Search results for "descriptive"

showing 10 items of 494 documents

Tally languages accepted by alternating multitape finite automata

1997

We consider k-tape 1-way alternating finite automata (k-tape lafa). We say that an alternating automaton accepts a language L\(\subseteq\)(Σ*)k with f(n)-bounded maximal (respectively, minimal) leaf-size if arbitrary (respectively, at least one) accepting tree for any (w1, w2,..., wk) ∈ L has no more than $$f\mathop {(\max }\limits_{1 \leqslant i \leqslant k} \left| {w_i } \right|)$$ leaves. The main results of the paper are the following. If k-tape lafa accepts language L over one-letter alphabet with o(log n)-bounded maximal leaf-size or o(log log n)-bounded minimal leaf-size then the language L is semilinear. Moreover, if a language L is accepted with o(log log(n))-bounded minimal (respe…

CombinatoricsTree (descriptive set theory)Finite-state machineLog-log plotAlphabetBinary logarithmComputer Science::Formal Languages and Automata TheoryMathematics
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Modeling Spatial Data Pooled over Time: Schematic Representation and Monte Carlo Evidences

2015

The spatial autocorrelation issue is now well established, and it is almost impossible to deal with spatial data without considering this reality. In addition, recent developments have been devoted to developing methods that deal with spatial autocorrelation in panel data. However, little effort has been devoted to dealing with spatial data (cross-section) pooled over time. This paper endeavours to bridge the gap between the theoretical modeling development and the application based on spatial data pooled over time. The paper presents a schematic representation of how spatial links can be expressed, depending on the nature of the variable, when combining the spatial multidirectional relatio…

Complete spatial randomnessComputer scienceMonte Carlo method[SHS.ECO]Humanities and Social Sciences/Economics and FinanceVariable (computer science)Autoregressive modelSpatial descriptive statisticsEconometrics[ SHS.ECO ] Humanities and Social Sciences/Economies and financesSpatial econometricsmodeling spatialRepresentation (mathematics)[SHS.ECO] Humanities and Social Sciences/Economics and FinanceSpatial analysisMonte CarloComputingMilieux_MISCELLANEOUS
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Descriptive Complexity, Lower Bounds and Linear Time

1999

This paper surveys two related lines of research: Logical characterizations of (non-deterministic) linear time complexity classes, and non-expressibility results concerning sublogics of existential second-order logic. Starting from Fagin’s fundamental work there has been steady progress in both fields with the effect that the weakest logics that are used in characterizations of linear time complexity classes are closely related to the strongest logics for which inexpressibility proofs for concrete problems have been obtained. The paper sketches these developments and highlights their connections as well as the obstacles that prevent us from closing the remaining gap between both kinds of lo…

Computational complexity theoryComputer scienceDescriptive complexity theoryMathematical proofCombinatoricsTuring machinesymbols.namesakeTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESRegular languageCalculusComplexity classsymbolsUnary functionTime complexity
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Constructive Optimization of Vulcanization Installations in Order to Improve the Performance of Conveyor Belts

2019

Conveyor belts of special importance must have superior mechanical characteristics. The joining by vulcanization of the conveyor belts allows to obtain superior performances, but it has been found that at the vulcanizing joint of the conveyor belts, there is a &ldquo

Computer science020209 energyfinite element methodMechanical engineering02 engineering and technologylcsh:TechnologyConstructiveArticlelaw.inventionconstructive optimizationjointingNatural rubberlaw0502 economics and business0202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencelcsh:Microscopylcsh:QC120-168.85050210 logistics & transportationInsert (composites)lcsh:QH201-278.5lcsh:T“bell”-type defect05 social sciencesVulcanizationconveyor beltsFinite element methodStiffeninglcsh:TA1-2040visual_artvisual_art.visual_art_mediumlcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971Materials
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Constitutive Models for the Tensile Behaviour of TRM Materials: Literature Review and Experimental Verification

2021

In recent years, the scientific community has focused its interest on innovative inorganic matrix composite materials, namely TRM (Textile Reinforced Mortar). This class of materials satisfies the need of retrofitting existing masonry buildings, by keeping the compatibility with the substrate. Different recent studies were addressed to improve the knowledge on their mechanical behaviour and some theoretical models were proposed for predicting the tensile response of TRM strips. However, this task is complex due to the heterogeneity of the constituent materials and the stress transfer mechanism developed between matrix and fabric through the interface in the cracked stage. This paper present…

Computer science0211 other engineering and technologies02 engineering and technologylcsh:TechnologyArticleTextile Reinforced Mortar (TRM)Strengthening Tensile behaviour Textile Reinforced Mortar (TRM)Stress (mechanics)021105 building & constructionUltimate tensile strengthRetrofittingGeneral Materials Sciencelcsh:Microscopytensile behaviourReliability (statistics)lcsh:QC120-168.85lcsh:QH201-278.5business.industrylcsh:TStructural engineeringMasonry021001 nanoscience & nanotechnologySettore ICAR/09 - Tecnica Delle CostruzioniTensile behaviorlcsh:TA1-2040Compatibility (mechanics)strengtheninglcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineeringMortar0210 nano-technologybusinesslcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971Materials
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Least-squares community extraction in feature-rich networks using similarity data

