For that purpose, we have constructed a Spanish-to-English baseline phrase-based Statistical Machine Translation system and iterated across its development cycle, analyzing how to ameliorate its performance through the incorporation of linguistic knowledge. First, we have extended the system by combining shallow-syntactic translation models based on linguistic data views. A significant improvement is reported. This system is further enhanced using dedicated discriminative phrase translation models. These models allow for a better representation of the translation context in which phrases occur, effectively yielding an improved lexical choice. However, based on the proposed heterogeneous evaluation methods and manual evaluations conducted, we have found that improvements in lexical selection do not necessarily imply an improved overall syntactic or semantic structure. The incorporation of dedicated predictions into the statistical framework requires, therefore, further study.
As a side question, we have studied one of the main criticisms against empirical MT systems, i.e., their strong domain dependence, and how its negative effects may be mitigated by properly combining outer knowledge sources when porting a system into a new domain. We have successfully ported an English-to-Spanish phrase-based Statistical Machine Translation system trained on the political domain to the domain of dictionary definitions.
The two parts of this thesis are tightly connected, since the hands-on development of an actual MT system has allowed us to experience in first person the role of the evaluation methodology in the development cycle of MT systems.
Fevang, Rune, and Arne Bergene Fossaa. "Empirical evaluation of metric indexing methods." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8902.
Full textMetric indexing is a branch of search technology that is designed for search non-textual data. Examples of this includes image search (where the search query is an image), document search (finding documents that are roughly equal) to search in high-dimensional Euclidean spaces. Metric indexing is based on the theory of metric spaces, where the only thing known about a set of objects is the distance between them (defined by a metric distance function). A large number of methods have been proposed to solve the metric indexing problem. In this thesis, we have concentrated on new approaches to solving these problems, as well as combining existing methods to create better ones. The methods studied in this thesis include D-Index, GNAT, EMVP-Forest, HC, SA-Tree, SSS-Tree, M-Tree, PM-Tree, M*-Tree and PM*-Tree. These have all been implemented and tested against each other to find strengths and weaknesses. This thesis also studies a group of indexing methods called hybrid methods which combines tree-based methods (like SA-Tree, SSS-tree and M-Tree), with pivoting methods (like AESA and LAESA). The thesis also proposes a method to create hybrid trees from existing trees by using features in the programming language. Hybrid methods have been shown in this thesis to be very promising. While they may have a considerable overhead in construction time,CPU usage and/or memory usage, they show large benefits in reduced number of distance computations. We also propose a new way of calculating the Minimal Spanning Tree of a graph operating on metric objects, and show that it reduces the number of distance computations needed.
Sebastian, Shalin. "Empirical evaluation of Monte Carlo sampling /." Available to subscribers only, 2005. http://proquest.umi.com/pqdweb?did=1075709431&sid=9&Fmt=2&clientId=1509&RQT=309&VName=PQD.
Full textLigon, Walter Batchelor III. "An empirical evaluation of architectural reconfigurability." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/8204.
Full textJoosep, Henno. "Empirical Evaluation of Approaches for Digit Recognition." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-46676.
Full textRamasamy, Ambigaibalan. "ASEAN free trade area : an empirical evaluation." Thesis, University of Leicester, 1995. http://hdl.handle.net/2381/35518.
Full textPonangi, Preethi Vinayak. "Cognitive Cyber Weapon Selection Tool Empirical Evaluation." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1303229011.
Full textMoattar, Haleh. "Empirical evaluation of subject-orientated business process modelling." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/101341/1/Haleh_Moattar_Thesis.pdf.
Full textOLIVEIRA, KLEINNER SILVA FARIAS DE. "EMPIRICAL EVALUATION OF EFFORT ON COMPOSING DESIGN MODELS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28757@1.
Full textCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
PROGRAMA DE EXCELENCIA ACADEMICA
Composição de modelos desempenha um papel fundamental em muitas atividades de engenharia de software como, por exemplo, evolução e reconciliação de modelos conflitantes desenvolvido em paralelo por diferentes times de desenvolvimento. Porém, os desenvolvedores têm dificuldades de realizar análises de custos e benefícios, bem como entender o real esforço de composição. Sendo assim, eles são deixados sem qualquer conhecimento prático sobre quanto é investido; além das estimativas de evangelistas que frequentemente divergem. Se o esforço de composição é alto, então os potenciais benefícios tais como aumento de produtividade podem ser comprometidos. Esta incapacidade de avaliar esforço de composição é motivada por três problemas: (i) as abordagens de avaliação atuais são inadequadas para mensurar os conceitos encontrados em composição, por exemplo, esforço e conflito; (ii) pesquisadores não sabem quais fatores podem influenciar o esforço de composição na prática. Exemplos de tais fatores seriam linguagem de modelagem e técnicas de composição que são responsáveis para manipular os modelos; (iii) a falta de conhecimento sobre como tais fatores desconhecidos afetam o esforço de composição. Esta tese, portanto, apresenta uma abordagem de avaliação de esforço de composição de modelos derivada de um conjunto de estudos experimentais. As principais contribuições são: (i) um modelo de qualidade para auxiliar a avaliação de esforço em composição de modelos; (ii) conhecimento prático sobre o esforço de composição e o impacto de fatores que afetam tal esforço; e (iii) diretivas sobre como avaliar esforço de composição, minimizar a propensão a erros, e reduzir os efeitos negativos dos fatores na prática de composição de modelos.
