Search results for "generalization"

showing 10 items of 250 documents

On modified α-ϕ-fuzzy contractive mappings and an application to integral equations

2016

Abstract We introduce the notion of a modified α-ϕ-fuzzy contractive mapping and prove some results in fuzzy metric spaces for such kind of mappings. The theorems presented provide a generalization of some interesting results in the literature. Two examples and an application to integral equations are given to illustrate the usability of our theory.

integral equationsGeneralization02 engineering and technologyFixed point01 natural sciencesFuzzy logicSettore MAT/05 - Analisi Matematica0202 electrical engineering electronic engineering information engineeringmodified α-ϕ-fuzzy contractive mappingDiscrete Mathematics and Combinatorics0101 mathematicsα-admissible mapping with respect to ηMathematicsDiscrete mathematicsbusiness.industryApplied Mathematicslcsh:MathematicsUsabilitylcsh:QA1-939Integral equationFuzzy metric space010101 applied mathematicsAlgebraintegral equationfixed point020201 artificial intelligence & image processing$alpha$-admissible mapping with respect to $eta$ fixed point modified $alpha$-$phi$-fuzzy contractive mapping integral equationsbusinessAnalysisJournal of Inequalities and Applications
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ON SOME GENERALIZATION OF SMOOTHING PROBLEMS

2015

The paper deals with the generalized smoothing problem in abstract Hilbert spaces. This generalized problem involves particular cases such as the interpolating problem, the smoothing problem with weights, the smoothing problem with obstacles, the problem on splines in convex sets and others. The theorem on the existence and characterization of a solution of the generalized problem is proved. It is shown how the theorem gives already known theorems in special cases as well as some new results.

interpolating splinesBox splineGeneralizationsmoothing splinesRegular polygonHilbert spaceCharacterization (mathematics)CombinatoricsSmoothing splinesymbols.namesakeModeling and Simulationmixed splinesQA1-939symbolsApplied mathematicssplines in convex setsMathematicsAnalysisSmoothingComputingMethodologies_COMPUTERGRAPHICSMathematicsMathematical Modelling and Analysis
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Influence of Perceptual and Conceptual Information on Fear Generalization : A Behavioral and Event-Related Potential Study

2021

Learned fear can be generalized through both perceptual and conceptual information. This study investigated how perceptual and conceptual similarities influence this generalization process. Twenty-three healthy volunteers completed a fear-generalization test as brain activity was recorded in the form of event-related potentials (ERPs). Participants were exposed to a de novo fear acquisition paradigm with four categories of conditioned stimuli (CS): two conceptual cues (animals and furniture); and two perceptual cues (blue and purple shapes). Animals (C+) and purple shapes (P+) were paired with the unconditioned stimulus (US), whereas furniture (C−) and blue shapes (P−) never were. The gener…

learningehdollistuminenconditioningoppiminenyleistämineneducationahdistuneisuushäiriötpelkoERPärsykkeetconceptual-based fear generalization
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Reliability Generalization Study of the Person-Centered Care Assessment Tool

2021

The so-called Person-Centered Care (PCC) model identifies three fundamental principles: changing the focus of attention from the disease to the person, individualizing care, and promoting empowerment. The Person-Centered Care Assessment Tool (P-CAT) has gained wide acceptance as a measure of PCC in recent years due to its brevity and simplicity, as well as its ease of application and interpretation. The objective of this study is to carry out a reliability generalization meta-analysis to estimate the internal consistency of the P-CAT and analyze possible factors that may affect it, such as the year of publication, the care context, the application method, and certain sociodemographic proper…

media_common.quotation_subjectassessmentApplied psychologyPerson-centered careContext (language use)Sample (statistics)reliability generalization meta-analysisAffect (psychology)person-centered care assessment toolBF1-990Variable (computer science)Generalization (learning)PsychologySystematic Reviewmeasurementperson-centered care (PCC)PsychologyEmpowermentReliability (statistics)General Psychologymedia_commonFrontiers in Psychology
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The Principles of Quantum Theory

2013

This chapter develops the formal framework of quantum mechanics: the mathematical tools, generalization and abstraction of the notion of state, representation theory, and a first version of the postulates on which quantum theory rests.

medicine.medical_specialtyComputer scienceGeneralizationQuantum dynamicsHilbert spaceRelationship between string theory and quantum field theoryAbstraction (mathematics)symbols.namesakeOpen quantum systemQuantum stateQuantum mechanicssymbolsQuantum nanosciencemedicine
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Hyper-flexible Convolutional Neural Networks based on Generalized Lehmer and Power Means

2022

Convolutional Neural Network is one of the famous members of the deep learning family of neural network architectures, which is used for many purposes, including image classification. In spite of the wide adoption, such networks are known to be highly tuned to the training data (samples representing a particular problem), and they are poorly reusable to address new problems. One way to change this would be, in addition to trainable weights, to apply trainable parameters of the mathematical functions, which simulate various neural computations within such networks. In this way, we may distinguish between the narrowly focused task-specific parameters (weights) and more generic capability-spec…

neural networkCognitive NeuroscienceLehmer meansyväoppiminenneuroverkotMachine LearningflexibilitykoneoppiminenPower meanArtificial Intelligenceconvolutionadversarial robustnesspoolingNeural Networks Computeractivation functionconvolutionalgeneralization
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Hard to catch: Experimental evidence supports evasive mimicry

