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e-Learning Models Commonalities and Specific Features

Learning Commonalities in RDF

Learning Commonalities in RDF

... something (b) entitled “LGG in RDF” has somebody (b 1 ) as contact author. A triple models an assertion, either for a class (unary relation) or for a property (binary relation). Table 1 (top) shows the use of ...

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Learning Commonalities in RDF and SPARQL

Learning Commonalities in RDF and SPARQL

... more specific lgg, a ...not specific to lggs of BGPQs ...on learning some lgg of BGPQs w.r.t. RDFS constraints; learning as minimal as possible lggs is a perspective of this work dis- cussed ...

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Learning Instance-Specific Predictive Models

Learning Instance-Specific Predictive Models

... the features of the test instance that is then used to classify it, and is an example of a model-based instance-specific method that performs model ...the learning rate to ...model learning ...

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E-Learning Security Models

E-Learning Security Models

... of e-learning technologies into practice of traditional brick-and-mortar universities (Kultan, ...system features of e- learning into traditional learning ...

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Learning with Probabilistic Features for Improved Pipeline Models

Learning with Probabilistic Features for Improved Pipeline Models

... novel learning framework for pipeline models aimed at improving the com- munication between consecutive stages in a ...abilistic features used at other stages down- ...probabilistic features ...

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Datasets, features, learning, and models in visual recognition

Datasets, features, learning, and models in visual recognition

... local features (thus it is called “bag of features” similar to the term “bag of words” popularly used in natural language processing and information retrieval communities) which should have strong spatial ...

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Structure learning of context-specific graphical models

Structure learning of context-specific graphical models

... graphical models and the main emphasis is on learning the structure of such models from ...graphical models compactly represent a joint dis- tribution through a factorization justified by ...

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A Comparative Study Between E-Learning Features

A Comparative Study Between E-Learning Features

... technologies, E-learning has been employed in multiple universities, as well as in wide range of training centers and ...of E-learning. It shows the evolution of E- learning, ...

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Revenue Models for E-Learning at Universities

Revenue Models for E-Learning at Universities

... an e-learning ...university’s e-learning system is a challenging task, because it would have to include non-quantitative benefits like, for example, increased ...an e-learning ...

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A look at e-learning models: investigating their value for developing an e-learning strategy

A look at e-learning models: investigating their value for developing an e-learning strategy

... different models. Traditional business models such as Michael Porter’s five forces model could be used to identify possible threats in a specific market or a SWOT analysis could be used to determine ...

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On explaining machine learning models by evolving crucial and compact features

On explaining machine learning models by evolving crucial and compact features

... Machine Learning (ML) ...evolved features is not explicitly bound or minimized though this is arguably key for ...constructing features that are (1) Of small-enough number, to enable visualization of ...

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An evaluation of different features and learning models for anomalous event detection

An evaluation of different features and learning models for anomalous event detection

... art features to detect the presence of the abnormal objects in the ...extracted features in different combinations are modeled using different state of the art models such as Gaussian mixture ...

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Clinical and Sociodemographic Features of Children and Adolescents with Specific Learning Disorder (SLD)

Clinical and Sociodemographic Features of Children and Adolescents with Specific Learning Disorder (SLD)

... with specific learning disorder (SLD) was aimed and if there are any distinctive patterns of Weschler Intelligence Scale for Children-Revised (WISC-R) performance, accepted as a determiner of cognitive ...

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Web Spam Detection Using Machine Learning in Specific Domain Features

Web Spam Detection Using Machine Learning in Specific Domain Features

... of E-mails and web pages are considered spam either in Simple Mail Transfer Protocol (SMTP) or search ...In E-mails spam detection, Bayesian Filters are widely and successfully applied for the sake of ...

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Pan-cancer stratification of solid human epithelial tumors and cancer cell lines reveals commonalities and tissue-specific features of the CpG island methylator phenotype

Pan-cancer stratification of solid human epithelial tumors and cancer cell lines reveals commonalities and tissue-specific features of the CpG island methylator phenotype

... with specific clinical features, including overall survival in several cancer types, highlight the importance of the CIMP+/ − designation for individual tumor evaluation and personalized ...

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Enhancements of E-learning system by using social network features

Enhancements of E-learning system by using social network features

... in learning and transfer knowledge, while strategic management academics might focus on topics such as how the organization culture, system, core competitiveness and knowledge may be integrated and linked ...in ...

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FOREX Web-Based Trading Platform with E-Learning Features

FOREX Web-Based Trading Platform with E-Learning Features

... Technical analysis methods have always been the preferred analysis method chosen by traders in the industry as demonstrated by the survey conducted in various studies whereby 90% of respondents prefer to use technical ...

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Accurate Patient Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning

Accurate Patient Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning

... Machine Learning (ML), with var- ious algorithms having been developed to allow knowledge trans- fer in jointly building different-but-inherently related mod- ...TL models can account for potential vari- ...

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Developing Interaction 3D Models for E Learning Applications

Developing Interaction 3D Models for E Learning Applications

... To help designers writing compatible code for all browsers, JavaScript allows browser detection, such that particular code can be written for specific browsers. Creating and updating cookies and data validation ...

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Teaching Aids and Work With Models in e‑Learning Environments

Teaching Aids and Work With Models in e‑Learning Environments

... very specific demands are put on pupils if they are to understand a projection or a model transformed into 2D form on a ...with models, projections and especially computer simulations in virtual ...computer ...

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