Search results for " set"

showing 10 items of 2095 documents

Economic Crises, Sovereign Debt Restructurings and the Shifting Landscape of International Investment Law

2016

International audience

sovereign debt restructuring[SHS.DROIT]Humanities and Social Sciences/Lawinvestor-state dispute settlement (ISDS)[SHS.DROIT] Humanities and Social Sciences/Lawinternational investment laweconomic crisisComputingMilieux_MISCELLANEOUS[ SHS.DROIT ] Humanities and Social Sciences/Law
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Recensione a R. Darnton, L’età dell’informazione. Una guida non convenzionale al Settecento

2007

La recensione prende in considerazione gli otto saggi che forniscono al «comune lettore colto» una via d’accesso alla comprensione delle mentalità settecentesca. Un’insolita guida al Settecento, dunque, secolo complesso e multiforme per eccellenza, di cui Darnton intende svelare gli addentellati col mondo contemporaneo.

storia culturale settecentescacircolazione delle idee
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Highmann's Theorem on Discrete Sets

2006

In this paper we investigate properties of different classes of discrete sets with respect to the partial-order of subpicture. In particular we take in consideration the classes of convex polyominoes and L-convex polyominoes. In the first part of the paper we study closure properties of these classes with respect the order and we give a new characterization of L-convex polyominoes. In the second part we pose the question to extend Higman’s theoremto discrete sets. We give a negative answer in the general case and we prove that the set of L-convex polyominoes is well-partially-ordered by using a representation of L-convex polyominoes in terms of words of a regular language.

subpicture order and wellpartial-ordering.Discrete sets polyominoes and L-convex polyominoe
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On arithmetic sums of Ahlfors-regular sets

2021

Let $A,B \subset \mathbb{R}$ be closed Ahlfors-regular sets with dimensions $\dim_{\mathrm{H}} A =: \alpha$ and $\dim_{\mathrm{H}} B =: \beta$. I prove that $$\dim_{\mathrm{H}} [A + \theta B] \geq \alpha + \beta \cdot \tfrac{1 - \alpha}{2 - \alpha}$$ for all $\theta \in \mathbb{R} \, \setminus \, E$, where $\dim_{\mathrm{H}} E = 0$.

sum-product problemkombinatoriikkaMathematics::General TopologyHausdorff dimensionMetric Geometry (math.MG)11B30 (primary) 28A80 (secondary)Mathematics - Metric GeometryMathematics - Classical Analysis and ODEsAhlfors-regular setsaritmetiikkaClassical Analysis and ODEs (math.CA)FOS: MathematicsMathematics::Metric GeometryMathematics - CombinatoricsmittateoriaCombinatorics (math.CO)Geometry and TopologyAnalysisGeometric and Functional Analysis
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Das ritual der unterwerfung Stefan Nemanjas unter Maunel I. Komnenos (1172)

2013

This article investigates the ceremonial of the subjection of the Serbian zupan Stefan Nemanja to the Byzantine emperor Manuel I Komnenos (1172) and compares it with similar events of the period in question. It argues for a strong influence of western forms of conflict resolution (?deditio?) in the ceremonial.

symbolic communicationtransfer of the ritualbiologysubmissionlcsh:History (General) and history of Europemedia_common.quotation_subjectGeneral MedicineArtAncient historybiology.organism_classificationlanguage.human_languagelcsh:DlanguageEmperorTheologySerbianconflict settlementByzantine architecturemedia_commonZbornik radova Vizantoloskog instituta
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Openness and Discreteness

2013

The aim of this chapter is to study conditions under which a mapping of finite distortion is open (maps open sets to open sets) and discrete (preimage of each point is a discrete set).

symbols.namesakeDirac measureDistortionMathematical analysisOpen setsymbolsOpenness to experiencePoint (geometry)Conformal mapDiscrete setNonlinear elasticityMathematics
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Errors Generated by Uncertain Data

2014

In this chapter, we study effects caused by incompletely known data. In practice, the data are never known exactly, therefore the results generated by a mathematical model also have a limited accuracy. Then, the whole subject of error analysis should be treated in a different manner, and accuracy of numerical solutions should be considered within a framework of a more complicated scheme, which includes such notions as maximal and minimal distances to the solution set and its radius.

symbols.namesakeUncertain dataError analysisDirichlet boundary conditionScheme (mathematics)Subject (grammar)symbolsSolution setApplied mathematicsLogarithmic derivativeRadiusMathematics
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A novel heuristic memetic clustering algorithm

2013

In this paper we introduce a novel clustering algorithm based on the Memetic Algorithm meta-heuristic wherein clusters are iteratively evolved using a novel single operator employing a combination of heuristics. Several heuristics are described and employed for the three types of selections used in the operator. The algorithm was exhaustively tested on three benchmark problems and compared to a classical clustering algorithm (k-Medoids) using the same performance metrics. The results show that our clustering algorithm consistently provides better clustering solutions with less computational effort.

ta113Determining the number of clusters in a data setBiclusteringClustering high-dimensional dataDBSCANComputingMethodologies_PATTERNRECOGNITIONTheoretical computer scienceCURE data clustering algorithmCorrelation clusteringCanopy clustering algorithmCluster analysisAlgorithmMathematics2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
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Gear classification and fault detection using a diffusion map framework

2015

This article proposes a system health monitoring approach that detects abnormal behavior of machines. Diffusion map is used to reduce the dimensionality of training data, which facilitates the classification of newly arriving measurements. The new measurements are handled with Nyström extension. The method is trained and tested with real gear monitoring data from several windmill parks. A machine health index is proposed, showing that data recordings can be classified as working or failing using dimensionality reduction and warning levels in the low dimensional space. The proposed approach can be used with any system that produces high-dimensional measurement data. peerReviewed

ta113Diffusion (acoustics)Training setta214Computer scienceDimensionality reductiondiffusion mapExtension (predicate logic)computer.software_genreFault detection and isolationfault detectionsystem health monitoringArtificial IntelligenceSignal ProcessingComputer Vision and Pattern RecognitionData miningCluster analysiscomputerSoftwareCurse of dimensionalityclustering
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Twister Tries

2015

Many commonly used data-mining techniques utilized across research fields perform poorly when used for large data sets. Sequential agglomerative hierarchical non-overlapping clustering is one technique for which the algorithms’ scaling properties prohibit clustering of a large amount of items. Besides the unfavorable time complexity of O(n 2 ), these algorithms have a space complexity of O(n 2 ), which can be reduced to O(n) if the time complexity is allowed to rise to O(n 2 log2 n). In this paper, we propose the use of locality-sensitive hashing combined with a novel data structure called twister tries to provide an approximate clustering for average linkage. Our approach requires only lin…

ta113Hierarchical agglomerative clusteringta112Fuzzy clusteringBrown clusteringComputer scienceSingle-linkage clusteringcomputer.software_genreHierarchical clusteringLocality-sensitive hashingData setCURE data clustering algorithmlocality-sensitive hashingaverage linkageData miningHierarchical clustering of networkslinear complexityCluster analysishierarchical clusteringAlgorithmcomputerTime complexityProceedings of the 2015 ACM SIGMOD International Conference on Management of Data
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