Search results for "Theoretical Computer Science"

showing 10 items of 1151 documents

Comparison of Internal Clustering Validation Indices for Prototype-Based Clustering

2017

Clustering is an unsupervised machine learning and pattern recognition method. In general, in addition to revealing hidden groups of similar observations and clusters, their number needs to be determined. Internal clustering validation indices estimate this number without any external information. The purpose of this article is to evaluate, empirically, characteristics of a representative set of internal clustering validation indices with many datasets. The prototype-based clustering framework includes multiple, classical and robust, statistical estimates of cluster location so that the overall setting of the paper is novel. General observations on the quality of validation indices and on t…

Fuzzy clusteringlcsh:T55.4-60.8Computer scienceSingle-linkage clusteringCorrelation clustering02 engineering and technologycomputer.software_genrelcsh:QA75.5-76.95Theoretical Computer Scienceprototype-based clusteringCURE data clustering algorithm020204 information systemsprototype-based clustering; clustering validation index; robust statisticsConsensus clusteringalgoritmit0202 electrical engineering electronic engineering information engineeringlcsh:Industrial engineering. Management engineeringCluster analysisk-medians clusteringta113Numerical Analysisbusiness.industryPattern recognitionDetermining the number of clusters in a data setComputational MathematicsComputingMethodologies_PATTERNRECOGNITIONComputational Theory and Mathematicsrobust statistics020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceArtificial intelligenceData miningtiedonlouhintabusinessclustering validation indexcomputerAlgorithms
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A heuristic fuzzy algorithm for assessing and managing tourism sustainability

2019

“Smartness” and “sustainability” are gaining growing attention from both practitioners and policy makers. “Smartness” and “sustainability” assessments are of crucial importance for directing, in a systemic perspective, the decision-making process toward sustainability and smart growth objectives. Sustainability assessment is a major challenge due to the multidisciplinary aspects involved that make the evaluation process complex and hinder the effectiveness of available monitoring tools. To achieve the assessment objective, we introduce an enhanced fuzzy logic-based framework for handling the inherent uncertainty and vagueness of the involved variables: we apply our approach to Italy, and we…

Fuzzy sets0209 industrial biotechnologyProcess (engineering)Computer science02 engineering and technologyEvolutionary algorithmsFuzzy logicTheoretical Computer Science020901 industrial engineering & automationQuality of lifeMultidisciplinary approachEvolutionary algorithm0202 electrical engineering electronic engineering information engineeringSustainable tourismTourism sustainabilitySettore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e FinanziarieEvolutionary algorithms; Fuzzy sets; Multi-objective optimization; Sustainability; Threshold accepting;Smart growthThreshold acceptingMulti-objective optimizationSustainabilityRisk analysis (engineering)SustainabilityFuzzy set020201 artificial intelligence & image processingGeometry and TopologySettore MAT/09 - Ricerca OperativaScience technology and societySoftwareTourismSoft Computing
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Polyomino coloring and complex numbers

2008

AbstractUsually polyominoes are represented as subsets of the lattice Z2. In this paper we study a representation of polyominoes by Gaussian integers. Polyomino {(x1,y1),(x2,y2),…,(xs,ys)}⊂Z2 is represented by the set {(x1+iy1),(x2+iy2),…,(xs+iys)}⊂Z[i]. Then we consider functions of type f:P→G from the set P of all polyominoes to an abelian group G, given by f(x,y)≡(x+iy)m(modv), where v is prime in Z[i],1≤m<N(v) (N(v) is the norm of v). Using the arithmetic of the ring Z[i] we find necessary and sufficient conditions for such a function to be a coloring map.

