Search results for "pret"

showing 10 items of 2250 documents

Efficiency improvement of DC* through a Genetic Guidance

2017

DC∗ is a method for generating interpretable fuzzy information granules from pre-classified data. It is based on the subsequent application of LVQ1 for data compression and an ad-hoc procedure based on A∗ to represent data with the minimum number of fuzzy information granules satisfying some interpretability constraints. While being efficient in tackling several problems, the A∗ procedure included in DC∗ may happen to require a long computation time because the A∗ algorithm has exponential time complexity in the worst case. In this paper, we approach the problem of driving the search process of A∗ by suggesting a close-to-optimal solution that is produced through a Genetic Algorithm (GA). E…

Exponential complexity0209 industrial biotechnologyMathematical optimizationComputationProcess (computing)02 engineering and technologyFuzzy logic020901 industrial engineering & automationGenetic algorithm0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAlgorithmMathematicsInterpretabilityData compression2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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Influence of maternal employment on neonatal prematurity and/or low birth weight

2008

Objetivo: Realizar una revisión de los estudios epidemiológicos sobre la influencia de la situación laboral y el tipo de ocupación materna en el nacimiento de niños con bajo peso y pretérmino. Material y métodos: Se realizó una búsqueda bibliográfica en las bases de datos Medline y EMBASE. Los artículos seleccionados se clasificaron siguiendo un protocolo que recogía las características de los estudios, la situación laboral materna, el tipo de ocupación y el resultado del embarazo. Resultados: Se incluyeron 21 artículos en los que mayoritariamente no se observan diferencias significativas entre las amas de casa y las empleadas en ninguno de los 2 efectos. En las investigaciones en las que s…

Exposición maternaPretérminoPretermBajo peso al nacimientoLow birth weightMedicina Preventiva y Salud PúblicaObstetrics and GynecologyMaternal exposureMujer trabajadoraWorking woman
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Importancia de la música como medio de comunicación intercultural en el proceso educativo

2013

El objetivo de este artículo es mostrar cómo la naturaleza metodológica y estructural de la música lleva al educando a comprender, a apreciar la realidad cultural que le envuelve; puesto que la música es fruto de un intercambio de experiencias teórico-prácticas en diferentes zonas del mundo y su metodología de aprendizaje es activa y participativa, necesitando de la colaboración y el entendimiento entre los intérpretes. Todo ello lleva a considerar la música como imagen del tiempo y de la sociedad que la ha producido, y, debido a ello, se convierte en una herramienta idónea para trabajar la interculturalidad en el aula. Este artículo toma como base uno de los objetivos de la educación artís…

Expression (architecture)Cultural diversityPedagogySociologycomputer.software_genrecomputerInterpreterEducationTeoría de la Educación. Revista Interuniversitaria
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Language-Game: Calculus or Pragmatic Act?

2013

We have tried to make the potentiality inherent in the concept of the linguistic game evident by taking it back to its original context in the work of Wittgenstein. This paper aims to re-examine some features of Wittgenstein’s thought, considering in particular the notion of ‘language-game’. We believe that the language-game might play a role in overcoming once and for all the classic distinction between semantics and pragmatics. We deal with the exegetical discussion of the notion ‘language-game’ as it was interpreted in two different senses: as a synonym of calculus or as a minimal unit of linguistic activity that is directed to obtaining certain pragmatic effects in a societal context. T…

Expression (architecture)Interpretation (philosophy)CalculusLanguage-gameSociologySign languagePragmaticsSemanticsSymbol (formal)Gesture
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Interpretation of the Co K-edge EXAFS in LaCoO3 using molecular dynamics simulations

2011

Abstract Temperature dependent (180–400 K) Co K-edge EXAFS spectra from perovskite-type rhombohedral ( R 3 ¯ c ) LaCoO 3 have been successfully interpreted using a combination of classical NVT molecular dynamics (MD) and ab initio multiple-scattering (MS) theory. The method allowed us to account entirely for thermal disorder and to interpret reliably the contribution from the coordination shells beyond the first one into the total EXAFS spectrum taking into account many-body effects. The best agreement between experimental and configuration-averaged EXAFS spectra was obtained for pure ionic La 3+ and partially ionic Co 1.35+ and O 1.45− charges indicating the mixed ionic-covalent character …

Extended X-ray absorption fine structureChemistryAb initioIonic bondingThermodynamicsGeneral ChemistryTrigonal crystal systemCondensed Matter PhysicsSpectral lineInterpretation (model theory)CrystallographyMolecular dynamicsK-edgeGeneral Materials ScienceSolid State Ionics
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On the interpretability and computational reliability of frequency-domain Granger causality

2017

This Correspondence article is a comment which directly relates to the paper “A study of problems encountered in Granger causality analysis from a neuroscience perspective” (Stokes and Purdon, 2017). We agree that interpretation issues of Granger causality (GC) in neuroscience exist, partially due to the historically unfortunate use of the name “causality”, as described in previous literature. On the other hand, we think that Stokes and Purdon use a formulation of GC which is outdated (albeit still used) and do not fully account for the potential of the different frequency-domain versions of GC; in doing so, their paper dismisses GC measures based on a suboptimal use of them. Furthermore, s…

