Search results for "ML"

showing 10 items of 1465 documents

A kernel support vector machine based technique for Crohn’s disease classification in human patients

2017

In this paper a new technique for classification of patients affected by Crohn’s disease (CD) is proposed. The proposed technique is based on a Kernel Support Vector Machine (KSVM) and it adopts a Stratified K-Fold Cross-Validation strategy to enhance the KSVM classifier reliability. Traditional manual classification methods require radiological expertise and they usually are very time-consuming. Accordingly to three expert radiologists, a dataset composed of 300 patients has been selected for KSVM training and validation. Each patient was codified by 22 extracted qualitative features and classified as Positive or Negative as the related histological specimen result showed the CD. The eff…

Computer sciencebusiness.industryKernel support vector machineHuman patientK-fold cross-validation020206 networking & telecommunicationsPattern recognition02 engineering and technologyPredictive value030218 nuclear medicine & medical imagingSupport vector machine03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringClassification methodsCrohn disease classificationArtificial intelligencebusinessClassifier (UML)
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A comparative study of best spectral bands selection systems for face recognition

2014

Multispectral images (MI) have shown promising capabilities to solve problems resulting from high illumination variation in face recognition. However, the use of MI, with the huge number of captured spectral bands for each subject, is impractical unless a system for best spectral bands selection (BSBS) is used. In this work, first we give an up to date overview of the existing BSBS techniques proposed for face recognition. We aim to highlight the imporatnce of this component of MI based systems. The reviewed techniques are then experimented using the multispectral face database IRIS - M3 to compare their performances. To the best of our knowledge this is the first study that reviews and com…

Computer sciencebusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingPattern recognitionSpectral bandsFacial recognition systemFace (geometry)Component (UML)Algorithm designArtificial intelligencebusinessSelection (genetic algorithm)2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)
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Intelligent system for material quality control using impact-echo testing

2008

This paper introduces an intelligent system to discern the quality of materials inspected by the impact-echo technique. The system includes a hardware setup to inspect parallelepiped-shape materials and a procedure to classify the material depending on its quality condition. Four levels of classification with different grades of knowledge about the material defects are approached: material condition, kind of defect, defect orientation, and defect dimension. The number of classes (material qualities) in the lowest classification level is 12. The procedure is applied on signals coming from 3D finite element simulations and lab experiments with aluminium specimens. The classification procedure…

Computer sciencebusiness.industryOrientation (computer vision)Pattern recognitionMachine learningcomputer.software_genreFinite element methodKnowledge-based systemsComputingMethodologies_PATTERNRECOGNITIONDimension (vector space)Component (UML)Artificial intelligencebusinesscomputer2008 7th IEEE International Conference on Cybernetic Intelligent Systems
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<title>Dynamic integration of multiple data mining techniques in a knowledge discovery management system</title>

1999

One of the most important directions in improvement of data mining and knowledge discovery, is the integration of multiple classification techniques of an ensemble of classifiers. An integration technique should be able to estimate and select the most appropriate component classifiers from the ensemble. We present two variations of an advanced dynamic integration technique with two distance metrics. The technique is one variation of the stacked generalization method, with an assumption that each of the component classifiers is the best one, inside a certain sub area of the entire domain area. Our technique includes two phases: the learning phase and the application phase. During the learnin…

Computer sciencebusiness.industryWeighted votingcomputer.software_genreMachine learningExpert systemMultiple dataMatrix (mathematics)Information extractionComputingMethodologies_PATTERNRECOGNITIONKnowledge extractionManagement systemData miningArtificial intelligencebusinesscomputerClassifier (UML)Data Mining and Knowledge Discovery: Theory, Tools, and Technology
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Interoperability of B2B Applications

2011

This paper presents a Web-based data integration methodology and tool framework, called X-TIME, for the development of Business-to-Business (B2B) design environments and applications. X-TIME provides a data model translator toolkit based on an extensible meta model and XML. It allows the creation of adaptable semantic-oriented meta models to support the design of wrappers or reconciliators (mediators), taking into account characteristics of interoperable information systems, such as extensibility and composability. X-TIME defines a set of meta types which correspond to g meta level semantic descriptors of data models found in the Web. The meta types are organized in a generalization hierarc…

Computer sciencebusiness.industrycomputer.internet_protocol05 social sciencesInteroperabilityBusiness-to-business050905 science studies0502 economics and businessSystem integration0509 other social sciencesbusinessSoftware engineeringcomputer050203 business & managementXML
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Managing IFC for civil engineering projects

2003

The "Industrial Foundation Classes" (IFC) are an ISO norm to define all components of a building in a civil engineering project. IFC files are textual files whose size can reach 100 megabytes. Several IFC files can coexist on the same civil engineering project. Due to their size, their handling and sharing is a complex task. In this paper, we present an approach to automatically identify business objects in the IFC files and simplify their visualization and manipulation on the Internet. We construct an IFC Viewer which transforms the IFC file into a XML IFC tree manipulated through the 3D visualization of the building. The IFC Viewer composed a web-based platform called ACTIVe3D BUILD SERVE…

