Search results for "generalization"

showing 10 items of 250 documents

Haldane Model at finite temperature

2019

We consider the Haldane model, a 2D topological insulator whose phase is defined by the Chern number. We study its phases as temperature varies by means of the Uhlmann number, a finite temperature generalization of the Chern number. Because of the relation between the Uhlmann number and the dynamical transverse conductivity of the system, we evaluate also the conductivity of the model. This analysis does not show any sign of a phase transition induced by the temperature, nonetheless it gives a better understanding of the fate of the topological phase with the increase of the temperature, and it provides another example of the usefulness of the Uhlmann number as a novel tool to study topolog…

Statistics and ProbabilityPhase transitionGeneralizationFOS: Physical sciencesConductivity01 natural sciences010305 fluids & plasmasCondensed Matter - Strongly Correlated ElectronsPhase (matter)0103 physical sciencesStatistical physics010306 general physicsCondensed Matter - Statistical MechanicsPhysicstopological insulatorQuantum PhysicsChern classStatistical Mechanics (cond-mat.stat-mech)Strongly Correlated Electrons (cond-mat.str-el)Topological phase of matter phase transition geometric phase quantum transportStatistical and Nonlinear PhysicsTransverse planeTopological insulatorStatistics Probability and UncertaintyQuantum Physics (quant-ph)Sign (mathematics)
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Improvement and generalization of arm motor performance through motor imagery practice

2005

This study compares the improvement and generalization of arm motor performance after physical or mental training in a motor task requiring a speed-accuracy tradeoff. During the pre- and post-training sessions, 40 subjects pointed with their right arm as accurately and as fast as possible toward targets placed in the frontal plane. Arm movements were performed in two different workspaces called right and left paths. During the training sessions, which included only the right path, subjects were divided into four training groups (n = 10): (i) the physical group, subjects overtly performed the task; (ii) the mental group, subjects imagined themselves performing the task; (iii) the active cont…

AdultMalemedicine.medical_specialtyGeneralizationTask (project management)Motor imageryPhysical medicine and rehabilitationmedicineHumansLearningCommunicationElectromyographybusiness.industryMovement (music)General NeuroscienceEye movementBiomechanical PhenomenaElectrophysiologyMotor SkillsPractice PsychologicalDuration (music)Data Interpretation StatisticalCoronal planeArmImaginationFemalebusinessMotor learningPsychologyAlgorithmsPsychomotor PerformanceNeuroscience
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A method for fitting multi-component decay curves

1982

Abstract A generalization of a non-iterative method recently proposed by Mukoyama for the fitting of two-component decay curve is presented. Two modifications of the procedure are also suggested, by which the influence of the statistical fluctuations of the data may be reduced. Results of fairly good quality are obtained also for three- and, to a lesser extent, for four-component decay curves.

Quality (physics)GeneralizationComponent (thermodynamics)General EngineeringStatistical physicsStatistical fluctuationsDecay curveMathematicsNuclear Instruments and Methods in Physics Research
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On stable geometries

1994

Within the concept of projective lattice geometry we are considering the class of stable geometries which have also been introduced in [14]. The investigation of their basic properties will result in fundamental structure theorems which especially give a lattice-geometric characterization of free left modules of rank ≥6 over proper right Bezout rings of stable rank 2. This yields a proper generalization of previous results of ours.

Pure mathematicsDifferential geometryRank (linear algebra)GeneralizationHyperbolic geometryStructure (category theory)Geometry and TopologyAlgebraic geometryLattice (discrete subgroup)MathematicsProjective geometryGeometriae Dedicata
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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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Progressive and habitual aspects in Central Mande

2004

This paper examines the marking of progressive and habitual aspects in a cluster of closely related languages (Central Mande) and in a number of dialects in one of these languages (Manding) within the framework of grammaticalization theory. It is shown that the habitual forms go back to a generalization of the progressive aspect and that the progressive forms do derive from locative periphrastic constructions. Furthermore, evidence is provided for the fact that the evolution of progressives in Central Mande occurs in morphological cycles and that the various synchronic progressive constructions can be classified into different layers of grammaticalization. Finally, the consequences of the d…

Linguistics and LanguageHistoryGeneralizationLocative caseGrammaticalizationLanguage and LinguisticsLinguisticsLingua
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The effect of long context exposure on cued conditioning and c-fos expression in the rat forebrain

