GLOOM
发表于 2025-3-30 10:34:11
Conference proceedings 2016he contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Da
AER
发表于 2025-3-30 14:29:23
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攀登
发表于 2025-3-30 18:26:59
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BILE
发表于 2025-3-30 23:52:48
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obnoxious
发表于 2025-3-31 01:58:06
Latent Variables and Marketing Theory: The Paradigm Shiftbetween the realist and anti-realist positions within the classical test theory and item response theory(IRT) psychometric traditions in measurement of latent variables(Measurement 6:25–53, 2008; Salzberger and Koller, J Bus Res 66:1307–1317, 2013). However, this bi-polar view seems to be too distan
In-Situ
发表于 2025-3-31 09:06:36
Business Intelligence in the Context of Integrated Care Systems (ICS): Experiences from the ICS “Gese various health care players can be connected. Business intelligence (BI) technologies are seen as valuable tools to gain insights and value from these huge volumes of data. However so far there are just sparse experiences about BI used in the integrated care (IC) context. Therefore the aim of this
OPINE
发表于 2025-3-31 11:31:01
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一大群
发表于 2025-3-31 14:42:33
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nugatory
发表于 2025-3-31 19:53:40
Standard and Novel Model Selection Criteria in the Pairwise Likelihood Estimation of a Mixture Modelses of criteria; we focus on those penalizing the log-likelihoodwith a penalty term, that accounts for model complexity. However, a full likelihood is not always computationally feasible. To overcome this issue, the likelihood is replaced with a surrogateobjective function. Thus, a question arises n
Dealing
发表于 2025-4-1 00:30:28
Textual Information Localization and Retrieval in Document Images Based on Quadtree Decompositionon-based. In this paper, we propose a method guided by the quadtreedecomposition. The principle of the method is to recursively decompose regions of a document image is four equal regions, starting from the image of the whole document. At each step of the decomposition process an OCR engine is used