Model composition plays a central role in many software engineering activities such as evolving models to add new features and reconciling conflicting design models developed in parallel by different development teams. As model composition is usually an error-prone and effort-consuming task, its potential benefits, such as gains in productivity can be compromised. However, there is no empirical knowledge nowadays about the effort required to compose design models. Only feedbacks of model composition evangelists are available, and they often diverge. Consequently, developers are unable to conduct any cost-effectiveness analysis as well as identify, predict, or reduce composition effort. The inability of evaluating composition effort is due to three key problems. First, the current evaluation frameworks do not consider fundamental concepts in model composition such as conflicts and inconsistencies. Second, researchers and developers do not know what factors can influence the composition effort in practice. Third, practical knowledge about how such influential factors may affect the developers effort is severely lacking. In this context, the contributions of this thesis are threefold: (i) a quality model for supporting the evaluation of model composition effort, (ii) practical knowledge, derived from a family of quantitative and qualitative empirical studies, about model composition effort and its influential factors, and (iii) insight about how to evaluate model composition efforts and tame the side effects of such influential factors.
McCreary, Faith. "Empirical Evaluation of a Technology-rich Learning Environment." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/28948.
Full textPh. D.
Books on the topic "Empirical Evaluation"
Yŏnʼguwŏn, Hanʼguk Kaebal, ed. Empirical evaluation of corporate restructuring. Seoul, Korea: Korea Development Institute, 2003.
Find full text1962-, Christensen H. I., and Phillips P. Jonathon, eds. Empirical evaluation methods in computer vision. Singapore: World Scientific, 2002.
Find full textBowyer, Kevin. Empirical evaluation techniques in computer vision. Los Alamitos, Calif: IEEE Computer Society, 1998.
Find full textAn, Chʻung-yŏng. Corporate restructuring in Korea: Empirical evaluation. Seoul, Korea: Korea Institute for International Economic Policy, 2003.
Find full textKrishnaswamy, O. R. The lead bank scheme: An empirical evaluation. Coimbatore, Tamil Nadu: Rainbow Publications, 1985.
Find full textJürgen, Ender, and Thunert Martin, eds. German students in Canada: An empirical evaluation. Bochum: Brockmeyer, 1989.
Find full textEmpirical modeling in economics: Specification and evaluation. Cambridge: Cambridge University Press, 1999.
Find full textBall, Ray. An empirical evaluation of accounting income numbers. [Preston: Lancashire Polytechnic, 1985.
Find full textHorst, Bayrhuber, and Mayer Jürgen, eds. Empirical research on environmental education in Europe. Münster: Waxmann, 2000.
Find full textWoittiez, Isolde. Modelling and Empirical Evaluation of Labour Supply Behaviour. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84508-6.
Full textBook chapters on the topic "Empirical Evaluation"
Branke, Jürgen. "Empirical Evaluation." In Evolutionary Optimization in Dynamic Environments, 67–98. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0911-0_5.
Full textFrommberger, Lutz. "Empirical Evaluation." In Cognitive Technologies, 123–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16590-0_7.
Full textVegas, Sira, Natalia Juristo, and Victor R. Basili. "Empirical Evaluation." In Identifying Relevant Information for Testing Technique Selection, 167–76. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0419-1_9.
Full textBarrett, Samuel. "Empirical Evaluation." In Making Friends on the Fly: Advances in Ad Hoc Teamwork, 95–124. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18069-4_7.
Full textChristen, Peter, Thilina Ranbaduge, and Rainer Schnell. "Empirical Evaluation." In Linking Sensitive Data, 323–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59706-1_12.
Full textHester, Todd. "Empirical Evaluation." In Studies in Computational Intelligence, 51–84. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01168-4_5.
Full textPatten, Mildred L., and Melisa C. Galvan. "Program Evaluation." In Proposing Empirical Research, 43–44. Sixth edition. | New York, NY : Routledge, 2020.: Routledge, 2019. http://dx.doi.org/10.4324/9780429463013-22.
Full textVeit, Daniel J. "7 Empirical Evaluation." In Matchmaking in Electronic Markets, 143–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39995-7_7.
