Search results for "Machine"

showing 10 items of 2592 documents

From optimization to algorithmic differentiation: a graph detour

2021

This manuscript highlights the work of the author since he was nominated as "Chargé de Recherche" (research scientist) at Centre national de la recherche scientifique (CNRS) in 2015. In particular, the author shows a thematic and chronological evolution of his research interests:- The first part, following his post-doctoral work, is concerned with the development of new algorithms for non-smooth optimization.- The second part is the heart of his research in 2020. It is focused on the analysis of machine learning methods for graph (signal) processing.- Finally, the third and last part, oriented towards the future, is concerned with (automatic or not) differentiation of algorithms for learnin…

Signaux sur graphesOptimisation convexe[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]High dimensional dataGraph signalsStatistiques en grande dimensionAutomatic differentiation[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC][STAT.ML] Statistics [stat]/Machine Learning [stat.ML]Convex optimizationDifférentiation automatique
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An Online Metric Learning Approach through Margin Maximization

2011

This work introduces a method based on learning similarity measures between pairs of objects in any representation space that allows to develop convenient recognition algorithms. The problem is formulated through margin maximization over distance values so that it can discriminate between similar (intra-class) and dissimilar (inter-class) elements without enforcing positive definiteness of the metric matrix as in most competing approaches. A passive-aggressive approach has been adopted to carry out the corresponding optimization procedure. The proposed approach has been empirically compared to state of the art metric learning on several publicly available databases showing its potential bot…

Similarity (geometry)business.industryComputationDimensionality reductionSemi-supervised learningMachine learningcomputer.software_genrek-nearest neighbors algorithmPositive definitenessMetric (mathematics)Artificial intelligenceRepresentation (mathematics)businesscomputerMathematics
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“Ciberneretica” simondoniana

2023

This paper analyses the reception of Norbert Wiener’s cybernetics in France with particular attention to the perspective proposed by Gilbert Simondon. The debate that has emerged since the 1950s among the philosophers of the so-called French Theory opens up the possibility of speaking of a revised cybernetics on the basis of the need to go beyond the structural analogy between living being and machine. The present paper investigates the relationship between Simondon and cybernetics by considering his 1953 manuscript, his two doctoral theses and his speech at the Royaumont conference in 1962. It also focuses on the concept of ecceità that Simondon uses in order to speak from the qualitative …

Simondon information cybernetics french theory machineSettore M-FIL/06 - Storia Della Filosofia
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Predicting Next Dialogue Action in Emotionally Loaded Conversation

2021

This paper reports on creating a neural network model for prediction of the next action in a dialogue considering conversation history, i.e. entities, context variables and emotion indicators marking emotionally loaded user utterances. Several experiments were performed to see how the information about emotions affects the accuracy of the model. For the purposes of these experiments, a dataset containing 206 dialogs in Latvian in the transport inquiry domain was created containing both neutral and emotionally loaded utterances. To see if the proposed next dialogue action prediction model architecture is suitable for other languages, the original Latvian utterances were translated into Engli…

Single modelArtificial neural networkComputer sciencebusiness.industrymedia_common.quotation_subjectLatviancomputer.software_genrelanguage.human_languageDomain (software engineering)Model architectureAction (philosophy)languageConversationArtificial intelligencebusinesscomputerNatural language processingmedia_commonTransformer (machine learning model)
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Mašīnu elementi

1939

SkrūvesGultņiTransmisiju daļasPārvadiMachine partsĶīļi:TECHNOLOGY::Engineering mechanics [Research Subject Categories]RēdzesMašīnbūvniecībaMašīnu elementiKniedesZobrati
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Autonomous maritime ecosystem : digital concepts and business case : results from the JYU TJTSM54 course on advanced topics on systems development

2019

Smart containterSmart harbourAutonomous vehicleArtificial intelligenceCargo trackingDigitalisation of maritime industrytekoälymeriteollisuusmerikuljetusautomaatioMachine learningRemote pilotagedigitalisaatiosysteemiajatteluContainerSoftware Engineering Method and TheorytavaraliikenneUnmanned vesselEthically aligned designkontitSEMATprojektioppiminenMaritime industryMaritime roboticsDigitalisationStudent projectmiehittämättömät ajoneuvotTracking in maritime industryälytekniikkaEthics of Artificial Intelligence
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Editorial: Robot-Assisted Learning and Education

