Results 61 to 70 of about 371,058 (197)
SVM-Based Multi-Dividing Ontology Learning Algorithm and Similarity Measuring on Topological Indices
Ontology is one of the oldest terminologies in physics and is used to describe the origin and most essential attributes of all things in the world. With the development of contemporary science, ontology was given a specific definition and then introduced
Linli Zhu +4 more
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Conceptual K-Means Algorithm with Similarity Functions [PDF]
The conceptual k-means algorithm consists of two steps. In the first step the clusters are obtained (aggregation step) and in the second one the concepts or properties for those clusters are generated (characterization step). We consider the conceptual k-means management of mixed, qualitative and quantitative, features is inappropriate.
I. O. Ayaquica-Martínez +2 more
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When constructing a new data classification algorithm, relevant quality indices such as classification accuracy (ACC) or the area under the receiver operating characteristic curve (AUC) should be investigated. End-users of these algorithms are interested
Czmil Sylwester +2 more
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Focusing for Pronoun Resolution in English Discourse: An Implementation
Anaphora resolution is one of the most active research areas in natural language processing. This study examines focusing as a tool for the resolution of pronouns which are a kind of anaphora. Focusing is a discourse phenomenon like anaphora.
Akman, Varol, Ersan, Ebru
core
Rainfall–runoff models are crucial tools for managing water resources. The absence of reliable rainfall data in many regions of the world is a major limitation for these models, notably in many African countries, although some recent global rainfall ...
Rayane Bounab +3 more
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EVOLUTIONARY MODELING PROBLEMS IN STRUCTURAL SYNTHESIS OF INFORMATION NETWORKS OF AUTOMATED CONTROL SYSTEMS [PDF]
This paper provides a new approach for solving a problem of modeling and structural syntheses of information networks of automated control systems by applying fuzzy sets theory, fuzzy logic and genetic algorithms.
N.R.Yusupbekov +3 more
doaj
Detecting Mismatches between a User's and an Expert's Conceptualisations
The work presented in this paper is part of our ongoing research on applying commonsense reasoning to elicit and maintain models that represent users' conceptualisations.
Agarwal, Pragya +2 more
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Algorithmic Disciplines. How Algorithms Make and Unmake History
The essay discusses the algorithmic temporal regime, starting with an exploration of Bruno Latour's theory and its critics, to elaborate an understanding of technology as not only an operational but also an ideological construct.
Isabella Consolati
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Geospatial domain is characterised by vagueness, especially in the semantic disambiguation of the concepts in the domain, which makes defining universally accepted geo- ontology an onerous task.
Agarwal, Pragya +2 more
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SemGrAM - Integrating semantic graphs into association rule mining [PDF]
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear.
Fule, Peter, Roddick, John Francis
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