Search results for "Soar"

showing 5 items of 5 documents

Evaluation of Ensemble Machine Learning Methods in Mobile Threat Detection

2017

The rapid growing trend of mobile devices continues to soar causing massive increase in cyber security threats. Most pervasive threats include ransom-ware, banking malware, premium SMS fraud. The solitary hackers use tailored techniques to avoid detection by the traditional antivirus. The emerging need is to detect these threats by any flow-based network solution. Therefore, we propose and evaluate a network based model which uses ensemble Machine Learning (ML) methods in order to identify the mobile threats, by analyzing the network flows of the malware communication. The ensemble ML methods not only protect over-fitting of the model but also cope with the issues related to the changing be…

Computer scienceintrusion detection0211 other engineering and technologiesDecision tree02 engineering and technologycomputer.software_genreComputer securitymobiililaitteet0202 electrical engineering electronic engineering information engineeringsupervised machine learningSoarAndroid (operating system)tietoturvata113021110 strategic defence & security studiesta213business.industrymobile threatsensemble methods020206 networking & telecommunicationsFlow networkEnsemble learninganomaly detectionmachine learningkoneoppiminenMalwareThe InternetbusinesscomputerMobile device
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Enterprise JavaBeans -komponenttimalli ja sen vaikutus ohjelmistonkehitykseen

2001

Enterprise JavaBeansohjelmistotkomponentitJava 2 Enterprise EditionmonitasoarkkitehtuuriJava
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EJB:n eri käyttötapojen tehokkuus tiedonsiirrossa tietokantaan käyttäen OC4J palvelinta

2002

Enterprise JavaBeanssuorituskykykomponenttimalliOracle-tietokantaJava 2 Enterprise EditionmonitasoarkkitehtuuritestausohjelmointikieletJava
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Conceptual Spaces for Cognitive Architectures: A lingua franca for different levels of representation

2017

During the last decades, many cognitive architectures (CAs) have been realized adopting different assumptions about the organization and the representation of their knowledge level. Some of them (e.g. SOAR [Laird (2012)]) adopt a classical symbolic approach, some (e.g. LEABRA [O'Reilly and Munakata (2000)]) are based on a purely connectionist model, while others (e.g. CLARION [Sun (2006)] adopt a hybrid approach combining connectionist and symbolic representational levels. Additionally, some attempts (e.g. biSOAR) trying to extend the representational capacities of CAs by integrating diagrammatical representations and reasoning are also available [Kurup and Chandrasekaran (2007)]. In this p…

FOS: Computer and information sciencesConceptual SpaceCognitive Architectures; Cognitive modeling; Conceptual Spaces; Knowledge representation; Experimental and Cognitive Psychology; Cognitive Neuroscience; Artificial IntelligenceComputer Science - Artificial IntelligenceComputer scienceCognitive NeuroscienceExperimental and Cognitive Psychology02 engineering and technology050105 experimental psychologyCognitive modelingCognitive ArchitecturesConnectionismArtificial IntelligenceConceptual Spaces0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesSoarCognitive ArchitectureRepresentation (mathematics)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCognitive scienceKnowledge level05 social sciencesCommon groundCognitionCLARIONDiagrammatic reasoningArtificial Intelligence (cs.AI)Knowledge representation020201 artificial intelligence & image processingThe SymbolicBiologically Inspired Cognitive Architectures
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High-temperature metamorphism and crustal melting at ca. 3.2 Ga in the eastern Kaapvaal craton, southern Africa

2018

Abstract The question of whether high-grade metamorphism and crustal melting in the early Archaean were associated with modern-style plate tectonics is a major issue in unravelling early Earth crustal evolution, and the eastern Kaapvaal craton has featured prominently in this debate. We discuss a major ca. 3.2 Ga tectono-magmatic-metamorphic event in the Ancient Gneiss Complex (AGC) of Swaziland, a multiply deformed medium- to high-grade terrane in the eastern Kaapvaal craton consisting of 3.66–3.20 Ga granitoid gneisses and infolded greenstone remnants, metasedimentary assemblages and mafic dykes. We report on a 3.2 Ga granulite-facies assemblage in a metagabbro of the AGC of central Swazi…

geographyUnderplatinggeography.geographical_feature_categoryP-T reconstruction010504 meteorology & atmospheric sciencesArcheanGeochemistryMetamorphismGeologyCrustKaapvaal craton010502 geochemistry & geophysicsGrey gneiss01 natural sciencesMesoarchaeanCratonZircon ageHf-Nd isotopesGeochemistry and PetrologySwazilandMaficMetamorphic faciesGeology0105 earth and related environmental sciencesTerranePrecambrian Research
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