(1977). Features of similarity. Psychological Review, 84(4), 327-352.Features of similarity - Tversky - 1977 () Citation Context ...l models of similarity have not addressed the temporal aspects of processing. Instead, they have modeled the similarity of two things by algebraic formulas. In...
Structure Mapping in Analogy and Similarity 1997, American Psychologist Respects for Similarity 1993, Psychological Review View all citing articles on Scopus☆ Preparation of this article was supported in part by National Science Foundation Grants BNS-87-20301 and BNS-88-12193, and by the Office of...
Furthermore, our results also suggest that BPP and SZ showed similarity in the connectivity changes between cuneus and insula, between cuneus and putamen, and between cuneus and supramarginal gyrus. Table 3. The disorder-common and disorder-unique connectivity features. The common features included ...
In the original contextual cueing paradigm, participants are instructed to do a visual search task and are asked to find a target letter “T” among a display of distractor letters “L”. For each block throughout an experiment, half of the displays are repeated distractor configurations that c...
After extensive training on large samples of authentic texts, the final embeddings capture nuanced semantic relationships, such as syntactic and thematic similarity between words. Currently, pre-trained vector spaces, such as Word2Vec, are accessible and have been trained on extensive text corpora. ...
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(Extended Data Fig.1e). Instead, the boundary angle gradually and slightly shifted, as reflected by a significantly higher similarity between consecutive days compared to periods spaced more than 20 d apart (Extended Data Fig.1f). This implies that the mismatch between the trained and the ...
features of clustering and model them as a flexible similarity measurement. Meanwhile a new clustering framework is put forward to integrate the cognitive features by employing the similarity measurement. The two attractive advantages are its low complexity and fitness for various types of data sets, ...
Further, a similarity between GAD and high trait anxiety is noted such that at a theoretical level, GAD could be conceptualized as the "basic" anxiety disorder. This point suggests that increased research into GAD may be of benefit to all of the anxiety disorders. In addition, etiological ...
The disadvantage of data-driven grouping is that groups depend only on the statistical similarity between features, which might not coincide with domain-specific interpretations (Chakraborty and Pal 2008). Knowledge-driven grouping Knowledge-driven group formation has the advantage that the dimensionality ...