Search results for "Information Retrieval"

showing 10 items of 924 documents

Blockchain Disrupting Fintech and the Banking System

2021

Nowadays society is profoundly changed by technology, velocity and productivity. While individuals are not yet prepared for holographic connection with banks or financial institutions, other innovative technologies have been adopted. Lately, a new world has been launched, personalized and adapted to reality. It has emerged and started to govern almost all daily activities due to the five key elements that are foundations of the technology: machine to machine (M2M), internet of things (IoT), big data, machine learning and artificial intelligence (AI). Competitive innovations are now on the market, helping with the connection between investors and borrowers—notably crowdfunding and peer-to-pe…

blockchainBlockchainbusiness.industryfintechBig datalcsh:APopularityMachine to machineCommerceKey (cryptography)Relevance (information retrieval)Businesslcsh:General Worksbanking systemInternet of ThingsProductivityElrondThe 7th International Management Information Systems Conference
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Lau Effect And Binary Logic

1989

The Lau effect is applied to implement the whole set of binary logic operations optically. Our technique works with spatially incoherent light and does not require lenses or any other optical accessory.

business.industryComputer Science::Information RetrievalComputer programmingPhysics::OpticsOptical computingMoiré patternSet (abstract data type)Superposition principleModulationBinary dataOptical filterbusinessAlgorithmMathematicsSPIE Proceedings
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Predictive and Contextual Feature Separation for Bayesian Metanetworks

2007

Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, depending on a context, many attributes of the model might not be relevant. If a Bayesian Network has been learned across multiple contexts then all uncovered conditional dependencies are averaged over all contexts and cannot guarantee high predictive accuracy when applied to a concrete case. We are considering a context as a set of contextual attributes, which are not directly effect probability distribution of the target attributes, but they effect on "relevance" of the predictive attributes towards target attribut…

business.industryComputer scienceBayesian probabilityProbabilistic logicBayesian networkContext (language use)computer.software_genreMachine learningFeature (machine learning)Probability distributionRelevance (information retrieval)Artificial intelligenceData miningbusinessSet (psychology)computer
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Extracting information from support vector machines for pattern-based classification

2014

Statistical machine learning algorithms building on patterns found by pattern mining algorithms have to cope with large solution sets and thus the high dimensionality of the feature space. Vice versa, pattern mining algorithms are frequently applied to irrelevant instances, thus causing noise in the output. Solution sets of pattern mining algorithms also typically grow with increasing input datasets. The paper proposes an approach to overcome these limitations. The approach extracts information from trained support vector machines, in particular their support vectors and their relevance according to their coefficients. It uses the support vectors along with their coefficients as input to pa…

business.industryComputer scienceFeature vectorSolution setPattern recognitioncomputer.software_genreGraphDomain (software engineering)Support vector machineRelevance (information retrieval)Fraction (mathematics)Noise (video)Artificial intelligenceData miningbusinesscomputerProceedings of the 29th Annual ACM Symposium on Applied Computing
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Symmetry operators in computer vision

1996

Abstract Symmetry plays a remarkable role in perception problems. For example, peaks of brain activity are measured in correspondence with visual patterns showing symmetry . Relevance of symmetry in vision was already noted by Koler in 1929. Here, properties of a symmetry operator are reported and a new algorithm to measure local symmetries is proposed. Its performance is tested on segmentation of complex visual patterns and the classification of sparse images.

business.industryComputer sciencemedia_common.quotation_subjectAstronomy and AstrophysicsMeasure (mathematics)Operator (computer programming)PerceptionHomogeneous spaceVisual patternsSegmentationComputer visionRelevance (information retrieval)Artificial intelligenceSymmetry (geometry)businessmedia_commonVistas in Astronomy
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Métricas epistemológicas para modelos basados en fractales lingüísticos de PLN

2016

This work is part of a wider research named BIOTECH that intends to assure the quality of linguistic modeling activity for automatic systems, making it possible to automate the management of words and natural language. Words are considered part of the complex articulation of language expressions. BIOTECH aims to take it as a tool to evaluate and track linguistic and verbal communication distorsion in patients with Autistic Spectrum Disorder. The main contribution of this paper is to discuss the validity of fractals when used to model linguistic reasoning, and the relevance of considering not only statistics but also epistemology-related metrics. Furthermore, a set of metrics is introduced a…

business.industryComputer sciencemedia_common.quotation_subjectPragmaticscomputer.software_genreRepresentativeness heuristicNonverbal communicationRelevance (information retrieval)Quality (business)In patientArtificial intelligencebusinessSet (psychology)computerNatural language processingNatural languagemedia_common2016 IEEE Biennial Congress of Argentina (ARGENCON)
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Approaching risk management from a new integrated perspective

2013

In recent years, risk management has acquired increasing relevance within the organizational realm. Although the Integrated Reporting Framework includes ‘risk’ as one of the content elements of the Integrated Report, its main purpose does not specifically relate to risk management. Drawing on the evolving academic debate, this chapter aims to provide an overview of the different approaches to risk management and to highlight the need for a broader and integrated perspective. The chapter ends by highlighting the potential contribution of this perspective to the Integrated Reporting Framework.

business.industryCorporate governancePerspective (graphical)RealmRisk societyRelevance (information retrieval)Engineering ethicsSociologyRisk integrated reportingIntegrated reportingbusinessRisk management
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Applying logistic regression to relevance feedback in image retrieval systems

2007

This paper deals with the problem of image retrieval from large image databases. A particularly interesting problem is the retrieval of all images which are similar to one in the user's mind, taking into account his/her feedback which is expressed as positive or negative preferences for the images that the system progressively shows during the search. Here we present a novel algorithm for the incorporation of user preferences in an image retrieval system based exclusively on the visual content of the image, which is stored as a vector of low-level features. The algorithm considers the probability of an image belonging to the set of those sought by the user, and models the logit of this prob…

business.industryIterative methodLinear modelRelevance feedbackPattern recognitioncomputer.software_genreImage (mathematics)Set (abstract data type)Artificial IntelligenceSignal ProcessingRelevance (information retrieval)Computer Vision and Pattern RecognitionArtificial intelligenceData miningbusinessCluster analysisImage retrievalcomputerSoftwareMathematicsPattern Recognition
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Employees' perceptions of high-performance work systems and innovative behaviour: The role of exploratory learning

2017

Abstract This paper analyses the influence of employees' perceptions of high-performance work systems (HPWSs) on employees' exploratory learning and innovative behaviour. Furthermore, the mediating role of exploratory learning in this relationship has also been studied. To achieve these objectives, a quantitative analysis was conducted with a sample of 304 researchers from the Spanish public sector. Results showed the relevance of employees' perceptions of HPWSs in promoting exploratory learning and employees' innovative behaviour. The mediating role of exploratory learning in the relationship was assessed. The paper mentions the importance of workers' perceptions on the implementation of H…

business.industryStrategy and Managementmedia_common.quotation_subject05 social sciencesPublic sectorApplied psychology050209 industrial relationsSample (statistics)Quantitative analysis (finance)Perception0502 economics and businessExploratory learningRelevance (information retrieval)businessWork systemsPsychology050203 business & managementmedia_commonEuropean Management Journal
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The Relevance of Genetic Factors in Tumor Therapy and the Underlying Pharmacogenetic Principles

2017

In the following chapter it is shown that only by the combination of pharmacological and genetic research programs new relevant findings of tumor formation and progression can be gained. This then lead to an improved and individualized therapy of the patients in the area of application.

business.industryeducationMedicineTumor therapyRelevance (information retrieval)businessBioinformaticsTumor formationPharmacogenetics
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