Computer sciencebusiness.industrycomputer.internet_protocolBusiness objectcomputer.software_genreCivil engineeringVisualizationMegabyteWorld Wide WebVirtual machineThe InternetbusinesscomputerXMLProceedings of the twelfth international conference on Information and knowledge management
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Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML)

2017

International audience; This paper describes Gaussian process regression (GPR) models presented in predictive model markup language (PMML). PMML is an extensible-markup-language (XML) -based standard language used to represent data-mining and predictive analytic models, as well as pre- and post-processed data. The previous PMML version, PMML 4.2, did not provide capabilities for representing probabilistic (stochastic) machine-learning algorithms that are widely used for constructing predictive models taking the associated uncertainties into consideration. The newly released PMML version 4.3, which includes the GPR model, provides new features: confidence bounds and distribution for the pred…

Computer sciencecomputer.internet_protocol02 engineering and technologycomputer.software_genreIndustrial and Manufacturing EngineeringArticleSet (abstract data type)[SPI]Engineering Sciences [physics]Kriging020204 information systems0202 electrical engineering electronic engineering information engineeringUncertainty quantificationRepresentation (mathematics)predictive model markup language (PMML)Probabilistic logicdata miningPredictive analyticsXMLComputer Science Applicationspredictive analyticsControl and Systems EngineeringPredictive Model Markup Languagestandards020201 artificial intelligence & image processingData miningcomputerXMLGaussian process regression
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The problem of interoperability: A common data format for quantum chemistry codes

2007

A common format for quantum chemistry (QC), enhancing code interoperability and communication between different programs, has been designed and implemented. An XML-based format, QC-ML, is presented for representing quantities such as geometry, basis set, and so on, while an HDF5-based format is presented for the storage of large binary data files. Some preliminary applications that use the format have been implemented and are also described. This activity was carried out within the COST in Chemistry D23 project “MetaChem,” in the Working Group “A meta-laboratory for code integration in ab initio methods.” © 2007 Wiley Periodicals, Inc. Int J Quantum Chem, 2007

Computer sciencecomputer.internet_protocolInteroperabilityEfficient XML InterchangeHierarchical Data Format010402 general chemistrycomputer.software_genre01 natural sciencesinterfaces0103 physical sciencesCode interoperabilityCode (cryptography)Physical and Theoretical ChemistryCommon Data FormatComputingMilieux_MISCELLANEOUS010304 chemical physicsProgramming languagecomputer.file_formatCondensed Matter Physicscomputational chemistryAtomic and Molecular Physics and Optics0104 chemical sciencesXML frameworkBinary dataCode interoperability; interfaces; computational chemistry; fortrancomputerXMLfortran
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CoCoDat: a database system for organizing and selecting quantitative data on single neurons and neuronal microcircuitry.

2004

We present a novel database system for organizing and selecting quantitative experimental data on single neurons and neuronal microcircuitry that has proven useful for reference-keeping, experimental planning and computational modelling. Building on our previous experience with large neuroscientific databases, the system takes into account the diversity and method-dependence of single cell and microcircuitry data and provides tools for entering and retrieving published data without a priori interpretation or summarizing. Data representation is based on the framework suggested by biophysical theory and enables flexible combinations of data on membrane conductances, ionic and synaptic current…

Computer sciencecomputer.internet_protocolRelational databaseModels NeurologicalAction PotentialsInformation Storage and Retrievalcomputer.software_genreMachine learningExternal Data RepresentationData retrievalAnimalsComputer SimulationLayer (object-oriented design)NeuronsDatabasebusiness.industryGeneral NeuroscienceExperimental dataRatsData sharingScalabilityDatabase Management SystemsArtificial intelligenceNeural Networks ComputerNerve NetbusinesscomputerXMLJournal of neuroscience methods
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Analysis and Visualization of Product Memory Layout in IP-XACT

2017

Modern ASIC and FPGA based embedded products use model based design, in which both hardware and software are developed in parallel. Previously HW was completed first and the information handed over to SW team, typically in the form of register tables. The information was even manually copied to SW code, making any changes error-prone and laborious. IP-XACT is the most feasible standard to model HW also for the SW needs. The HW design connectivity and overall memory layout may change due to component instantiations, configurations and conditional operation states, which makes it difficult to create register tables even for documentation. Current register design tools fall short in serving th…

Computer sciencecomputer.internet_protocolbusiness.industryProgramming languagecomputer.software_genreMemory mapVisualizationApplication-specific integrated circuitIP-XACTEmbedded systemModel-based designbusinessProgrammerInteractive visualizationcomputerXML2017 Euromicro Conference on Digital System Design (DSD)
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