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Modeling and Representation

Efficient modeling and representation of agreement in interval valued data

Efficient modeling and representation of agreement in interval valued data

... effective representation and analysis of uncertainty in human responses, with applications in cyber-security, forest and wildlife manage- ment, and product development, to name a ...cient representation of ...

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Robust Visual Tracking via Appearance Modeling and Sparse Representation

Robust Visual Tracking via Appearance Modeling and Sparse Representation

... appearance modeling techniques named sparse representation [4-6] has been shown to give state-of-the- art robustness against various ...sparse representation attempt to approximate the target state ...

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Foundational Block Modeling Structures for Computer Systems Representation

Foundational Block Modeling Structures for Computer Systems Representation

... Abstract — This work explores and explains the use of basic block modeling structures, their function for representing computer systems and computer systems structures. The main use of block diagrams and notations ...

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Business process redesign : an optimal process modeling representation for knowledge intensive organizations

Business process redesign : an optimal process modeling representation for knowledge intensive organizations

... process modeling representation approaches through a ...flow representation, the Activity Flow representation and a combination of the two approaches in which an Activity diagram with ...

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Language Modeling with Syntactic and Semantic Representation for Sentence Acceptability Predictions

Language Modeling with Syntactic and Semantic Representation for Sentence Acceptability Predictions

... Recently several large pre-trained language mod- els using transformation architecture, like BERT (Devlin et al., 2018), or bidirectional LSTM with attention, such as ELMo (Peters et al., 2018), have achieved state of ...

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HIGH-SPEED LOCOMOTIVE XBOM ONTOLOGY MODELING RESEARCH SUPPORTING MRO SEMANTIC KNOWLEDGE REPRESENTATION

HIGH-SPEED LOCOMOTIVE XBOM ONTOLOGY MODELING RESEARCH SUPPORTING MRO SEMANTIC KNOWLEDGE REPRESENTATION

... knowledge representation is a kind of description of MRO knowledge and the first step of the MRO knowledge ...knowledge representation can be classified into three ...knowledge representation; The ...

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A Novel Inheritance Mechanism for Modeling Knowledge Representation Systems

A Novel Inheritance Mechanism for Modeling Knowledge Representation Systems

... for modeling productivity, and its complete integration with other mechanisms exerts very significant influence on the model’s power of ...for modeling ontologies [12] and other knowledge ...

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Semantic Web Domain Knowledge Representation Using Software Engineering Modeling Technique

Semantic Web Domain Knowledge Representation Using Software Engineering Modeling Technique

... knowledge representation using software engineering modeling techniques was concentrated towards developing the mapping of the software engineering models to the RDF, RDFS and other markup languages ...

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From Conceptual Modeling to Logical Representation of Trajectories in DBMS-OR and DW Systems

From Conceptual Modeling to Logical Representation of Trajectories in DBMS-OR and DW Systems

... the representation of different levels of ...the representation and aggrega- tion of trajectories imply the need for the modeling and aggregation of varied and interrelated data types, such as ...

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Quantitative modeling of the neural representation of adjective noun phrases to account for fMRI activation

Quantitative modeling of the neural representation of adjective noun phrases to account for fMRI activation

... of representation might be justified for con- crete nouns (hypothesizing that their neural rep- resentations are largely grounded in sensory- motor features), it might be that a different repre- sentation is ...

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Neural network based representation learning and modeling for speech and speaker recognition

Neural network based representation learning and modeling for speech and speaker recognition

... statistical modeling frameworks such as ASR acoustic modeling, where the end goal is phone ...feature representation (complex DFT features), to make it easier to train acoustic models, such as ...

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Modeling Spatial Data Pooled over Time: Schematic Representation and Monte Carlo Evidences

Modeling Spatial Data Pooled over Time: Schematic Representation and Monte Carlo Evidences

... theoretical modeling development and the application based on spatial data pooled over ...schematic representation of how spatial links can be expressed, depending on the nature of the variable, when ...

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Shape Modeling and Analysis for Object Representation, Reconstruction, and Recognition

Shape Modeling and Analysis for Object Representation, Reconstruction, and Recognition

... shape modeling techniques operate on a smaller subset of sim- ple closed ...for modeling 2D shapes of arbitrary ...shape modeling has been addressed in a Morse theoretic ...

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Modeling Relation Paths for Representation Learning of Knowledge Bases

Modeling Relation Paths for Representation Learning of Knowledge Bases

... of modeling multi-relational data such as social net- works and ...multi-relational representation learning problem, encoding both entities and re- lations in a low-dimensional latent space, based on ...

10

A generative adversarial strategy for modeling relation paths in knowledge base representation learning

A generative adversarial strategy for modeling relation paths in knowledge base representation learning

... broad modeling approach of [8], rather than training RNN on single-hop paths, we will train the RNN on mh-RPs by using ...the modeling of reasoning pathways, rule learning seeks to emulate an inference ...

7

Sequence-to-sequence modeling for graph representation learning

Sequence-to-sequence modeling for graph representation learning

... graph representation approach can be used not only in processing labeled data, such as in graph classification in bioinformatics, but can be also used in many practical applications, such as anomaly detection in ...

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Modeling surface water dynamics in the Amazon Basin using MOSART-Inundation v1.0: impacts of geomorphological parameters and river flow representation

Modeling surface water dynamics in the Amazon Basin using MOSART-Inundation v1.0: impacts of geomorphological parameters and river flow representation

... hydrologic modeling at regional or larger scales uses DEM data obtained by spaceborne ...hydrologic modeling, but some factors limit their ...some modeling studies, elevation values were lowered by a ...

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Sensitivity analysis and probabilistic re-entry modeling for debris using high dimensional model representation based uncertainty treatment

Sensitivity analysis and probabilistic re-entry modeling for debris using high dimensional model representation based uncertainty treatment

... probabilistic modeling of the atmospheric re-entry. Current re-entry modeling tools perform the analysis in a deterministic sense and do not include any uncertainty ...the modeling of atmospheric ...

43

Modeling the Maturation of Grip Selection Planning and Action Representation: Insights from Typical and Atypical Motor Development

Modeling the Maturation of Grip Selection Planning and Action Representation: Insights from Typical and Atypical Motor Development

... neuro-computational modeling suggests that the intended movement, including its terminal location, may be implicitly simulated via internal (neural) representations of the forthcoming action prior to movement ...

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Discovering a Domain Knowledge Representation for Image Grouping: Multimodal Data Modeling, Fusion, and Interactive Learning

Discovering a Domain Knowledge Representation for Image Grouping: Multimodal Data Modeling, Fusion, and Interactive Learning

... multimodal representation learn- ...knowledge representation and con- struct the semantic correspondence between modalities through a shared rep- ...

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