Search results for " set"

showing 10 items of 2095 documents

Wi-Sense: a passive human activity recognition system using Wi-Fi and convolutional neural network and its integration in health information systems

2021

AbstractA human activity recognition (HAR) system acts as the backbone of many human-centric applications, such as active assisted living and in-home monitoring for elderly and physically impaired people. Although existing Wi-Fi-based human activity recognition methods report good results, their performance is affected by the changes in the ambient environment. In this work, we present Wi-Sense—a human activity recognition system that uses a convolutional neural network (CNN) to recognize human activities based on the environment-independent fingerprints extracted from the Wi-Fi channel state information (CSI). First, Wi-Sense captures the CSI by using a standard Wi-Fi network interface car…

Computer sciencebusiness.industry010401 analytical chemistry020206 networking & telecommunicationsPattern recognition02 engineering and technology01 natural sciencesConvolutional neural network0104 chemical sciencesActivity recognitionData setNetwork interface controllerChannel state informationVDP::Teknologi: 500::Medisinsk teknologi: 620Principal component analysis0202 electrical engineering electronic engineering information engineeringSpectrogramNoise (video)Artificial intelligenceElectrical and Electronic Engineeringbusiness
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Sub-symbolic Encoding of Words

2003

A new methodology for sub-symbolic semantic encoding of words is presented. The methodology uses the WordNet lexical database and an ad hoc modified Sammon algorithm to associate a vector to each word in a semantic n-space. All words have been grouped according to the WordNet lexicographers’ files classification criteria: these groups have been called lexical sets. The word vector is composed by two parts: the first one, takes into account the belonging of the word to one of these lexical sets; the second one is related to the meaning of the word and it is responsible for distinguishing the word among the other ones of the same lexical set. The application of the proposed technique over all…

Computer sciencebusiness.industryLatent semantic analysisWordNetLexical databaseSemanticscomputer.software_genreLexical setLexical itemLexicographySyntactic categoryArtificial intelligencebusinesscomputerNatural languageWord (computer architecture)Natural language processing
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Clustering categorical data: A stability analysis framework

2011

Clustering to identify inherent structure is an important first step in data exploration. The k-means algorithm is a popular choice, but K-means is not generally appropriate for categorical data. A specific extension of k-means for categorical data is the k-modes algorithm. Both of these partition clustering methods are sensitive to the initialization of prototypes, which creates the difficulty of selecting the best solution for a given problem. In addition, selecting the number of clusters can be an issue. Further, the k-modes method is especially prone to instability when presented with ‘noisy’ data, since the calculation of the mode lacks the smoothing effect inherent in the calculation …

Computer sciencebusiness.industrySingle-linkage clusteringCorrelation clusteringConstrained clusteringcomputer.software_genreMachine learningDetermining the number of clusters in a data setData stream clusteringCURE data clustering algorithmConsensus clusteringData miningArtificial intelligenceCluster analysisbusinesscomputer2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)
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Dimension Estimation in Two-Dimensional PCA

2021

We propose an automated way of determining the optimal number of low-rank components in dimension reduction of image data. The method is based on the combination of two-dimensional principal component analysis and an augmentation estimator proposed recently in the literature. Intuitively, the main idea is to combine a scree plot with information extracted from the eigenvectors of a variation matrix. Simulation studies show that the method provides accurate estimates and a demonstration with a finger data set showcases its performance in practice. peerReviewed

Computer sciencebusiness.industrydimension reductionDimensionality reductionimage dataEstimatorPattern recognitiondimension estimation16. Peace & justiceImage (mathematics)Data modelingData setMatrix (mathematics)scree plotPrincipal component analysisaugmentationArtificial intelligencebusinessEigenvalues and eigenvectors
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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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Application of model quality evaluation to systems biology

2008

Application of model quality evaluation to the quasispecies models is presented. These models are useful for the analysis of the DNA and RNA evolution and for the description of the population dynamics of viruses and bacteria. An estimate of the parameters together with their interval of variability is computed and the quality evaluation is tested on the basis of the model prediction error capability.