2021

Most research on aposematism has focused on chemically defended prey, but the signalling difficulty of capture remains poorly explored. Similar to classical Batesian and Müllerian mimicry related to distastefulness, such ‘evasive aposematism' may also lead to convergence in warning colours, known as evasive mimicry. A prime candidate group for evasive mimicry areAdelphabutterflies, which are agile insects and show remarkable colour pattern convergence. We tested the ability of naive blue tits to learn to avoid and generalizeAdelphawing patterns associated with the difficulty of capture and compared their response to that of birds that learned to associate the same wing patterns with distast…

prey defence0106 biological sciencesEvolutionComputer scienceAposematismModels Biological010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyMüllerian mimicryPredationSongbirds03 medical and health sciencesAvoidance learningGeneralization (learning)AnimalsWings AnimalGeneral Environmental Science030304 developmental biology[SDV.EE]Life Sciences [q-bio]/Ecology environment0303 health sciencesWingconvergenceGeneral Immunology and Microbiologybiology[SDV.BA]Life Sciences [q-bio]/Animal biologyBiological MimicryGeneral MedicineAdelphabiology.organism_classificationBiological EvolutionBatesian mimicrypredator learningEvolutionary biologyPredatory Behavior1181 Ecology evolutionary biologyMimicryevasive aposematismAdelphaGeneral Agricultural and Biological SciencesdistastefulnessButterflies
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The Joint Distribution Criterion and the Distance Tests for Selective Probabilistic Causality

2010

A general definition and a criterion (a necessary and sufficient condition) are formulated for an arbitrary set of external factors to selectively influence a corresponding set of random entities (generalized random variables, with values in arbitrary observation spaces), jointly distributed at every treatment (a set of factor values containing precisely one value of each factor). The random entities are selectively influenced by the corresponding factors if and only if the following condition, called the joint distribution criterion, is satisfied : there is a jointly distributed set of random entities, one entity for every value of every factor, such that every subset of this set that corr…

selective influenceComputer scienceGeneralizationlcsh:BF1-990Value (computer science)systems of random variablescomputer.software_genre050105 experimental psychologyCausality (physics)Set (abstract data type)03 medical and health sciences0302 clinical medicineJoint probability distributionHypothesis and TheoryPsychology0501 psychology and cognitive sciencesstochastically unrelatedGeneral PsychologyDiscrete mathematics05 social sciencesProbabilistic logicexternal factorsstochastic dependencejoint distributionlcsh:PsychologyProbabilistic causalitySum of normally distributed random variablesData miningcomputerRandom variable030217 neurology & neurosurgeryFrontiers in Psychology
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Colour alone matters : no predator generalization among morphs of an aposematic moth

2018

Local warning colour polymorphism, frequently observed in aposematic organisms, is evolutionarily puzzling. This is because variation in aposematic signals is expected to be selected against due to predators' difficulties associating several signals with a given unprofitable prey. One possible explanation for the existence of such variation is predator generalization, which occurs when predators learn to avoid one form and consequently avoid other sufficiently similar forms, relaxing selection for monomorphic signals. We tested this hypothesis by exposing the three different colour morphs of the aposematic wood tiger moth, Arctia plantaginis, existing in Finland to local wild-caught predato…

varoitusväri0106 biological sciences0301 basic medicinepredatorspredator-prey interactionsoppiminengeneralisationta1172ZoologyAposematismBiologywarning coloration010603 evolutionary biology01 natural sciencestäpläsiilikäsgeneettinen monimuotoisuusPredationpolymorphism03 medical and health sciencesArctia plantaginisGeneralization (learning)petoeläimetmatkiminenmothsjäljittelyPredatorEcology Evolution Behavior and Systematicswood tigersaaliseläimetWinglearningCyanistesyöperhosetpredator–prey interactionswood tiger mothbiology.organism_classificationpredator generalization030104 developmental biologywarning signalsMimicryta1181Animal Science and ZoologypreyAnimal Behaviour
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Evolution of signal diversity: predator-prey interactions and the maintenance of warning colour polymorphism in the wood tiger moth Arctia plantaginis

2017

Aposematic organisms avoid predation by advertising defences with warning signals. The theory of aposematism predicts warning signal uniformity, yet variation in warning coloration is widespread. The chemically defended wood tiger moth Arctia plantaginis shows both geographic variation and local polymorphism in warning coloration. In this thesis, I studied whether predation by local avian predators is driving the evolution of wood tiger moth warning colours. The close relatives of the wood tiger moth designated here to genus Arctia do not show similar colour polymorphism. The wood tiger moth is thus apparently under evolutionary radiation and provides a natural laboratory for observing curr…

varoitusvärimuuntelusiilikkäätpredator-prey interactionsmimikryevoluutioaposematismwarning signal evolutiongeneralizationmimicrysaalistustäpläsiilikäspolymorphism
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