Gaussian integersDiscrete mathematicsGeneral Computer SciencePolyominoGaussian integerPolyomino tilingLattice (group)Tileability criteriaType (model theory)Prime (order theory)Theoretical Computer ScienceCombinatoricssymbols.namesakeIntegersymbolsColoringFunction compositionAbelian groupComputer Science(all)MathematicsTheoretical Computer Science
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On the relative sizes of learnable sets

1998

Abstract Measure and category (or rather, their recursion-theoretical counterparts) have been used in theoretical computer science to make precise the intuitive notion “for most of the recursive sets”. We use the notions of effective measure and category to discuss the relative sizes of inferrible sets, and their complements. We find that inferable sets become large rather quickly in the standard hierarchies of learnability. On the other hand, the complements of the learnable sets are all large.

General Computer Science0102 computer and information sciencesMachine learningcomputer.software_genre01 natural sciencesMeasure (mathematics)Theoretical Computer ScienceTuring machinesymbols.namesake0101 mathematicsMathematicsBinary treeLearnabilitybusiness.industry010102 general mathematicsInductive inferenceCategoryInductive reasoningMeasureAbstract machine010201 computation theory & mathematicssymbolsArtificial intelligencebusinesscomputerComputer Science(all)Theoretical Computer Science
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Exploring the SARS-CoV-2 Proteome in the Search of Potential Inhibitors via Structure-based Pharmacophore Modeling/Docking Approach

2020

To date, SARS-CoV-2 infectious disease, named COVID-19 by the World Health Organization (WHO) in February 2020, has caused millions of infections and hundreds of thousands of deaths. Despite the scientific community efforts, there are currently no approved therapies for treating this coronavirus infection. The process of new drug development is expensive and time-consuming, so that drug repurposing may be the ideal solution to fight the pandemic. In this paper, we selected the proteins encoded by SARS-CoV-2 and using homology modeling we identified the high-quality model of proteins. A structure-based pharmacophore modeling study was performed to identify the pharmacophore features for each…

General Computer ScienceComputer scienceComputational biologylcsh:QA75.5-76.95Theoretical Computer Science03 medical and health sciences0302 clinical medicineHomology modelingMM-GBSA030304 developmental biology0303 health sciencesVirtual screeningpharmacophoreSARS-CoV-2Applied MathematicsCOVID-19computational chemistryCOVID-19 SARS-CoV-2 computational chemistry structure-based pharmacophore docking MM-GBSADrug repositioningstructure-basedDrug developmentInfectious disease (medical specialty)Docking (molecular)030220 oncology & carcinogenesisModeling and Simulationdockinglcsh:Electronic computers. Computer sciencePharmacophoreDrugBankComputation
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On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata

2018

Unlike the computational mechanisms of the past many decades, that involved individual (extremely powerful) computers or clusters of machines, cloud computing (CC) is becoming increasingly pertinent and popular. Computing resources such as CPU and storage are becoming cheaper, and the servers themselves are becoming more powerful. This enables clouds to host more virtual machines (VMs). A natural consequence ofthis is that many modern-day data centers experience very high internaltraffic within the data centers themselves. This is, of course, due to the occurrence of servers that belong to the same tenant, communicating between themselves. The problem is accentuated when the VM deployment t…

General Computer ScienceComputer scienceDistributed computingCloud computing02 engineering and technologyNetwork topologycomputer.software_genreTheoretical Computer ScienceLearning automataServer0202 electrical engineering electronic engineering information engineeringCloud computingCluster analysisLearning automatabusiness.industryGraph partitioningGraph partition020206 networking & telecommunicationsVirtual machineModeling and Simulation020201 artificial intelligence & image processingData centerVirtual machinesbusinesscomputerComputer network
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Parameter identification for heterogeneous materials by optimal control approach with flux cost functionals

2021

The paper deals with the identification of material parameters characterizing components in heterogeneous geocomposites provided that the interfaces separating different materials are known. We use the optimal control approach with flux type cost functionals. Since solutions to the respective state problems are not regular, in general, the original cost functionals are expressed in terms of integrals over the computational domain using the Green formula. We prove the existence of solutions to the optimal control problem and establish convergence results for appropriately defined discretizations. The rest of the paper is devoted to computational aspects, in particular how to handle high sens…