Computer sciencemedia_common.quotation_subjectSystems biologyset membershipPopulationViral quasispeciesInterval (mathematics)Computational biologycomputer.software_genreSettore ING-INF/04 - AutomaticaModels of DNA evolutionmolecular biophysicsQuality (business)educationgenetics microorganismsmedia_commoneducation.field_of_studyDNA; biochemistry evolution (biological); genetics microorganisms; molecular biophysics; reaction kinetics; identification; set membership; optimizationBasis (linear algebra)Estimation theoryDNADNA biochemistry evolution (biological) genetics microorganisms molecular biophysics reaction kinetics identification set membership optimizationbiochemistry evolution (biological)identificationreaction kineticsData miningcomputeroptimization
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The Ground State Electronic Energy of Benzene.

2020

We report on the findings of a blind challenge devoted to determining the frozen-core, full configuration interaction (FCI) ground state energy of the benzene molecule in a standard correlation-consistent basis set of double-$\zeta$ quality. As a broad international endeavour, our suite of wave function-based correlation methods collectively represents a diverse view of the high-accuracy repertoire offered by modern electronic structure theory. In our assessment, the evaluated high-level methods are all found to qualitatively agree on a final correlation energy, with most methods yielding an estimate of the FCI value around $-863$ m$E_{\text{H}}$. However, we find the root-mean-square devia…

Computer sciencephysics.chem-phFOS: Physical sciencesElectronic structure01 natural sciencesFull configuration interactionQuality (physics)5102 Atomic Molecular and Optical PhysicsAffordable and Clean EnergyPhysics - Chemical Physics0103 physical sciencesGeneral Materials ScienceStatistical physicsPhysical and Theoretical Chemistry010306 general physicsBasis setChemical Physics (physics.chem-ph)34 Chemical Sciences010304 chemical physics3. Good healthPhysical SciencesChemical Sciences3406 Physical ChemistryBenchmark (computing)7 Affordable and Clean EnergyElectronic energyGround state51 Physical SciencesEnergy (signal processing)
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Improving the k-NCN classification rule through heuristic modifications

1998

Abstract This paper presents an empirical investigation of the recently proposed k-Nearest Centroid Neighbours ( k -NCN) classification rule along with two heuristic modifications of it. These alternatives make use of both proximity and geometrical distribution of the prototypes in the training set in order to estimate the class label of a given sample. The experimental results show that both alternatives give significantly better classification rates than the k -Nearest Neighbours rule, basically due to the properties of the plain k -NCN technique.

ComputingMethodologies_PATTERNRECOGNITIONTraining setArtificial Intelligencebusiness.industryClassification ruleSignal ProcessingCentroidPattern recognitionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareMathematicsPattern Recognition Letters
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Comunicación digital y líneas de fractura en el paradigma de la agenda setting

2006

En: Doxa Comunicación : revista interdisciplinar de estudios de comunicación y ciencias sociales. ISSN 1696-019X n. IV, 2006, pp 37-58 Propone realizar una prospectiva que arroje alguna luz sobre las modificaciones que puede sufrir la teoría de la Agenda Setting, e incluso, eventualmente, su superación, por efecto del desarrollo de los sistemas de comunicación digital. La hipótesis de la que partimos es la de que, si bien la multiplicación y diversificación de medios de comunicación provocada por las tecnologías digitales no tiene por qué haber supuesto, hasta el momento, una diversificación de similar calado en lo que concierne a los temas de interés informativo sancionados por los medios,…

Comunicación interpersonal.Interpersonal communication.CommunicationPolítica de la comunicacióComunicación digital.Agenda setting.Digital communication.Social Sciences (miscellaneous)Teoría de la agenda.
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Settimana delle Culture, la stratificazione palermitana in un segno

2017

La realizzaione di un logo per l'ormai nota associazione culturale concepita attraverso la ricerca nel territorio nell'ambito delle testimonianze storiche, storico artistiche, archeologiche e antropologiche

Comunicazione visiva Settimana delle culture Stratificazione culturaleSettore L-ART/03 - Storia Dell'Arte Contemporanea
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