2004

The c-fos expression was used to study the neural substrates of the cued fear conditioning acquisition, preceded by a short exposure versus a long exposure to the conditioning context. A long-context exposure (either during the night or during the day) prior to conditioning, was associated with low freezing in the learning test. Differences in the c-fos expression of CA1, CA3, BL Amygdala, LS and BNST were found between the short- or long-context groups with a pre-exposure before cued conditioning. Ce Amygdala showed no differences in the c-fos expression labeling. We reported the hippocampal c-fos activation during the cued fear conditioning acquisition. Specifically, the CA1 activation co…

Diagnostic ImagingMaleHippocampusCell CountContext (language use)Amygdalac-FosGeneralization PsychologicalRats Sprague-DawleyBehavioral NeuroscienceProsencephalonConditioning PsychologicalmedicineAnimalsFear conditioningFreezing Reaction CatalepticAssociation (psychology)Cued speechAnalysis of VarianceBehavior AnimalbiologyFearImmunohistochemistryRatsmedicine.anatomical_structureAcoustic StimulationGene Expression Regulationnervous systembiology.proteinConditioningCuesPsychologyProto-Oncogene Proteins c-fosNeuroscienceBehavioural Brain Research
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Experimental studies on continuous speech recognition using neural architectures with “adaptive” hidden activation functions

2010

The choice of hidden non-linearity in a feed-forward multi-layer perceptron (MLP) architecture is crucial to obtain good generalization capability and better performance. Nonetheless, little attention has been paid to this aspect in the ASR field. In this work, we present some initial, yet promising, studies toward improving ASR performance by adopting hidden activation functions that can be automatically learned from the data and change shape during training. This adaptive capability is achieved through the use of orthonormal Hermite polynomials. The “adaptive” MLP is used in two neural architectures that generate phone posterior estimates, namely, a standalone configuration and a hierarch…

VocabularyArtificial neural networkbusiness.industryGeneralizationComputer sciencemedia_common.quotation_subjectSpeech recognitionPattern recognitionTIMITPerceptronField (computer science)Orthonormal basisArtificial intelligencebusinessHidden Markov modelmedia_common2010 IEEE International Conference on Acoustics, Speech and Signal Processing
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Structural Knowledge Extraction from Mobility Data

2016

Knowledge extraction has traditionally represented one of the most interesting challenges in AI; in recent years, however, the availability of large collections of data has increased the awareness that “measuring” does not seamlessly translate into “understanding”, and that more data does not entail more knowledge. We propose here a formulation of knowledge extraction in terms of Grammatical Inference (GI), an inductive process able to select the best grammar consistent with the samples. The aim is to let models emerge from data themselves, while inference is turned into a search problem in the space of consistent grammars, induced by samples, given proper generalization operators. We will …

Process (engineering)Computer scienceGeneralizationmedia_common.quotation_subjectInference02 engineering and technologyMachine learningcomputer.software_genreTheoretical Computer ScienceGrammatical inferenceKnowledge extractionRule-based machine translation020204 information systems0202 electrical engineering electronic engineering information engineeringSearch problemmedia_commonStructural knowledgeGrammarbusiness.industryMobility dataComputer Science (all)020207 software engineeringGrammar inductionArtificial intelligencebusinesscomputerNatural language processing
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Leveraging Specific Contexts and Outcomes to Generalize in Combinatorial Settings

2018

International audience; Generalization is a fundamental aspect of mathematics, and it is a practice with which undergraduate students should engage and gain fluency. It is important for students in combinatorial settings to be able to generalize, but combinatorics lends itself to engagement with specific examples, concrete outcomes, and particular contexts. In this paper, we seek to inform the nature of generalization in combinatorial settings by demonstrating ways in which students leverage specific, concrete settings to engage in generalizing activity in combinatorics. We provide two data examples that highlight ways in which concrete and specific ideas can be leveraged to help students d…

Discrete MathematicsCombinatorics[SHS.EDU]Humanities and Social Sciences/Education[MATH.MATH-HO]Mathematics [math]/History and Overview [math.HO][SHS.EDU] Humanities and Social Sciences/Education[MATH.MATH-HO] Mathematics [math]/History and Overview [math.HO]ComputingMilieux_COMPUTERSANDEDUCATIONGeneralizationExamples
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