Search results for "LEARNING"

showing 10 items of 6669 documents

On the inductive inference of recursive real-valued functions

1999

AbstractWe combine traditional studies of inductive inference and classical continuous mathematics to produce a study of learning real-valued functions. We consider two possible ways to model the learning by example of functions with domain and range the real numbers. The first approach considers functions as represented by computable analytic functions. The second considers arbitrary computable functions of recursive real numbers. In each case we find natural examples of learnable classes of functions and unlearnable classes of functions.

Complex-valued functionGeneral Computer ScienceReal analysisLearning theoryComputable numberInductive inference0102 computer and information sciences02 engineering and technology01 natural sciencesμ-recursive functionComputable analysisTheoretical Computer ScienceAlgebraμ operatorComputable functionReal-valued computationReal-valued function010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAlgorithmComputer Science(all)MathematicsTheoretical Computer Science
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Day-ahead forecasting for photovoltaic power using artificial neural networks ensembles

2016

Solar photovoltaic plants power output forecasting using machine learning techniques can be of a great advantage to energy producers when they are implemented with day-ahead energy market data. In this work a model was developed using a supervised learning algorithm of multilayer perceptron feedforward artificial neural network to predict the next twenty-four hours (day-ahead) power of a solar facility using fetched weather forecast of the following day. Each set of tested network configuration was trained by the historical power output of the plant as a target. For each configuration, one hundred networks ensembles was averaged to give the ability to generalize a better forecast. The train…

ComponentComputer science020209 energyEnergy Engineering and Power Technologyforecasting02 engineering and technologyMachine learningcomputer.software_genrephotovoltaicSet (abstract data type)0202 electrical engineering electronic engineering information engineeringEnergy marketRenewable EnergyStyleStylingSustainability and the EnvironmentArtificial neural networkbusiness.industryFormattingPhotovoltaic systemFeed forwardComponent; Formatting; Insert (key words); Style; Styling; Energy Engineering and Power Technology; Renewable Energy Sustainability and the EnvironmentInsert (key words)Power (physics)Settore ING-IND/31 - ElettrotecnicaMultilayer perceptronArtificial intelligencebusinessartificial neural networkscomputerEnergy (signal processing)2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)
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Comportamentos de suporte e eficácia grupal: o papel mediador dos comportamentos de aprendizagem

2018

Dissertação de Mestrado em Psicologia do Trabalho, das Organizações e dos Recursos Humanos apresentada à Faculdade de Psicologia e de Ciências da Educação Supportive behaviours, defined “as the extent to which team members voluntarily provide assistance to each other when needed during task accomplishment” (Aubé & Rousseau, 2005, p.193), constitute a determinant of Team Effectiveness (Dimas, Rocha, Rebelo, & Lourenço, 2016). The current research aims to clarify further the relationship between Supportive Behaviours and Team Effectiveness criteria, mediated by Team Learning Behaviours. Based on the model of effectiveness Input-Mediator-Outcome-Input (IMOI) from Kozlowski and Ilgen (2006), th…

Comportamentos de aprendizagem em equipaTeamsTeam Learning BehavioursTeam EffectivenessSupportive BehavioursEficácia grupalEquipasComportamentos de suporte
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Towards more Valid Assessment of Learning from Animations

2020

Animated explanations have become an ubiquitous feature of modern educational practice. They provide a distinctive, non-verbal means of presenting information that is particularly appropriate for dynamic subject matter. However, the prevailing approaches used to assess learning from educational animations are almost exclusively verbal. There is thus a clear disconnect between the form of representation students encounter during their learning activity and the very different form of representation used to assess the resulting learning outcomes. This fundamental inconsistency undermines the validity of current assessment approaches and signals the need for a fresh look at how learning from an…

ComprehensionRange (mathematics)Human–computer interactionComputer scienceFeature (machine learning)AnimationRepresentation (mathematics)Subject matter
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COMPREHENSIVE TEACHER’S PROFESSIONALISM FOR CONTENT AND LANGUAGE INTEGRATED PROVISION

2019

T opicality of the problem is determined by several factors as well as the amendments on the Education Law and the General Education Law, which provide for a gradual transition to the acquisition of general secondary education in Latvian only, educational content reform and teachers experience to work in an ethnically and linguistically heterogeneous environment. The aim of the study is to analyse comprehensive school teachers theoretical background and practice experience to work in the content and language integrated teaching and learning approach. Because language not a subject only but a mean of acquiring other subjects in the comprehensive school, too, all teachers need theoretical kno…

Comprehensive schoolSecondary educationGradual transitionInterviewMathematics educationlanguageEducational contentLatvianGeneral educationcollaboration; competence; content and language integrated learning (CLIL)PsychologyCompetence (human resources)language.human_languageSOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference
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Perdió el libro que se compró / había comprado pocos días antes: Reflexiones iniciales en torno al saber gramatical sobre los tiempos verbales del pa…

2007

Carmen.Rdez-Gonzalo@uv.es La alternancia entre los tiempos verbales del pasado en textos escritos exige tener en cuenta diferencias aspectuales poco presentes en el español hablado. Según López García (2005: 162), el sistema de cinco tiempos simples (vengo, venía, vine, vendría, vendré) cubre las necesidades expresivas de los hispanohablantes, aunque los niños emplean menos y muchos hablantes adultos raramente usan otras formas. Los problemas se plantean cuando en lugar de hablar español necesitamos escribirlo y leerlo. Esta necesidad cambia por completo el inventario de tiempos ya que, para articular un texto es preciso dejar muy claro que unos acontecimientos ocurren antes o después de ot…

