Results 31 to 40 of about 39,182,227 (344)
On the closure of relational models
Journal of Multivariate Analysis, 2016 Relational models for contingency tables are generalizations of log-linear models, allowing effects associated with arbitrary subsets of cells in a possibly incomplete table, and not necessarily containing the overall effect. In this generality, the MLEs under Poisson and multinomial sampling are not always identical.
Anna Klimova, Tamás Rudas
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Hierarchical Infinite Relational Model
CoRR, 2021 11 pages, 6 figures, 4 tables.
Feras A. Saad, Vikash K. Mansinghka
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Journal of Cleaner Production, 2018 With the marine economy being an extension of the land economy, it is necessary to quantify the inter-industry linkage effects between China's marine-land economy for realizing the complementarities and synergies between the maritime and land economy and
K. Yin, Yao Xu, Xue-Mei Li, Xue Jin
semanticscholar +1 more source
The Amati relation in the “fireshell” model [PDF]
Astronomy & Astrophysics, 2008 (Shortened) CONTEXT: [...] AIMS: Motivated by the relation proposed by Amati and collaborators, we look within the ``fireshell'' model for a relation between the peak energy E_p of the νF_νtotal time-integrated spectrum of the afterglow and the total energy of the afterglow E_{aft}, which in our model encompasses and extends the prompt emission. METODS:
GUIDA R +5 more
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RESEARCH OF METHODS TO SUPPORT DATA MIGRATION BETWEEN RELATIONAL AND DOCUMENT DATA STORAGE MODELS
Сучасний стан наукових досліджень та технологій в промисловості, 2022 The subject matter of the article is heterogeneous model-inhomogeneous data migration between relational and document-oriented data storage models, existing strategies and methods to support such migrations, the use of relational algebra and set theory ...
Mariia Peretiatko +2 more
doaj +1 more source
, 2014 We provide a survey on relational models. Relational models describe complete networked {domains by taking into account global dependencies in the data}. Relational models can lead to more accurate predictions if compared to non-relational machine learning approaches.
Volker Tresp, Maximilian Nickel
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A Joint Sequential and Relational Model for Frame-Semantic Parsing
Conference on Empirical Methods in Natural Language Processing, 2017 We introduce a new method for frame-semantic parsing that significantly improves the prior state of the art. Our model leverages the advantages of a deep bidirectional LSTM network which predicts semantic role labels word by word and a relational network
Bi-Shan Yang, Tom Michael Mitchell
semanticscholar +1 more source
Relational Knowledge Distillation [PDF]
Computer Vision and Pattern Recognition, 2019 Knowledge distillation aims at transferring knowledge acquired in one model (a teacher) to another model (a student) that is typically smaller. Previous approaches can be expressed as a form of training the student to mimic output activations of ...
Wonpyo Park +3 more
semanticscholar +1 more source
Latent Relational Model for Relation Extraction
, 2019 Analogy is a fundamental component of the way we think and process thought. Solving a word analogy problem, such as mason is to stone as carpenter is to wood, requires capabilities in recognizing the implicit relations between the two word pairs. In this paper, we describe the analogy problem from a computational linguistics point of view and explore ...
Gaetano Rossiello +3 more
openaire +2 more sources