Full textKretschmer, Katharina. "Empirical Findings." In Performance Evaluation of Foreign Subsidiaries, 133–292. Wiesbaden: Gabler, 2008. http://dx.doi.org/10.1007/978-3-8349-9922-1_6.
Full textKretschmer, Katharina. "The Empirical Study." In Performance Evaluation of Foreign Subsidiaries, 91–132. Wiesbaden: Gabler, 2008. http://dx.doi.org/10.1007/978-3-8349-9922-1_5.
Full textConference papers on the topic "Empirical Evaluation"
Gorton, I., and A. Liu. "Mini-track: empirical software evaluation." In 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the. IEEE, 2004. http://dx.doi.org/10.1109/hicss.2004.1265650.
Full textHobby, Laurian, John Booker, D. Scott McCrickard, C. M. Chewar, and Jason Zietz. "Facilitating and automating empirical evaluation." In the 43rd annual southeast regional conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1167350.1167437.
Full textBissyande, T. F., F. Thung, Shaowei Wang, D. Lo, Lingxiao Jiang, and L. Reveillere. "Empirical Evaluation of Bug Linking." In 2013 17th European Conference on Software Maintenance and Reengineering (CSMR 2013). IEEE, 2013. http://dx.doi.org/10.1109/csmr.2013.19.
Full textLung, Andreea, Simona Motogna, and Vladiela Petraşcu. "Empirical Evaluation of Reusability Models." In 17th International Conference on Software Technologies. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011143100003266.
Full textKjaer, Martin, Monika di Angelo, and Gernot Salzer. "Empirical Evaluation of MakerDAO's Resilience." In 2021 3rd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS). IEEE, 2021. http://dx.doi.org/10.1109/brains52497.2021.9569811.
Full textWalkinshaw, Neil, and Martin Shepperd. "Reasoning about Uncertainty in Empirical Results." In EASE '20: Evaluation and Assessment in Software Engineering. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3383219.3383234.
Full textXiao, Ziang, Susu Zhang, Vivian Lai, and Q. Vera Liao. "Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory." In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.emnlp-main.676.
Full textTzeng, Nian-Feng. "Empirical Evaluation of Incomplete Hypercube Systems." In 1993 International Conference on Parallel Processing - ICPP'93 Vol1. IEEE, 1993. http://dx.doi.org/10.1109/icpp.1993.78.
Full textGestwicki, Paul V., and Brian J. McNely. "Empirical evaluation of periodic retrospective assessment." In Proceeding of the 44th ACM technical symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2445196.2445399.
Full textMeraji, Sina, and Hamid Sarbazi-Azad. "Empirical Performance Evaluation of Stretched Hypercubes." In 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008). IEEE, 2008. http://dx.doi.org/10.1109/waina.2008.294.
Full textReports on the topic "Empirical Evaluation"
Sasso, William C. Empirical Evaluation of KBSA Technology. Fort Belvoir, VA: Defense Technical Information Center, July 1997. http://dx.doi.org/10.21236/ada329322.
Full textBarwick, Panle Jia, Myrto Kalouptsidi, and Nahim Bin Zahur. China’s Industrial Policy: an Empirical Evaluation. Cambridge, MA: National Bureau of Economic Research, July 2019. http://dx.doi.org/10.3386/w26075.
Full textBlundell, Richard, and Monica Costa Dias. Alternative approaches to evaluation in empirical microeconomics. Institute for Fiscal Studies, October 2008. http://dx.doi.org/10.1920/wp.cem.2008.2608.
Full textRander, Peter W., and Brett Browning. Empirical Evaluation of the Virtual Autonomous Navigation Environment. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada520805.
Full textGiglio, Stefano, Bryan Kelly, and Seth Pruitt. Systemic Risk and the Macroeconomy: An Empirical Evaluation. Cambridge, MA: National Bureau of Economic Research, February 2015. http://dx.doi.org/10.3386/w20963.
Full textDiaye, Marc-Arthur, Nathalie Greenan, and Michal Urdanivia. Subjective Evaluation of Performance Through Individual Evaluation Interview: Empirical evidence from France. Cambridge, MA: National Bureau of Economic Research, March 2007. http://dx.doi.org/10.3386/w12979.
Full textThompson, J. An Empirical Evaluation of Denoising Techniques for Streaming Data. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1165751.
Full textKuo, Lynn, and Constantin Yiannoutsos. Empirical Bayes Risk Evaluation with Type 2 Censored Data. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada242291.
Full textAnderson, D. P., D. Ferrari, P. V. Rangan, and B. Sartirana. The Empirical Evaluation of a Security-Oriented Datagram Protocol. Fort Belvoir, VA: Defense Technical Information Center, April 1987. http://dx.doi.org/10.21236/ada619421.
Full textQuick, Stephen A. Self Evaluation of OVE's Work: 2001-2010. Inter-American Development Bank, April 2011. http://dx.doi.org/10.18235/0010551.
Full text