Academic literature on the topic 'Ambiguïté inductive'
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Journal articles on the topic "Ambiguïté inductive"
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Hecking, Patrick C. "Energy Ambiguity and the Inductive Rail Oscillator." Physics Teacher 45, no. 7 (October 2007): 445–49. http://dx.doi.org/10.1119/1.2783156.
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Petermann, Moritz Karl Herbert, and Hannes Zacher. "Development of a behavioral taxonomy of agility in the workplace." International Journal of Managing Projects in Business 14, no. 6 (June 14, 2021): 1383–405. http://dx.doi.org/10.1108/ijmpb-02-2021-0051.
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PurposeThe concept of workforce agility has become increasingly popular in recent years. However, defining it has sparked much discussion and ambiguity. Recognizing this ambiguity, this paper aims to inductively develop a behavioral taxonomy of workforce agility.Design/methodology/approachThe authors interviewed 36 experts in the field of agility and used concept mapping and the critical incident technique to create a behavioral taxonomy.FindingsThe authors identified a behavioral taxonomy consisting of ten dimensions: (1) accepting changes, (2) decision making, (3) creating transparency, (4) collaboration, (5) reflection, (6) user centricity, (7) iteration, (8) testing, (9) self-organization, and (10) learning.Research limitations/implicationsThe authors’ research contributes to the literature in that it offers an inductively developed behavioral taxonomy of workforce agility with ten dimensions. It further adds to the literature by tying the notion of workforce agility to the performance literature.Practical implicationsThe authors’ results suggest that it might be beneficial for companies to take all workforce agility dimensions into account when creating an agile culture, starting agile projects, integrating agility into hiring decisions or evaluating employee performance.Originality/valueThis paper uses an inductive approach to define workforce agility as a set of behavioral dimensions, integrating the scientific as well as the practitioner literature on agility.
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Watanabe, Satosi. "Inductive ambiguity and the limits of artificial intelligence." Computational Intelligence 3, no. 1 (February 1987): 304–9. http://dx.doi.org/10.1111/j.1467-8640.1987.tb00217.x.
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Moneta, Giovanni B. "Ambiguity, inductive systems, and the modeling of subjective probability judgements." Philosophical Psychology 4, no. 2 (January 1991): 267–85. http://dx.doi.org/10.1080/09515089108573030.
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Wang, Xi-Zhao, Ling-Cai Dong, and Jian-Hui Yan. "Maximum Ambiguity-Based Sample Selection in Fuzzy Decision Tree Induction." IEEE Transactions on Knowledge and Data Engineering 24, no. 8 (August 2012): 1491–505. http://dx.doi.org/10.1109/tkde.2011.67.
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Wolbers, Jeroen, Kees Boersma, and Peter Groenewegen. "Introducing a Fragmentation Perspective on Coordination in Crisis Management." Organization Studies 39, no. 11 (August 31, 2017): 1521–46. http://dx.doi.org/10.1177/0170840617717095.
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Coordination theories are characterized primarily by a focus on integration, in which coordination is aimed at achieving a coherent and unified set of actions. However, in the extreme settings in which fast-response organizations operate, achieving integration is often challenging. In this study we employ a fragmentation perspective to show that dealing with ambiguity and discontinuity is not only inevitable for these organizations, it is a key characteristic of coordinating. We undertook an inductive, qualitative field study on how officers in command from the fire department, medical services, and police coordinate during emergency response operations. Our data are based on a four-year multi-site field study of 40 emergency management exercises in the Netherlands, combined with 56 retrospective interviews. Our inductive analysis of this data shows that officers use three coordination practices to deal with ambiguity and discontinuity: working around procedures, delegating tasks, and demarcating expertise. We theorize our findings by showing how these practices lead to conditions in which fragmentation can become an effective method of coordination. In doing so, we provide a more complete understanding of the process of coordinating in fast-response settings that will benefit both crisis management practice and organizational theory.
