Relevant bibliographies by topics / Induction and inference

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Academic literature on the topic 'Induction and inference'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Induction and inference"

1

Brandom, Robert. "Inference, expression, and induction." Philosophical Studies 54, no. 2 (1988): 257–85. http://dx.doi.org/10.1007/bf00354516.

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Tarlowski, Andrzej. "Naming Patterns and Inductive Inference: The Case of Birds." Journal of Cognition and Culture 11, no. 1-2 (2011): 189–216. http://dx.doi.org/10.1163/156853711x568743.

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AbstractAlthough past research demonstrated that online presentation of labels plays a role in inductive inference few studies have shown that naming practices affect stable category representations that enter into inductive judgments. In this study we provide evidence for a relationship between naming and inductive inference by examining Polish and Spanish speakers’ inferences within the taxonomic class Aves. Birds in Polish are named with one label, ptak, while Spanish uses two labels, ave and pájaro. Size is the feature that determines whether Spanish speakers label a bird as ave or pájaro.
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van Someren, Maarten W. "Analogy and Induction as Inference." AI Communications 3, no. 2 (1990): 83–84. http://dx.doi.org/10.3233/aic-1990-3208.

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Mackonis, Adolfas. "GERIAUSIO PAAIŠKINIMO IŠVEDIMAS. TARP DEDUKCIJOS, INDUKCIJOS IR ABDUKCIJOS." Problemos 76 (January 1, 2009): 150–61. http://dx.doi.org/10.15388/problemos.2009.0.1936.

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Geriausio paaiškinimo išvedimas (GPI) išskiriamas kaip pagrindinė mokslo hipotezes ir teorijas atrandanti ir pagrindžianti samprotavimo forma. Straipsnyje tiriamas GPI ir jo santykis su pagrindinėmis samprotavimo rūšimis: dedukcija, indukcija ir abdukcija. GPI pasižymi abdukcijos samprotavimo mechanizmu, tačiau, priešingai nei abdukcija, GPI teikia ne galimą, bet esą teisingą išvadą. GPI yra induktyvus plačiąja prasme samprotavimas, nes jis nepatenkina dedukcijos taisyklių ir jo išvadai nepakanka duomenų. Straipsnyje teigiama, jog nepaisant pastarųjų GPI ypatumų, kurie rodo, kad GPI nėra ir ne
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McGrew, Timothy. "Direct Inference and the Problem of Induction." Monist 84, no. 2 (2001): 153–78. http://dx.doi.org/10.5840/monist200184211.

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Holland, John H., Keith J. Holyoak, Richard E. Nisbett, Paul R. Thagard, and Stephen W. Smoliar. "Induction: Processes of Inference, Learning, and Discovery." IEEE Expert 2, no. 3 (1987): 92–93. http://dx.doi.org/10.1109/mex.1987.4307100.

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Magnus, P. D. "Demonstrative Induction and the Skeleton of Inference." International Studies in the Philosophy of Science 22, no. 3 (2008): 303–15. http://dx.doi.org/10.1080/02698590802567373.

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Shrager, Jeff. "Induction: Process of inference, learning and discovery." Artificial Intelligence 41, no. 2 (1989): 249–52. http://dx.doi.org/10.1016/0004-3702(89)90013-1.

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Margolis, Howard. "Induction: Processes of inference, learning and discovery." Journal of Economic Behavior & Organization 9, no. 3 (1988): 318–21. http://dx.doi.org/10.1016/0167-2681(88)90041-8.

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Gaines, Brian R., and Mildred L. G. Shaw. "Induction of inference rules for expert systems." Fuzzy Sets and Systems 18, no. 3 (1986): 315–28. http://dx.doi.org/10.1016/0165-0114(86)90009-6.

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Dissertations / Theses on the topic "Induction and inference"

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Barker, Gillian Abernathy. "Abstraction, analogy and induction : toward a general account of ampliative inference /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9820857.

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Osta, Vélez Matías. "Inference and the structure of concepts." Thesis, Paris 1, 2020. http://www.theses.fr/2020PA01H206.