Compulsory EducationApprentissage grammatical ; Aspect ; Corrélation de temps verbaux ; Séquences pour apprendre de la grammaire ; Educación SecundariAspectEducación SecundariSéquences pour apprendre de la grammaireDidácticaUNESCO::LINGÜÍSTICAAspectoCorrelación de tiempos verbalesApprentissage grammatical:LINGÜÍSTICA [UNESCO]Aprendizaje gramatical ; Aspecto ; Correlación de tiempos verbales ; Secuencias para aprender gramática ; Educación Secundaria ObligatoriaSecuencias para aprender gramáticaGrammatical learningEducación Secundaria ObligatoriaCorrélation de temps verbauxEnseñanza de las HumanidadesCorrelation of verbal tensesAprendizaje gramaticalSequences for learning grammarCompulsory EducationApprentissage grammaticalGrammatical learning ; Aspect ; Correlation of verbal tenses ; Sequences for learning grammar ; Compulsory Education
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The impact of learning difficulties and socioemotional and behavioural problems on transition to postsecondary education or work life in Finland: a f…

2016

AbstractLearning difficulties have been found to dilute the possibilities that young adults have in their educational careers. However, during the last few decades, education has become increasingly important for employment and overall life satisfaction. In the present study, we were interested in the effects of mathematical and reading difficulties and socioemotional and behavioural problems (measured at age 16) on three educational situations at age 21: delayed graduation from upper secondary education, short educational trajectory and not being engaged in education, employment or training (NEET). The participants (N = 597; 304 females, 293 males) were one age cohort of ninth graders in g…

Compulsory educationSpecial educationHealth Professions (miscellaneous)externalising problemsEducationDevelopmental psychologymathematical difficultiesDevelopmental and Educational Psychologymedicineta5160501 psychology and cognitive sciencesreading difficultieseducational careerSocioemotional selectivity theory05 social sciencestransition050301 educationLife satisfactionQuality of working lifesocial problemsEducational attainmentLearning disabilitymedicine.symptomPsychology0503 educationInclusion (education)050104 developmental & child psychologyEuropean Journal of Special Needs Education
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Local operators to detect regions of interest

1997

The performance of a visual system is strongly influenced by the information processing that is done in the early vision phase. The need exists to limit the computation on areas of interest to reduce the total amount of data and their redundancy. This paper describes a new method to drive the attention during the analysis of complex scenes. Two new local operators, based on the computation of local moments and symmetries, are combined to drive the selection. Experimental results on real data are also reported. © 1997 Elsevier Science B.V.

ComputationEarly visioncomputer.software_genreMachine learningFacial recognition systemSegmentationArtificial IntelligenceRedundancy (engineering)Selection (linguistics)AttentionSegmentationLimit (mathematics)Face recognitionElectrical and Electronic Engineering1707MathematicsSettore INF/01 - Informaticabusiness.industryInformation processingSignal ProcessingSymmetry operatorComputer Vision and Pattern RecognitionArtificial intelligenceData miningbusinesscomputerSoftwarePattern Recognition Letters
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Approximation of functions over manifolds : A Moving Least-Squares approach

2021

We present an algorithm for approximating a function defined over a $d$-dimensional manifold utilizing only noisy function values at locations sampled from the manifold with noise. To produce the approximation we do not require any knowledge regarding the manifold other than its dimension $d$. We use the Manifold Moving Least-Squares approach of (Sober and Levin 2016) to reconstruct the atlas of charts and the approximation is built on-top of those charts. The resulting approximant is shown to be a function defined over a neighborhood of a manifold, approximating the originally sampled manifold. In other words, given a new point, located near the manifold, the approximation can be evaluated…

Computational Geometry (cs.CG)FOS: Computer and information sciencesComputer Science - Machine LearningClosed manifolddimension reductionMachine Learning (stat.ML)010103 numerical & computational mathematicsComplex dimensionTopology01 natural sciencesMachine Learning (cs.LG)Volume formComputer Science - GraphicsStatistics - Machine Learningmanifold learningApplied mathematics0101 mathematicsfunktiotMathematicsManifold alignmentAtlas (topology)Applied Mathematicshigh dimensional approximationManifoldGraphics (cs.GR)Statistical manifold010101 applied mathematicsregression over manifoldsComputational Mathematicsout-of-sample extensionComputer Science - Computational Geometrynumeerinen analyysimonistotapproksimointimoving least-squaresCenter manifold
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Optimal rates of convergence for persistence diagrams in Topological Data Analysis

2013

Computational topology has recently known an important development toward data analysis, giving birth to the field of topological data analysis. Topological persistence, or persistent homology, appears as a fundamental tool in this field. In this paper, we study topological persistence in general metric spaces, with a statistical approach. We show that the use of persistent homology can be naturally considered in general statistical frameworks and persistence diagrams can be used as statistics with interesting convergence properties. Some numerical experiments are performed in various contexts to illustrate our results.

Computational Geometry (cs.CG)FOS: Computer and information sciences[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT][STAT.TH] Statistics [stat]/Statistics Theory [stat.TH]Topological Data analysis Persistent homology minimax convergence rates geometric complexes metric spacesGeometric Topology (math.GT)Mathematics - Statistics TheoryStatistics Theory (math.ST)[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][STAT.TH]Statistics [stat]/Statistics Theory [stat.TH][INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG][ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH][ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG]Machine Learning (cs.LG)Computer Science - LearningMathematics - Geometric Topology[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]FOS: Mathematics[ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG]Computer Science - Computational Geometry[MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT]
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