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Relating models of backtracking [PDF]
Past attempts to relate two well-known models of backtracking computation have met with only limited success. We relate these two models using logical relations. We accommodate higher-order values and infinite computations. We also provide an operational semantics, and we prove it adequate for both models.
Mitchell Wand, Dale Vaillancourt
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Modeling Relational Data with Graph Convolutional Networks
Extended Semantic Web Conference, 2017Knowledge graphs enable a wide variety of applications, including question answering and information retrieval. Despite the great effort invested in their creation and maintenance, even the largest (e.g., Yago, DBPedia or Wikidata) remain incomplete.
M. Schlichtkrull+5 more
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Modeling MongoDB with Relational Model
2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013Relational databases have been prevailing for the last two decades, with features of clear semantics and ease of use with SQL supported by the underlying theory, relational algebra. Relational databases provide good support for structural data management.
Gansen Zhao+3 more
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On the modelling relation [PDF]
AbstractSome conceptual problems which are related to the way data (i.e. empirical information) are represented in model building are discussed. Elements of a framework for modelling are proposed in which a constructive relationship between the data and the modelling relation itself is incorporated.
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Adapted Physical Activity Quarterly, 2019
This study aims to explore the perception of students with special needs on inclusion in physical education and identify the factors that facilitate or inhibit their inclusion.
Lijuan Wang
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This study aims to explore the perception of students with special needs on inclusion in physical education and identify the factors that facilitate or inhibit their inclusion.
Lijuan Wang
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This chapter gives an overview over smooth backfitting-type estimators in additive models. Moreover, it illustrates their wide applicability in models closely related to additive models such as nonparametric regression with dependent error variables where the errors can be transformed to white noise by a linear transformation, nonparametric regression ...
Jeffrey S. Racine+5 more
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The relational model with relation-valued attributes
Information Systems, 1986zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Schek, Hans-Jörg, Scholl, Marc
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ACM SIGAPL APL Quote Quad, 1982
During the past five years, Xerox has implemented a number of APL applications which interface with an internally developed relational data store. The syntax and features of the Xerox Planning Data Management System (XPDMS) are outlined, and several commonly used application utilities, which extend the power of XPDMS in areas such as array structuring ...
Robert M. Taylor, J. Michael Blackford
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During the past five years, Xerox has implemented a number of APL applications which interface with an internally developed relational data store. The syntax and features of the Xerox Planning Data Management System (XPDMS) are outlined, and several commonly used application utilities, which extend the power of XPDMS in areas such as array structuring ...
Robert M. Taylor, J. Michael Blackford
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In this chapter we introduce the relational model, a collection of methods and techniques for organizing databases centered on the notion of a relation as the data structure. After we present the notion of a relation, we present other fundamental concepts such as candidate key, primary key and foreign key.
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2002
Publisher Summary This chapter presents the basic elements of the relational data model and its terminology. A database is a place where data is stored, but there is more to it than that: it also stores information about the relationships between pieces of data. The organization of a database is a logical concept rather than a physical one.
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Publisher Summary This chapter presents the basic elements of the relational data model and its terminology. A database is a place where data is stored, but there is more to it than that: it also stores information about the relationships between pieces of data. The organization of a database is a logical concept rather than a physical one.
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