General Computer ScienceComputer scienceFlux010103 numerical & computational mathematicsType (model theory)01 natural sciencesTheoretical Computer ScienceDomain (software engineering)sensitivity analysisConvergence (routing)Applied mathematicsSensitivity (control systems)0101 mathematicskomposiititosittaisdifferentiaaliyhtälötNumerical AnalysisApplied Mathematicsidentification of conductivity coefficientsState (functional analysis)matemaattinen optimointiOptimal control010101 applied mathematicsIdentification (information)säätöteoriaModeling and Simulationnumeerinen analyysioptimal control of PDEs
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A prospect for computing in porous materials research: Very large fluid flow simulations

2016

Abstract Properties of porous materials, abundant both in nature and industry, have broad influences on societies via, e.g. oil recovery, erosion, and propagation of pollutants. The internal structure of many porous materials involves multiple scales which hinders research on the relation between structure and transport properties: typically laboratory experiments cannot distinguish contributions from individual scales while computer simulations cannot capture multiple scales due to limited capabilities. Thus the question arises how large domain sizes can in fact be simulated with modern computers. This question is here addressed using a realistic test case; it is demonstrated that current …

General Computer ScienceComputer scienceLattice Boltzmann method0208 environmental biotechnologyGPULattice Boltzmann methods02 engineering and technologyParallel computing01 natural sciencesPermeability010305 fluids & plasmasTheoretical Computer ScienceComputational sciencePorous materialPetascale computing0103 physical sciencesFluid dynamicsFluid flow simulationPorosityta113ta114Supercomputer020801 environmental engineeringAddressing modePermeability (earth sciences)Petascale computingModeling and SimulationPorous mediumJournal of Computational Science
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Omission of Quality Software Development Practices : A Systematic Literature Review

2018

Software deficiencies are minimized by utilizing recommended software development and quality assurance practices. However, these recommended practices (i.e., quality practices) become ineffective if software professionals purposefully ignore them. Conducting a systematic literature review (n = 4,838), we discovered that only a small number of previous studies, within software engineering and information systems literature, have investigated the omission of quality practices. These studies explain the omission of quality practices mainly as a result of organizational decisions and trade-offs made under resource constraints or market pressure. However, our study indicates that different aspe…

General Computer ScienceComputer scienceProcess (engineering)korjausvelkamedia_common.quotation_subjectsoftware managementohjelmistotuotantoammattietiikka02 engineering and technologyTheoretical Computer Science020204 information systemsPhenomenon0202 electrical engineering electronic engineering information engineeringInformation systemQuality (business)informational systems developmentmedia_commontietojärjestelmätbusiness.industrySoftware development020207 software engineeringlaatulaadunvarmistusystematic literature reviewsohjelmistosuunnitteluSystematic reviewRisk analysis (engineering)technical debtTechnical debtbehavioral software engineeringbusinessohjelmistokehitysQuality assurance
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High-speed exhaustive 3-locus interaction epistasis analysis on FPGAs

2015

Abstract Epistasis, the interaction between genes, has become a major topic in molecular and quantitative genetics. It is believed that these interactions play a significant role in genetic variations causing complex diseases. Several algorithms have been employed to detect pairwise interactions in genome-wide association studies (GWAS) but revealing higher order interactions remains a computationally challenging task. State of the art tools are not able to perform exhaustive search for all three-locus interactions in reasonable time even for relatively small input datasets. In this paper we present how a hardware-assisted design can solve this problem and provide fast, efficient and exhaus…

General Computer ScienceComputer sciencebusiness.industryEpistasis and functional genomicsBrute-force searchGenome-wide association studyMutual informationQuantitative geneticsMachine learningcomputer.software_genreSupercomputerTheoretical Computer ScienceModeling and SimulationEpistasisPairwise comparisonArtificial intelligencebusinesscomputerJournal of Computational Science
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