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Corley, Kevin G., and Dennis A. Gioia. "Identity Ambiguity and Change in the Wake of a Corporate Spin-off." Administrative Science Quarterly 49, no. 2 (June 2004): 173–208. http://dx.doi.org/10.2307/4131471.
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We report on the findings of an inductive, interpretive case study of organizational identity change in the spin-off of a Fortune 100 company's top-performing organizational unit into an independent organization. We examined the processes by which the labels and meanings associated with the organization's identity underwent changes during and after the spin-off, as well as how the organization responded to these changes. The emergent model of identity change revolved around a collective state of identity ambiguity, the details of which provide insight into processes whereby organizational identity change can occur. Additionally, our findings revealed previously unreported aspects of organizational change, including organization members' collective experience of “change overload” and the presence of temporal identity discrepancies in the emergence of the identity ambiguity.
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MORDESON, JOHN N., TERRY D. CLARK, ADAM D. GRIESER, and MARK J. WIERMAN. "AN INDUCTIVE APPROACH TO DETERMINING CAUSALITY IN COMPARATIVE POLITICS: A FUZZY SET ALTERNATIVE." New Mathematics and Natural Computation 03, no. 02 (July 2007): 191–202. http://dx.doi.org/10.1142/s1793005707000719.
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Political science typically tests hypotheses by demonstrating correlations between variables. The most commonly employed method for doing so is regression analysis. The approach is essentially crisp, which carries with it a number of questionable assumptions about the data. Political phenomena such as democracy or stability often involve measuring the degree to which a particular observation demonstrates the qualities of the category. A fuzzy set approach better captures the inherent ambiguity in classifying our observations relative to such categories. However, the attempt to establish correlations between fuzzy sets in the social sciences has been plagued by the priority ranking issue. We illustrate the potential that Jeffrey's Rule has to overcome this difficulty.
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Sankey, Howard. "How Not to Know the Principle of Induction." International Journal for the Study of Skepticism 11, no. 3 (June 7, 2021): 243–54. http://dx.doi.org/10.1163/22105700-bja10020.
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Abstract In The Problems of Philosophy, Bertrand Russell presents a justification of induction based on a principle he refers to as “the principle of induction.” Owing to the ambiguity of the notion of probability, the principle of induction may be interpreted in two different ways. If interpreted in terms of the subjective interpretation of probability, the principle of induction may be known a priori to be true. But it is unclear how this should give us any confidence in our use of induction, since induction is applied to the external world outside our minds. If the principle is interpreted in light of the objective interpretation of induction, it cannot be known to be true a priori, since it applies to frequencies that occur in the world outside the mind, and these cannot be known without recourse to experience. Russell’s principle of induction therefore fails to provide a satisfactory justification of induction.
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Ustalov, Dmitry, Alexander Panchenko, Chris Biemann, and Simone Paolo Ponzetto. "Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction." Computational Linguistics 45, no. 3 (September 2019): 423–79. http://dx.doi.org/10.1162/coli_a_00354.
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We present a detailed theoretical and computational analysis of the Watset meta-algorithm for fuzzy graph clustering, which has been found to be widely applicable in a variety of domains. This algorithm creates an intermediate representation of the input graph, which reflects the “ambiguity” of its nodes. Then, it uses hard clustering to discover clusters in this “disambiguated” intermediate graph. After outlining the approach and analyzing its computational complexity, we demonstrate that Watset shows competitive results in three applications: unsupervised synset induction from a synonymy graph, unsupervised semantic frame induction from dependency triples, and unsupervised semantic class induction from a distributional thesaurus. Our algorithm is generic and can also be applied to other networks of linguistic data.
Dissertations / Theses on the topic "Ambiguïté inductive"
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Bledsoe, Jordan Ray. "Tolerance of Ambiguity and Inductive vs. Deductive Preference Across Languages and Proficiency Levels at BYU: A Correlational Study." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2657.