2021

We explore a doubly-greedy approach to the issue of community detection in feature-rich networks. According to this approach, both the network and feature data are straightforwardly recovered from the underlying unknown non-overlapping communities, supplied with a center in the feature space and intensity weight(s) over the network each. Our least-squares additive criterion allows us to search for communities one-by-one and to find each community by adding entities one by one. A focus of this paper is that the feature-space data part is converted into a similarity matrix format. The similarity/link values can be used in either of two modes: (a) as measured in the same scale so that one may …

Computer scienceEconomicsKernel FunctionsSocial Sciences02 engineering and technologyLeast squaresInfographicsTranslocation GeneticGeographical LocationsMedical Conditions0202 electrical engineering electronic engineering information engineeringMedicine and Health SciencesPsychologyCluster AnalysisOperator TheoryData ManagementMultidisciplinaryApplied MathematicsSimulation and ModelingQRExperimental PsychologyEuropeFeature (computer vision)Research DesignPhysical SciencesMedicine020201 artificial intelligence & image processingGraphsAlgorithmsNetwork AnalysisNetwork analysisResearch ArticleComputer and Information SciencesScienceFeature vectorScale (descriptive set theory)Research and Analysis MethodsColumn (database)Similarity (network science)020204 information systemsParasitic DiseasesLeast-Squares AnalysisFeature databusiness.industryData VisualizationBiology and Life SciencesPattern recognitionTropical DiseasesEconomic AnalysisMalariaPeople and PlacesArtificial intelligencebusinessMathematicsPLoS ONE
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Machine learning techniques demonstrating individual movement patterns of the vertebral column: the fingerprint of spinal motion

2022

Surface topography systems enable the capture of spinal dynamic movement; however, it is unclear whether vertebral dynamics are unique enough to identify individuals. Therefore, in this study, we investigated whether the identification of individuals is possible based on dynamic spinal data. Three different data representations were compared (automated extracted features using contrastive loss and triplet loss functions, as well as simple descriptive statistics). High accuracies indicated the possible existence of a personal spinal 'fingerprint', therefore enabling subject recognition. The present work forms the basis for an objective comparison of subjects and the transfer of the method to…

Computer scienceMovementBiomedical EngineeringBioengineeringMotion (physics)Machine LearningMotionTriplet lossmedicineHumansDescriptive statisticsMovement (music)business.industryWork (physics)Fingerprint (computing)Pattern recognitionGeneral MedicineSpineComputer Science ApplicationsHuman-Computer InteractionIdentification (information)medicine.anatomical_structureNeural Networks ComputerArtificial intelligencebusinessVertebral column
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Set similarity joins on mapreduce

2018

Set similarity joins, which compute pairs of similar sets, constitute an important operator primitive in a variety of applications, including applications that must process large amounts of data. To handle these data volumes, several distributed set similarity join algorithms have been proposed. Unfortunately, little is known about the relative performance, strengths and weaknesses of these techniques. Previous comparisons are limited to a small subset of relevant algorithms, and the large differences in the various test setups make it hard to draw overall conclusions. In this paper we survey ten recent, distributed set similarity join algorithms, all based on the MapReduce paradigm. We emp…

Computer scienceProcess (engineering)General EngineeringJoinsScale (descriptive set theory)02 engineering and technologycomputer.software_genreSet (abstract data type)Range (mathematics)Operator (computer programming)Similarity (network science)020204 information systems0202 electrical engineering electronic engineering information engineeringJoin (sigma algebra)020201 artificial intelligence & image processingData miningcomputerProceedings of the VLDB Endowment
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A Large-Scale Empirical Evaluation of Cross-Validation and External Test Set Validation in (Q)SAR.

2013

(Q)SAR model validation is essential to ensure the quality of inferred models and to indicate future model predictivity on unseen compounds. Proper validation is also one of the requirements of regulatory authorities in order to accept the (Q)SAR model, and to approve its use in real world scenarios as alternative testing method. However, at the same time, the question of how to validate a (Q)SAR model, in particular whether to employ variants of cross-validation or external test set validation, is still under discussion. In this paper, we empirically compare a k-fold cross-validation with external test set validation. To this end we introduce a workflow allowing to realistically simulate t…

Computer sciencemedia_common.quotation_subjectOrganic ChemistryScale (descriptive set theory)Variance (accounting)computer.software_genreCross-validationComputer Science ApplicationsModel validationWorkflowStructural BiologyCheminformaticsTest setDrug DiscoveryMolecular MedicineQuality (business)Data miningcomputermedia_commonMolecular informatics
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Evaluation sensorielle. Actia. Guide de bonnes pratiques

2014

Complete work aimed at the users of the research; absent

ComputingMilieux_THECOMPUTINGPROFESSIONsensory evaluation[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritiondescriptive testdifference test[SDV.AEN] Life Sciences [q-bio]/Food and NutritionInformationSystems_MODELSANDPRINCIPLEShedonic testtime intensityComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSsensory methodologytemporal dominance of sensationwillingness to pay[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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