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Cette thèse porte sur le rôle du contenu conceptuel dans l'inférence et le raisonnement. Les deux premiers chapitres offrent une analyse critique de la "thèse formaliste", i.e., l'idée selon laquelle l'inférence rationnelle est un mécanisme qui applique des règles syntaxiques à des pensées avec structure linguistique. Le Chapitre 3 porte sur la relation entre l'inférence et la représentation. Il est avancé que l'inférence doit être étudiée depuis une perspective pluraliste en raison de sa dépendance à l'égard de différents formats de représentation des informations qui caractérisent la cogniti
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Hogue, Andrew William 1978. "Tree pattern inference and matching for wrapper induction on the World Wide Web." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28406.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (p. 103-106).<br>We develop a method for learning patterns from a set of positive examples to retrieve semantic content from tree-structured data. Specifically, we focus on HTML documents on the World Wide Web, which contain a wealth of semantic information and have a useful underlying tree structure. A user provides examples of relevant data they wish to extract from a web site through a simple user interface in a web browser. To construct
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Sandillon, Rezer Noémie Fleur. "Apprentissage de grammaires catégorielles : transducteurs d’arbres et clustering pour induction de grammaires catégorielles." Thesis, Bordeaux 1, 2013. http://www.theses.fr/2013BOR14940/document.

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De nos jours, il n’est pas rare d’utiliser des logiciels capables d’avoir une conversation, d’interagir avec nous (systèmes questions/réponses pour les SAV, gestion d’interface ou simplement Intelligence Artificielle - IA - de discussion). Ceux-ci doivent comprendre le contexte ou réagir par mot-clefs, mais générer ensuite des réponses cohérentes, aussi bien au niveau du sens de la phrase (sémantique) que de la forme (syntaxe). Si les premières IA se contentaient de phrases toutes faites et réagissaient en fonction de mots-clefs, le processus s’est complexifié avec le temps. Pour am
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Shah, Raza. "Property inference decision-making and decision switching of undergraduate engineers : implications for ideational diversity & fluency through movements in a Cartesian concept design space." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/278700.

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Design fixation is a phenomenon experienced by professional designers and engineering design students that stifles creativity and innovation through discouraging ideational productivity, fluency and diversity. During the design idea and concept generation phase of the design process, a reliance on perceptual surface feature similarities between design artefacts increases the likelihood of design fixation leading to design duplication. Psychologists, educators and designers have become increasingly interested in creative idea generation processes that encourage innovation and entrepreneurial ou
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Betella, Alberto. "From affective computing to empathic adaptive systems: inference and induction of emotion in ecologically-valid contexts to foster novel paradigms of human-computer interaction." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/328435.

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Due to the complexity of the natural world, scientific studies on cognitive, behavioral and physiological phenomena are typically conducted under strict laboratory conditions. Nonetheless, recent technological improvements in virtual reality systems and wearable devices are leading to a gradual shift in research towards life-like experimental settings. We present a number of studies focused on the expression and induction of affect in humans that combine quantitative and qualitative data collected through self-reported, behavioral and psychophysiological measures in the eXperience Induction M
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Littlefield, William Joseph II. "Abductive Humanism: Comparative Advantages of Artificial Intelligence and Human Cognition According to Logical Inference." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1554480107736449.

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Ventura, Pedro Paulo Ramos. "A racionalidade indutiva: em que consiste?" Universidade do Vale do Rio dos Sinos, 2015. http://www.repositorio.jesuita.org.br/handle/UNISINOS/4959.

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Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2015-11-24T11:08:18Z No. of bitstreams: 1 Pedro Paulo Ramos Ventura_.pdf: 550481 bytes, checksum: 6aef3b27d08345e9e4d1968a0d4eee14 (MD5)<br>Made available in DSpace on 2015-11-24T11:08:18Z (GMT). No. of bitstreams: 1 Pedro Paulo Ramos Ventura_.pdf: 550481 bytes, checksum: 6aef3b27d08345e9e4d1968a0d4eee14 (MD5) Previous issue date: 2015-09-29<br>CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>O objeto geral dessa dissertação consiste em investigar a natureza dos raciocínios indutivos partindo da an
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Bartelborth, Thomas. "Die erkenntnistheoretischen Grundlagen induktiven Schließens." Universitätsbibliothek Leipzig, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-84565.