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This study explored the relationships between roughly 330 participants' tolerance of ambiguity and their preference for either an inductive or deductive presentation of grammar by means of an online survey. Most participants were college students. Other variables examined included years of study, in-country experience, proficiency, age, year in school, and language of choice. A new instrument for measuring inductive vs. deductive preference was also created based on Cohen, Oxford, and Chi's (2001) Learning Style Survey (LSS). Results showed weak correlations between: tolerance of ambiguity and inductive preference (.25), tolerance of ambiguity and proficiency (.25), and inductive preference and proficiency (.20). Additional findings include: a correlation (.62) between proficiency and years of instruction received, a slight correlation (.22) between age and tolerance of ambiguity, no correlation between years of language instruction and tolerance of ambiguity, no correlation between studying abroad and ambiguity tolerance or inductive/deductive preference, and no correlation between age and inductive vs. deductive preference. Lastly, data was analyzed to determine whether language was a contributing factor or not, and only the participants learning Japanese were significantly different (p = .004), with a higher preference for inductive learning.
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Wallin, Moa. "Ambiguous synonyms : Implementing an unsupervised WSD system for division of synonym clusters containing multiple senses." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157622.
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When clustering together synonyms, complications arise in cases of the words having multiple senses as each sense’s synonyms are erroneously clustered together. The task of automatically distinguishing word senses in cases of ambiguity, known as word sense disambiguation (WSD), has been an extensively researched problem over the years. This thesis studies the possibility of applying an unsupervised machine learning based WSD-system for analysing existing synonym clusters (N = 149) and dividing them correctly when two or more senses are present. Based on sense embeddings induced from a large corpus, cosine similarities are calculated between sense embeddings for words in the clusters, making it possible to suggest divisions in cases where different words are closer to different senses of a proposed ambiguous word. The system output is then evaluated by four participants, all experts in the area. The results show that the system does not manage to correctly divide the clusters in more than 31% of the cases according to the participants. Moreover, it is discovered that some differences exist between the participants’ ratings, although none of the participants predominantly agree with the system’s division of the clusters. Evidently, further research and improvements are needed and suggested for the future.
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Zennaki, Othman. "Construction automatique d'outils et de ressources linguistiques à partir de corpus parallèles." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM006/document.
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Cette thèse porte sur la construction automatique d’outils et de ressources pour l’analyse linguistique de textes des langues peu dotées. Nous proposons une approche utilisant des réseaux de neurones récurrents (RNN - Recurrent Neural Networks) et n'ayant besoin que d'un corpus parallèle ou mutli-parallele entre une langue source bien dotée et une ou plusieurs langues cibles moins bien ou peu dotées. Ce corpus parallèle ou mutli-parallele est utilisé pour la construction d'une représentation multilingue des mots des langues source et cible. Nous avons utilisé cette représentation multilingue pour l’apprentissage de nos modèles neuronaux et nous avons exploré deux architectures neuronales : les RNN simples et les RNN bidirectionnels. Nous avons aussi proposé plusieurs variantes des RNN pour la prise en compte d'informations linguistiques de bas niveau (informations morpho-syntaxiques) durant le processus de construction d'annotateurs linguistiques de niveau supérieur (SuperSenses et dépendances syntaxiques). Nous avons démontré la généricité de notre approche sur plusieurs langues ainsi que sur plusieurs tâches d'annotation linguistique. Nous avons construit trois types d'annotateurs linguistiques multilingues: annotateurs morpho-syntaxiques, annotateurs en SuperSenses et annotateurs en dépendances syntaxiques, avec des performances très satisfaisantes. Notre approche a les avantages suivants : (a) elle n'utilise aucune information d'alignement des mots, (b) aucune connaissance concernant les langues cibles traitées n'est requise au préalable (notre seule supposition est que, les langues source et cible n'ont pas une grande divergence syntaxique), ce qui rend notre approche applicable pour le traitement d'un très grand éventail de langues peu dotées, (c) elle permet la construction d'annotateurs multilingues authentiques (un annotateur pour N langages)This thesis focuses on the automatic construction of linguistic tools and resources for analyzing texts of low-resource languages. We propose an approach using Recurrent Neural Networks (RNN) and requiring only a parallel or multi-parallel corpus between a well-resourced language and one or more low-resource languages. This parallel or multi-parallel corpus is used to construct a multilingual representation of words of the source and target languages. We used this multilingual representation to train our neural models and we investigated both uni and bidirectional RNN models. We also proposed a method to include external information (for instance, low-level information from Part-Of-Speech tags) in the RNN to train higher level taggers (for instance, SuperSenses taggers and Syntactic dependency parsers). We demonstrated the validity and genericity of our approach on several languages and we conducted experiments on various NLP tasks: Part-Of-Speech tagging, SuperSenses tagging and Dependency parsing. The obtained results are very satisfactory. Our approach has the following characteristics and advantages: (a) it does not use word alignment information, (b) it does not assume any knowledge about target languages (one requirement is that the two languages (source and target) are not too syntactically divergent), which makes it applicable to a wide range of low-resource languages, (c) it provides authentic multilingual taggers (one tagger for N languages)
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Specia, Lucia. "Uma abordagem híbrida relacional para a desambiguação lexical de sentido na tradução automática." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-05122007-205308/.