FOS: Computer and information sciences0301 basic medicineTheoretical computer scienceImmunology and Microbiology (all)Computer scienceTime series analysiMathematics - Statistics TheoryStatistics Theory (math.ST)Statistics - ApplicationsGeneral Biochemistry Genetics and Molecular BiologyMethodology (stat.ME)Causality (physics)03 medical and health sciences0302 clinical medicinegranger causalityGranger causalityCorrespondenceFOS: MathematicsApplications (stat.AP)Physiological oscillationGeneral Pharmacology Toxicology and PharmaceuticsTime seriessignal processingStatistical Methodologies & Health Informaticsfrequency-domain connectivityReliability (statistics)Statistics - MethodologyInterpretabilityGranger-Geweke causalityBiochemistry Genetics and Molecular Biology (all)Interpretation (logic)General Immunology and Microbiologybrain connectivityGeneral MedicineArticlesvector autoregressive models030104 developmental biologyMathematics and StatisticsWildcardVector autoregressive modelPharmacology Toxicology and Pharmaceutics (all)Frequency domaintime series analysisspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaBrain connectivity; Directed coherence; Frequency-domain connectivity; Granger-Geweke causality; Physiological oscillations; Spectral decomposition; Time series analysis; Vector autoregressive models; Biochemistry Genetics and Molecular Biology (all); Immunology and Microbiology (all); Pharmacology Toxicology and Pharmaceutics (all)directed coherence030217 neurology & neurosurgeryphysiological oscillations
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Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability

2020

Despite significant effort, building models that are both interpretable and accurate is an unresolved challenge for many pattern recognition problems. In general, rule-based and linear models lack accuracy, while deep learning interpretability is based on rough approximations of the underlying inference. Using a linear combination of conjunctive clauses in propositional logic, Tsetlin Machines (TMs) have shown competitive performance on diverse benchmarks. However, to do so, many clauses are needed, which impacts interpretability. Here, we address the accuracy-interpretability challenge in machine learning by equipping the TM clauses with integer weights. The resulting Integer Weighted TM (…

FOS: Computer and information sciencesBoosting (machine learning)Theoretical computer scienceinteger-weighted Tsetlin machineGeneral Computer ScienceComputer scienceComputer Science - Artificial Intelligence0206 medical engineeringNatural language understandingInference02 engineering and technologycomputer.software_genre0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceTsetlin machineVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550InterpretabilityArtificial neural networkLearning automatabusiness.industryDeep learningGeneral Engineeringinterpretable machine learningrule-based learninginterpretable AIPropositional calculusSupport vector machineArtificial Intelligence (cs.AI)TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESXAIPattern recognition (psychology)020201 artificial intelligence & image processinglcsh:Electrical engineering. Electronics. Nuclear engineeringArtificial intelligencebusinesslcsh:TK1-9971computer020602 bioinformaticsInteger (computer science)
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Polysemy in Controlled Natural Language Texts

2015

Computational semantics and logic-based controlled natural languages (CNL) do not address systematically the word sense disambiguation problem of content words, i.e., they tend to interpret only some functional words that are crucial for construction of discourse representation structures. We show that micro-ontologies and multi-word units allow integration of the rich and polysemous multi-domain background knowledge into CNL thus providing interpretation for the content words. The proposed approach is demonstrated by extending the Attempto Controlled English (ACE) with polysemous and procedural constructs resulting in a more natural CNL named PAO covering narrative multi-domain texts.

FOS: Computer and information sciencesComputer Science - Computation and LanguageInterpretation (logic)Computer sciencebusiness.industryRepresentation (arts)Content wordcomputer.software_genrelanguage.human_languageControlled natural languageComputational semanticslanguageAttempto Controlled EnglishArtificial intelligencePolysemybusinessComputation and Language (cs.CL)computerNatural languageNatural language processing
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Towards the evaluation of automatic simultaneous speech translation from a communicative perspective

2021

In recent years, automatic speech-to-speech and speech-to-text translation has gained momentum thanks to advances in artificial intelligence, especially in the domains of speech recognition and machine translation. The quality of such applications is commonly tested with automatic metrics, such as BLEU, primarily with the goal of assessing improvements of releases or in the context of evaluation campaigns. However, little is known about how the output of such systems is perceived by end users or how they compare to human performances in similar communicative tasks. In this paper, we present the results of an experiment aimed at evaluating the quality of a real-time speech translation engine…

FOS: Computer and information sciencesComputer Science - Computation and LanguageMachine translationEnd userComputer sciencebusiness.industrymedia_common.quotation_subjectSample (statistics)Context (language use)Intelligibility (communication)computer.software_genreSpeech translationQuality (business)Artificial intelligencebusinessComputation and Language (cs.CL)computerInterpreterNatural language processingmedia_commonProceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)
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Learning User's Confidence for Active Learning

2013

In this paper, we study the applicability of active learning in operative scenarios: more particularly, we consider the well-known contradiction between the active learning heuristics, which rank the pixels according to their uncertainty, and the user's confidence in labeling, which is related to both the homogeneity of the pixel context and user's knowledge of the scene. We propose a filtering scheme based on a classifier that learns the confidence of the user in labeling, thus minimizing the queries where the user would not be able to provide a class for the pixel. The capacity of a model to learn the user's confidence is studied in detail, also showing the effect of resolution is such a …

FOS: Computer and information sciencesComputer Science - Machine LearningActive learning (machine learning)Computer scienceComputer Vision and Pattern Recognition (cs.CV)SVM0211 other engineering and technologiesComputer Science - Computer Vision and Pattern RecognitionContext (language use)02 engineering and technologyMachine learningcomputer.software_genreTask (project management)Machine Learning (cs.LG)Classifier (linguistics)0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringbad statesElectrical and Electronic Engineeringphotointerpretationuser's confidence021101 geological & geomatics engineeringActive learning (AL)Pixelbusiness.industryRank (computer programming)Image and Video Processing (eess.IV)very high resolution (VHR) imagery020206 networking & telecommunicationsElectrical Engineering and Systems Science - Image and Video ProcessingClass (biology)General Earth and Planetary SciencesArtificial intelligenceHeuristicsbusinesscomputerIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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