2020

Social roboteducational roboticsrobotics for collaborative learninglcsh:Mechanical engineering and machineryHRI (human robot interaction)lcsh:QA75.5-76.95Computer Science ApplicationsHuman–computer interactionEducational roboticsrobot-assisted learningArtificial Intelligencesocial roboticsRobotlcsh:TJ1-1570lcsh:Electronic computers. Computer sciencetechnology-enhanced learningPsychologyFrontiers in Robotics and AI
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Effect of sodium ascorbate on the bond strength of all-in-one adhesive systems to NaOCl-treated dentin

2015

Background: Ascorbic acid and its salts are low-toxicity products, which are routinely used in food industries as antioxidants. The aim of the present study was to evaluate the effect of 10% sodium ascorbate on the bond strength of two all-in-one adhesive systems to NaOCl-treated dentin. Material and Methods: After exposing the dentin on the facial surface of 90 sound human premolars and mounting in an acrylic resin mold, the exposed dentin surfaces were polished with 600-grit SiC paper under running water. Then the samples were randomly divided into 6 groups of 15. Groups 1 and 4 were the controls, in which no surface preparation was carried out. In groups 2 and 5 the dentin surfaces were …

Sodium ascorbateUniversal testing machineBond strengthResearchOdontologíaAscorbic acid:CIENCIAS MÉDICAS [UNESCO]Ciencias de la saludOperative Dentistry and Endodonticschemistry.chemical_compoundmedicine.anatomical_structurechemistryDistilled waterSodium hypochloriteUNESCO::CIENCIAS MÉDICASDentinmedicineAdhesiveGeneral DentistryNuclear chemistry
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Effect of antioxidants on the shear bond strength of composite resin to enamel following extra-coronal bleaching

2019

Background Recently patients need faster treatments, and delaying restoration is not possible following bleaching treatment. The purpose of this study was to determine the effect of antioxidants, namely 10% sodium ascorbate, 10% alpha-tocopherol, 10% green tea and 10% Aloe vera extract on the shear bond strength of composite resin to enamel following extra-coronal bleaching using 40% hydrogen peroxide. Material and Methods Seventy premolars were randomly assigned into 7 groups of 10 each. Group 1: bleaching treatment and no antioxidants application. Group 2: composite was built-up immediately after bleaching. Group 3: bleached specimens received composite build-up delayed by 2 weeks. Group …

Sodium ascorbateUniversal testing machineEnamel paintbiologyResearchComposite number030206 dentistrybiology.organism_classificationGreen tea:CIENCIAS MÉDICAS [UNESCO]Aloe veraShear bondOperative Dentistry and Endodontics03 medical and health scienceschemistry.chemical_compound0302 clinical medicinechemistry030220 oncology & carcinogenesisvisual_artUNESCO::CIENCIAS MÉDICASvisual_art.visual_art_mediumHydrogen peroxideGeneral DentistryNuclear chemistry
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RANKING DECISION MAKING UNITS BY MEANS OF SOFT COMPUTING DEA MODELS

2011

This paper presents a method for ranking a set of decision making units according to their level of efficiency and which takes into account uncertainty in the data. Efficiency is analysed using fuzzy DEA techniques and the ranking is based on the statistical analysis of cases that include representative situations. The method enables the removal of the sometimes unrealistic hypothesis of a perfect trade-off between increased inputs and outputs. This model is compared with other DEA models that work with imprecise or fuzzy data. As an illustration, we apply our ranking method to the evaluation of a group of Spanish seaports, as well as teams playing in the Spanish football league. We compar…

Soft computingComputer sciencebusiness.industryFootballMachine learningcomputer.software_genreFuzzy logicSet (abstract data type)Fuzzy dataRankingArtificial IntelligenceControl and Systems EngineeringStatistical analysisArtificial intelligencebusinesscomputerSoftwareInformation SystemsInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
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