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A comunicação multilíngue é uma tarefa cada vez mais imperativa no cenário atual de grande disseminação de informações em diversas línguas. Nesse contexto, são de grande relevância os sistemas de tradução automática, que auxiliam tal comunicação, automatizando-a. Apesar de ser uma área de pesquisa bastante antiga, a Tradução Automática ainda apresenta muitos problemas. Um dos principais problemas é a ambigüidade lexical, ou seja, a necessidade de escolha de uma palavra, na língua alvo, para traduzir uma palavra da língua fonte quando há várias opções de tradução. Esse problema se mostra ainda mais complexo quando são identificadas apenas variações de sentido nas opções de tradução. Ele é denominado, nesse caso, \"ambigüidade lexical de sentido\". Várias abordagens têm sido propostas para a desambiguação lexical de sentido, mas elas são, em geral, monolíngues (para o inglês) e independentes de aplicação. Além disso, apresentam limitações no que diz respeito às fontes de conhecimento que podem ser exploradas. Em se tratando da língua portuguesa, em especial, não há pesquisas significativas voltadas para a resolução desse problema. O objetivo deste trabalho é a proposta e desenvolvimento de uma nova abordagem de desambiguação lexical de sentido, voltada especificamente para a tradução automática, que segue uma metodologia híbrida (baseada em conhecimento e em córpus) e utiliza um formalismo relacional para a representação de vários tipos de conhecimentos e de exemplos de desambiguação, por meio da técnica de Programação Lógica Indutiva. Experimentos diversos mostraram que a abordagem proposta supera abordagens alternativas para a desambiguação multilíngue e apresenta desempenho superior ou comparável ao do estado da arte em desambiguação monolíngue. Adicionalmente, tal abordagem se mostrou efetiva como mecanismo auxiliar para a escolha lexical na tradução automática estatísticaCrosslingual communication has become a very imperative task in the current scenario with the increasing amount of information dissemination in several languages. In this context, machine translation systems, which can facilitate such communication by providing automatic translations, are of great importance. Although research in Machine Translation dates back to the 1950\'s, the area still has many problems. One of the main problems is that of lexical ambiguity, that is, the need for lexical choice when translating a source language word that has several translation options in the target language. This problem is even more complex when only sense variations are found in the translation options, a problem named \"sense ambiguity\". Several approaches have been proposed for word sense disambiguation, but they are in general monolingual (for English) and application-independent. Moreover, they have limitations regarding the types of knowledge sources that can be exploited. Particularly, there is no significant research aiming to word sense disambiguation involving Portuguese. The goal of this PhD work is the proposal and development of a novel approach for word sense disambiguation which is specifically designed for machine translation, follows a hybrid methodology (knowledge and corpus-based), and employs a relational formalism to represent various kinds of knowledge sources and disambiguation examples, by using Inductive Logic Programming. Several experiments have shown that the proposed approach overcomes alternative approaches in multilingual disambiguation and achieves higher or comparable results to the state of the art in monolingual disambiguation. Additionally, the approach has shown to effectively assist lexical choice in a statistical machine translation system
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Apidianaki, Marianna. "Acquisition automatique de sens pour la désambiguïsation et la sélection lexicale en traduction." Phd thesis, Université Paris-Diderot - Paris VII, 2008. http://tel.archives-ouvertes.fr/tel-00322285.