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Im Buch werden verschiedene Ansätze zum induktiven Schließen vorgestellt und daraufhin analysiert, welche Erfolgsaussichten sie jeweils bieten, die erkenntnistheoretischen Ziele der Wissenschaften zu erreichen. Dabei werden u.a. die konsverativen Induktionsschlüsse, Falsifikationsverfahren und die eliminative Induktion, der Schluss auf die beste Erklärung und vor allem der Bayesianismus besprochen. Außerdem geht es um die Verfahren der klassischen Statistik sowie moderne Verfahren des kausalen Schließens. Dazu wird ein erkenntnistheoretischer Rahmen angegeben, in dem die verschiedenen Begründu
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Bartelborth, Thomas. "Die erkenntnistheoretischen Grundlagen induktiven Schließens." Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-220168.

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Das vorliegende Buch stellt eine überarbeitete und deutlich erweiterte zweite Ausgabe meines gleichnamigen Buches von 2012 dar. Es wendet sich in Form eines Lehrbuchs sowohl an Anfänger wie Fortgeschrittene der Wissenschaftstheorie sowie an Wissenschaftler, die sich dafür interessieren, wann Daten eine bestimmte Theorie begründen und wie stark die Bestätigung der Theorie durch die Daten ist. Im Vordergrund steht dabei immer die erkenntnistheoretische Frage, ob bestimmte Begründungsverfahren die Ziele der Wissenschaften in überzeugender Weise verfolgen oder ob es dagegen substantielle Einwände
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Books on the topic "Induction and inference"

1

Fred, Wilson. Hume's defence of causal inference. University of Toronto Press, 1997.

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Moore, Kathleen Dean. Inductive arguments: A field guide. Kendall/Hunt, 1986.

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Rodríguez, Andrés Rivadulla. Probabilidad e inferencia científica. Anthropos, 1991.

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Realismus von subjektiven Wahrscheinlichkeiten: Eine kognitionspsychologische Analyse inferentieller Prozesse beim Overconfidence-Phänomen. P. Lang, 1987.

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Truth strategy simplified. Thales, 1999.

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Levi, Isaac. For the sake of the argument: Ramsey Test conditionals, inductive inference, and nonmonotonic reasoning. Cambridge University Press, 1996.

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Kornblith, Hilary. Inductive inference and its natural ground: An essay in naturalistic epistemology. MIT Press, 1993.

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Zabell, S. L. Symmetry and its discontents: Essays on the history of inductive probability. Cambridge University Press, 2006.

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Thomas, Dewing R., and Perini Matthew J. 1973-, eds. Inference: Teaching students to develop hypotheses, evaluate evidence, and draw logical conclusions : a strategic teacher PLC guide. ASCD, 2012.

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Zilles, Sandra. Uniform learning of recursive functions. Akademische Verlagsgesellschaft Aka, 2003.

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Book chapters on the topic "Induction and inference"

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Svozil, Karl. "Induction by Rule Inference." In Physical (A)Causality. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70815-7_7.

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Sakama, Chiaki, Tony Ribeiro, and Katsumi Inoue. "Learning Inference by Induction." In Inductive Logic Programming. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40566-7_13.

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Juillé, Hugues, and Jordan B. Pollack. "A stochastic search approach to grammar induction." In Grammatical Inference. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0054070.

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Schulte, Oliver. "Logically Reliable Inductive Inference." In Induction, Algorithmic Learning Theory, and Philosophy. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6127-1_6.

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Kešelj, Vlado. "Grammar model and grammar induction in the system NL PAGE." In Grammatical Inference. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0054064.

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Rivadulla, Andrés. "Bayesian Induction and Statistical Inference." In Spanish Studies in the Philosophy of Science. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0305-0_5.

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Adriaans, Pieter, and Ceriel Jacobs. "Using MDL for Grammar Induction." In Grammatical Inference: Algorithms and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11872436_24.

