Multiple 发表于 2025-3-25 07:17:00
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Generalizing Psychological Similarity Spaces to Unseen Stimuli,orks (ANNs) in order to generalize the similarity space to unseen inputs. In our second study, we show that a linear regression from the activation vectors of a convolutional ANN to similarity spaces obtained by MDS can be successful and that the results are sensitive to the number of dimensions of the similarity space.凶猛 发表于 2025-3-25 21:52:04
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Generalizing Psychological Similarity Spaces to Unseen Stimuli, typically obtained through multidimensional scaling (MDS), which converts human dissimilarity ratings for a fixed set of stimuli into a spatial representation. One can distinguish metric MDS (which assumes that the dissimilarity ratings are interval or ratio scaled) from nonmetric MDS (which only a多骨 发表于 2025-3-26 07:52:56
,Theories of Meaning for the Internet of Things,he . (i.e., .), (2) the . (i.e., .), (3) the ., and (4) the .. Given the peculiarities of the Internet of Things, we pay particular attention to (a) . (i.e., how to establish a connection to the world), (b) . (i.e., how to align world representations), and (c) the . of world knowledge (i.e., how to无动于衷 发表于 2025-3-26 12:29:32
A Qualitative Similarity Framework for the Interpretation of Natural Language Similarity Expressiontics, in particular the semantics of expressions of similarity and sameness and their role in comparison and ad-hoc kind formation. The framework makes use of attribute spaces, which are well-established in AI and also in some branches of natural language semantics, e.g., frame-based approaches (Bar昏暗 发表于 2025-3-26 13:16:20
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Evaluating Semantic Co-creation by Using a Marker as a Linguistic Constraint Tool in Shared Cognitiscussion converge. The use of linguistic constraint tools (for example a shared marker) enable participants to focus on communication, improving communicative success. Recent results state that the best communicative success can be achieved if two users can interact in a restricted way, so called te