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Le travail présenté dans cette thèse explore la question de l'acquisition automatique de sens pour la désambiguïsation lexicale dans un cadre de traduction. Partant de l'hypothèse du besoin de conformité des inventaires sémantiques utilisés pour la désambiguïsation dans le cadre d'applications précises, la problématique du repérage des sens se situe dans un cadre bilingue et le traitement s'oriente vers la traduction. Nous proposons une méthode d'acquisition de sens permettant d'établir des correspondances sémantiques de granularité variable entre les mots de deux langues en relation de traduction. L'induction de sens est effectuée par une combinaison d'informations distributionnelles et traductionnelles extraites d'un corpus bilingue parallèle. La méthode proposée étant à la fois non supervisée et entièrement fondée sur des données, elle est, par conséquent, indépendante de la langue et permet l'élaboration d'inventaires sémantiques relatifs aux domaines représentés dans les corpus traités.
Les résultats de cette méthode sont exploités par une méthode de désambiguïsation lexicale, qui attribue un sens à de nouvelles instances de mots ambigus en contexte, et par une méthode de sélection lexicale, qui propose leur traduction la plus adéquate. On propose finalement une évaluation pondérée des résultats de désambiguïsation et de sélection lexicale, en nous fondant sur l'inventaire construit par la méthode d'acquisition de sens.
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Silvestre, Ricardo Sousa. "Induction and plausibility : a formal approach from the sandpoint of artificial intelligence." Thèse, 2005. http://hdl.handle.net/1866/16488.
Full textBook chapters on the topic "Ambiguïté inductive"
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Liénard, Jean-Sylvain. "Variability, Ambiguity and Attention: A Perception Model Based on Analog Induction." In Human and Machine Perception 2, 87–98. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4809-6_9.
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Doležel, Michal. "Defining TestOps: Collaborative Behaviors and Technology-Driven Workflows Seen as Enablers of Effective Software Testing in DevOps." In Agile Processes in Software Engineering and Extreme Programming – Workshops, 253–61. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58858-8_26.
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Abstract Context: DevOps is an increasingly popular approach to software development and software operations. Being understood as mutually integrated, both activities have been re-united under one single label. In contrast to traditional software development activities, DevOps promotes numerous fundamental changes, and the area of software testing is not an exception. Yet, the exact appearance of software testing within DevOps is poorly understood, so is the notion of TestOps. Objective: This paper explores TestOps as a concept rooted in industrial practice. Method: To provide a pluralist outline of practitioners’ views on What is TestOps, the YouTube platform was searched for digital content containing either “TestOps” or “DevTestOps” in the content title. Through a qualitative lens, the resulting set was systematically annotated and thematically analyzed in an inductive manner. Results: Referring to DevOps, practitioners use the notion of TestOps when characterizing a conceptual shift that occurs within the area of software testing. As a matter of fact, two dominant categories were found in the data: (i) TestOps as a new organizational philosophy; (ii) TestOps as an innovative software technique (i.e. process supported by technology). A set of high-level themes within each of these categories was identified and described. Conclusion: The study outlines an inconsistency in practitioner perspectives on the nature of TestOps. To decrease the identified conceptual ambiguity, the proposed model posits two complementary meanings of TestOps.
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"Statistical Ambiguity and Inductive Inconsistencies." In Analyomen / Analyomen, 345–52. De Gruyter, 1994. http://dx.doi.org/10.1515/9783110885675-033.
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