74. Are aggregation and generalization the same thing? Yes No Answer:B) No Explanation: No, aggregation and generalization are not the same things as aggregation relates to instances and generalization relates to classes. Learn & Test Your Skills ...
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This paper is a generalization of [Calvet, L., Grandmont, J.-M., Lemaire, I., 2002. Aggregation of heterogenous beliefs and asset pricing in complete financial markets. Working paper] to a dynamic setting. We propose a method to aggregate heterogeneous individual probability beliefs, in dynamic...
We show that in the scalar case this results in a quasi-additive functional form. The generalization to many attributes is however shown to lead to few restrictions.关键词: INDEX numbers (Economics)SET theory DOI: 10.1016/0022-0531(80)90066-6 被引量: 22 ...
The Aczel-Alsina t-norms ware proposed by Aczel and Alsina in 1982, which are a very effective and dominant technique used in the construction of any kind of aggregation operators. Moreover, the Algebraic t-norms are a special case of the Aczel-Alsina t-norms because of the parameter 0<p...
Global conditions for such reaggregation involve nonjointness restrictions in both the plant and product dimensions.In the neighborhood of the firm's fixed overheads, however, restrictions may be eased by appealing to a multiplant generalizationof Kohli's notion of almost nonjointness, which we ...
For another, we observe that the common sense priors in the semantic layout information of different scenes are domain-invariant. Motivated by these observations, a novel approach is proposed for domain generalization semantic segmentation by using the edge and semantic layout information. Specifically,...
Scoring rules for judgment aggregation distance-based aggregation, premise- and conclusion-based aggregation, truth-tracking rules, and a generalization of the Borda rule to judgment aggregation ... Franz,Dietrich - 《Social Choice & Welfare》 被引量: 37发表: 2014年 ...
In this study, we initially evaluated our model’s performance and generalization capability based on the mAP metric using the public COCO 2017 dataset. Table 1 presents the object detection results on the COCO Val2017 validation set. Our model achieved precision performances of 44.8% and 60.7% ...
Artificial-intelligence techniques such as various forms of artificial neural networks (ANN) can be very useful for segmentation, as they enable superior generalization and non-linear pattern-recognition capabilities via network architecture and deep learning (i.e., more than one hidden layer of neuron...