Search results for " set"

showing 10 items of 2095 documents

A Feature Set Decomposition Method for the Construction of Multi-classifier Systems Trained with High-Dimensional Data

2013

Data mining for the discovery of novel, useful patterns, encounters obstacles when dealing with high-dimensional datasets, which have been documented as the "curse" of dimensionality. A strategy to deal with this issue is the decomposition of the input feature set to build a multi-classifier system. Standalone decomposition methods are rare and generally based on random selection. We propose a decomposition method which uses information theory tools to arrange input features into uncorrelated and relevant subsets. Experimental results show how this approach significantly outperforms three baseline decomposition methods, in terms of classification accuracy.

Clustering high-dimensional databusiness.industryComputer sciencePattern recognitionInformation theorycomputer.software_genreUncorrelatedDecomposition method (queueing theory)Data miningArtificial intelligencebusinessFeature setcomputerClassifier (UML)Curse of dimensionality
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Bayesian versus data driven model selection for microarray data

2014

Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from Statistics to Computer Science. In this beautiful area, one of the most difficult challenges is a particular instance of the model selection problem, i.e., the identification of the correct number of clusters in a dataset. In what follows, for ease of reference, we refer to that instance still as model selection. It is an important part of any statistical analysis. The techniques used for solving it are mainly either Bayesian or data-driven, and are both based on internal knowledge. That is, they use information obtained by processing the input data. A…

Clustering Model selection Bayesian information criterion Akaike information criterion Minimum message length BioinformaticsSettore INF/01 - InformaticaComputer sciencebusiness.industryModel selectionBayesian probabilitycomputer.software_genreMachine learningComputer Science ApplicationsData-drivenDetermining the number of clusters in a data setIdentification (information)Bayesian information criterionData miningArtificial intelligenceAkaike information criterionCluster analysisbusinesscomputer
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Relative sea-level rise and potential submersion risk for 2100 on 16 coastal plains of the mediterranean sea

2020

The coasts of the Mediterranean Sea are dynamic habitats in which human activities have been conducted for centuries and which feature micro-tidal environments with about 0.40 m of range. For this reason, human settlements are still concentrated along a narrow coastline strip, where any change in the sea level and coastal dynamics may impact anthropic activities. In the frame of the RITMARE and the Copernicus Projects, we analyzed light detection and ranging (LiDAR) and Copernicus Earth Observation data to provide estimates of potential marine submersion for 2100 for 16 small-sized coastal plains located in the Italian peninsula and four Mediterranean countries (France, Spain, Tunisia, Cypr…

Coastal plainMediterranean climateMediterranean Sea coastal plains relative sea-level rise 2100 marine submersionlcsh:Hydraulic engineering010504 meteorology & atmospheric sciencesCoastal plainRelative sea-level riseGeography Planning and DevelopmentSubmersion (coastal management)Aquatic Science010502 geochemistry & geophysics01 natural sciencesBiochemistryMediterranean sealcsh:Water supply for domestic and industrial purposesPeninsulalcsh:TC1-978Human settlementSea level0105 earth and related environmental sciencesWater Science and Technologygeographylcsh:TD201-5002100geography.geographical_feature_categoryCoastal plainsMarine submersion2100; Coastal plains; Marine submersion; Mediterranean sea; Relative sea-level riseTectonicsMediterranean seaPhysical geographyMediterranean Sea; coastal plains; relative sea-level rise; 2100; marine submersion
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Fuzziness, Cognition and Cybernetics: an outlook on future

2015

In the present paper, we connect some old reflections about the relationships existing between the theory of fuzzy sets and cybernetics with modern, contemporary analyses of the crucial (better: unavoidable) role that fuzziness plays in the attempts at scientifically describing aspects of information sciences. The connection, which has a basic conceptual origin, has been triggered also by the recent 50th anniversary of Norbert Wiener’ death which has been instrumental in looking again at some crucial aspects of the birth of information sciences in the midst of last Century. Fuzzy sets are an essential part of this revolution and share all the innovations as well as the difficulties of this …

