cosine similarity function (Landauer Inc)
90
Structured Review
Landauer Inc
cosine similarity function
Cosine Similarity Function, supplied by Landauer Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cosine+function/cosine+similarity/pmc10837332-57-1-23
Average 90 stars, based on 1 article reviews
Cosine Similarity Function, supplied by Landauer Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cosine+function/cosine+similarity/pmc10837332-57-1-23
Average 90 stars, based on 1 article reviews
cosine similarity function - by Bioz Stars,
2026-11
90/100 stars
Images
Related Articles
other:Article Title: Multiple Sclerosis is Associated with Differences in Semantic Memory Structure Article Snippet: The cosine similarity function used in these analyses is related to Pearson’s correlation and is frequently used in analyses of textual Article Title: MINERVA OPS: A computational framework for the representation and recognition of orthographic, phonological, and semantic associates. Article Snippet: Remembering is constructive.. Thus, a complete account of memory must predict patterns in both veridical and false recognition.. Ideally, that account will predict the content of what people falsely remember, not just that they falsely remember. Article Title: A computational account of item-based directed forgetting for nonwords: Incorporating orthographic representations in MINERVA 2. Article Snippet: Recent research on item-method directed forgetting demonstrates that forget instructions not only decrease recognition for targets, but also decrease false recognition for foils from the same semantic categories as targets instructed to be forgotten.. According to the selective rehearsal account of directed forgetting, this finding suggests that remember instructions may engage elaborative rehearsal of the category-level information of items.. In contrast to this explanation, Reid and Jamieson (Canadian Journal of Experimental Psychology / Revue canadienne de psychologie expérimentale, 76(2), 75–86, 2022) proposed that the differential rates of false recognition may emerge at retrieval when foils from “remember” and “forget” categories are compared to traces in memory. Article Title: Understanding the role of linguistic distributional knowledge in cognition Article Snippet: • Cosine distance is a widely used Article Title: Multiple sclerosis is associated with differences in semantic memory structure. Article Snippet: Amy L. Lebkuecher , Abigail L. Cosgrove, Lauren B. Strober , Nancy D. Chiaravalloti 5, , and Michele T. Diaz 1 Laboratory for Cognition and Neural Stimulation, University of Pennsylvania 2 Cognition and Action Lab, Moss Rehabilitation Research Institute, Elkins Park, Pennsylvania, United States 3 Department of Psychology, The Pennsylvania State University 4 Center for Neuropsychology and Neuroscience Research, Kessler Foundation, East Hanover, New Jersey, United States 5 Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Rutgers University 6 Center for Traumatic Brain Injury Research, Kessler Foundation, East Hanover, New Jersey, United States Article Title: Flexible Semantic Network Structure Supports the Production of Creative Metaphor Article Snippet: Metaphors are a common way to express creative language, yet the cognitive basis of figurative language production remains poorly understood.. Previous studies found that higher creative individuals can better comprehend novel metaphors, potentially due to a more flexible semantic memory network structure conducive to remote conceptual combination.. The present study extends this domain to creative metaphor production and examined whether the ability to produce creative metaphors is related to variation in the structure of semantic memory. Article Title: Understanding the role of linguistic distributional knowledge in cognition Article Snippet: It is defined as: dEuclidean(u, v) = ∑ i (ui − vi)2 √ = |u− v| While Euclidean distance is widely used (e.g. Lund & Burgess, 1996; Patel et al., 1998), it is affected by the overall magnitude of each word vector and is typically inferior to alternatives which are not affected by vector magnitude (Bullinaria & Levy, 2007, 2012). . Cosine distance is a widely used Plasmid Preparation:Article Title: Recruitment of magnitude representations to understand graded words. Article Snippet: Language understanding and mathematics understanding are two fundamental forms of human thinking.. Prior research has largely focused on the question of how language shapes mathematical thinking.. The current study considers the converse question. |