Search results for "Probability measure"

showing 2 items of 22 documents

Peptide classification using optimal and information theoretic syntactic modeling

2010

Accepted version of an article published in the journal: Pattern Recognition. Published version available on Sciverse: http://dx.doi.org/10.1016/j.patcog.2010.05.022 We consider the problem of classifying peptides using the information residing in their syntactic representations. This problem, which has been studied for more than a decade, has typically been investigated using distance-based metrics that involve the edit operations required in the peptide comparisons. In this paper, we shall demonstrate that the Optimal and Information Theoretic (OIT) model of Oommen and Kashyap [22] applicable for syntactic pattern recognition can be used to tackle peptide classification problem. We advoca…

VDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 4220206 medical engineeringSequence alignment02 engineering and technologySyntactic pattern recognitionInformation theorySubstitution matrix03 medical and health sciencesArtificial IntelligenceVDP::Medical disciplines: 700::Basic medical dental and veterinary science disciplines: 710::Medical molecular biology: 711030304 developmental biologyMathematicsProbability measure0303 health sciencesbusiness.industryPattern recognitionSimilitudeSupport vector machineSignal ProcessingComputer Vision and Pattern RecognitionArtificial intelligencebusinessClassifier (UML)Algorithm020602 bioinformaticsSoftware
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$$\mathscr {K}$$-Convergence of Finite Volume Solutions of the Euler Equations

2020

We review our recent results on the convergence of invariant domain-preserving finite volume solutions to the Euler equations of gas dynamics. If the classical solution exists we obtain strong convergence of numerical solutions to the classical one applying the weak-strong uniqueness principle. On the other hand, if the classical solution does not exist we adapt the well-known Prokhorov compactness theorem to space-time probability measures that are generated by the sequences of finite volume solutions and show how to obtain the strong convergence in space and time of observable quantities. This can be achieved even in the case of ill-posed Euler equations having possibly many oscillatory s…

symbols.namesakeFinite volume methodSpacetimeCompactness theoremsymbolsApplied mathematicsObservableUniquenessInvariant (physics)Euler equationsMathematicsProbability measure
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