Cognitive scienceSettore INF/01 - InformaticaFuzzy setCyberneticsCognitionSettore M-FIL/02 - Logica E Filosofia Della Scienzacybernetics fuzzy set fuzzinessMathematicsProceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
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THE ZONE MODULUS OF A LINK

2005

In this paper, we construct a conformally invariant functional for two-component links called the zone modulus of the link. Its main property is to give a sufficient condition for a link to be split. The zone modulus is a positive number, and its lower bound is 1. To construct a link with modulus arbitrarily close to 1, it is sufficient to consider two small disjoint spheres each one far from the other and then to construct a link by taking a circle enclosed in each sphere. Such a link is a split link. The situation is different when the link is non-split: we will prove that the modulus of a non-split link is greater than [Formula: see text]. This value of the modulus is realized by a spec…

CombinatoricsAlgebra and Number TheoryCorollaryHopf linkSplit linkMathematical analysisModulusMöbius energyDisjoint setsInvariant (mathematics)Upper and lower boundsMathematicsJournal of Knot Theory and Its Ramifications
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A complete characterization of all weakly additive measures and of all valuations on the canonical extension of any finite MV-chain

2010

We consider extensions of the unique additive measure on a finite MV-chain to uncertainty measures on its canonical Girard algebra extension. If the underlying MV-chain has more than two non-trivial elements, in a previous paper we have proved the non-existence of strongly additive measure extensions, where strong additivity is defined as additivity not for all disjoint unions but only restricted to the so-called divisible disjoint unions. This negative result motivates to look for weakly additive measure extensions which are defined to be additive only on all MV-subalgebras of the canonical Girard algebra extension. We obtain a characterization of all such MV-subalgebras which are in fact …

CombinatoricsArtificial IntelligenceLogicWeakly additiveAdditive functionState (functional analysis)MV-algebraDisjoint setsExtension (predicate logic)Characterization (mathematics)Measure (mathematics)MathematicsFuzzy Sets and Systems
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An optimal bound for embedding linear spaces into projective planes

1988

Abstract Linear spaces with υ >n 2 − 1 2 n + 1 points, b⩽n2 + n + 1 lines and not constant point degree are classified. It turns out that there is essentially one class of such linear spaces which are not near pencils and which can not be embedded into any projective plane of order n.

CombinatoricsBlocking setDuality (projective geometry)Discrete Mathematics and CombinatoricsProjective spaceEmbeddingProjective planeFano planeTheoretical Computer ScienceMathematicsDiscrete Mathematics
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A space on which diameter-type packing measure is not Borel regular

1999

We construct a separable metric space on which 1-dimensional diameter-type packing measure is not Borel regular.

CombinatoricsBorel equivalence relationRiesz–Markov–Kakutani representation theoremApplied MathematicsGeneral MathematicsRadon measureStandard probability spaceBaire measureBorel setBorel measureMeasure (mathematics)MathematicsProceedings of the American Mathematical Society
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Nonlocal Cheeger and Calibrable Sets

2019

Given a non-null, measurable and bounded set \(\Omega \subset \mathbb {R}^N\), we define its J-Cheeger constant

CombinatoricsBounded setConstant (mathematics)OmegaMathematics
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Partial spreads in finite projective spaces and partial designs

1975

A partial t-spread of a projective space P is a collection 5 p of t-dimensional subspaces of P of the same order with the property that any point of P is contained in at most one element of 50. A partial t-spread 5 p of P is said to be a t-spread if each point of P is contained in an element of 5P; a partial t-spread which is not a spread will be called strictly partial. Partial t-spreads are frequently used for constructions of affine planes, nets, and Sperner spaces (see for instance Bruck and Bose [5], Barlotti and Cofman [2]). The extension of nets to affine planes is related to the following problem: When can a partial t-spread 5 ~ of a projective space P be embedded into a larger part…

CombinatoricsCollineationBlocking setGeneral MathematicsComplex projective spaceProjective spaceProjective planeProjective linear groupQuaternionic projective spaceTwisted cubicMathematicsMathematische Zeitschrift
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