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Hozzová, Petra, Laura Kovács, and Andrei Voronkov. "Integer Induction in Saturation." In Automated Deduction – CADE 28. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79876-5_21.

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AbstractIntegers are ubiquitous in programming and therefore also in applications of program analysis and verification. Such applications often require some sort of inductive reasoning. In this paper we analyze the challenge of automating inductive reasoning with integers. We introduce inference rules for integer induction within the saturation framework of first-order theorem proving. We implemented these rules in the theorem prover Vampire and evaluated our work against other state-of-the-art theorem provers. Our results demonstrate the strength of our approach by solving new problems coming from program analysis and mathematical properties of integers.
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Coste, François, and Jacques Nicolas. "How considering incompatible state mergings may reduce the DFA induction search tree." In Grammatical Inference. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0054076.

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Sasahara, Kazutoshi, Yasuki Kakishita, Tetsuro Nishino, Miki Takahasi, and Kazuo Okanoya. "Constructing Song Syntax by Automata Induction." In Grammatical Inference: Algorithms and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11872436_33.

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Conference papers on the topic "Induction and inference"

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Saidi, Alexandre. "Using Grammatical Inference For Structure Induction." In 2006 15th International Conference on Computing. IEEE, 2006. http://dx.doi.org/10.1109/cic.2006.71.

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Cohen, Shay B., and Noah A. Smith. "Variational inference for grammar induction with prior knowledge." In the ACL-IJCNLP 2009 Conference Short Papers. Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1667583.1667585.

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Goggans, Paul M., and Ying Chi. "Electromagnetic Induction Landmine Detection Using Bayesian Model Comparison." In Bayesian Inference and Maximum Entropy Methods In Science and Engineering. AIP, 2006. http://dx.doi.org/10.1063/1.2423316.

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Boussada, Zina, Mouna Ben Hamed, and Lassaad Sbita. "Adaptive neuro-fuzzy inference system into induction motor: Estimation." In 2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM). IEEE, 2014. http://dx.doi.org/10.1109/cistem.2014.7077071.

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Devi Sekar, Booma, and Ming Chui Dong. "Bayesian fuzzy inference nets online fault diagnosis of induction motor." In Signal Processing (ICICS). IEEE, 2009. http://dx.doi.org/10.1109/icics.2009.5397664.

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Knuth, Kevin H. "Source separation as an exercise in logical induction." In The twentieth international workshop on bayesian inference and maximum entropy methods in science and engineering. AIP, 2001. http://dx.doi.org/10.1063/1.1381898.

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Janier, Josefina B., M. F. Zaim Zaharia, and Samsul Ariffin Abd Karim. "Use of fuzzy inference system for condition monitoring of induction motor." In INTERNATIONAL CONFERENCE ON FUNDAMENTAL AND APPLIED SCIENCES 2012: (ICFAS2012). AIP, 2012. http://dx.doi.org/10.1063/1.4757510.

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Afshar, H. M., and P. Sunehag. "On rules of induction and the raven paradox in Bayesian confirmation theory." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2013). AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4903713.

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Gowthami, K., and L. Kalaivani. "Fault Classification of Induction Motor Bearing Using Adaptive Neuro Fuzzy Inference System." In 2019 Fifth International Conference on Electrical Energy Systems (ICEES). IEEE, 2019. http://dx.doi.org/10.1109/icees.2019.8719244.

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Kashif, A. R., and M. A. Saqib. "Soft Starting of an Induction Motor using Adaptive Neuro Fuzzy Inference System." In 2007 International Conference on Electrical Engineering. IEEE, 2007. http://dx.doi.org/10.1109/icee.2007.4287353.

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Reports on the topic "Induction and inference"

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Griffiths, Thomas. Fast, Flexible, Rational Inductive Inference. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada590143.

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Griffiths, Thomas L. Theory-based Bayesian Models of Inductive Inference. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada566965.

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Tenenbaum, Joshua B. Theory-Based Bayesian Models of Inductive Inference. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada567195.

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Helman, P. Inductive inference model of anomaly and misuse detection. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/427002.

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