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The forgetting curve hypothesizes the decline of memory retention in time. This curve shows how information is lost over time when there is no attempt to retain it. [1] A related concept is the strength of memory that refers to the durability that memory traces in the brain. The stronger the memory, the longer period of time that a person is ...
Cache-oblivious algorithms are typically analyzed using an idealized model of the cache, sometimes called the cache-oblivious model. This model is much easier to analyze than a real cache's characteristics (which have complex associativity, replacement policies, etc.), but in many cases is provably within a constant factor of a more realistic ...
The Levels of Processing model, created by Fergus I. M. Craik and Robert S. Lockhart in 1972, describes memory recall of stimuli as a function of the depth of mental processing. More analysis produce more elaborate and stronger memory than lower levels of processing. Depth of processing falls on a shallow to deep continuum.
Graph traversal is a subroutine in most graph algorithms. The goal of a graph traversal algorithm is to visit (and / or process) every node of a graph. Graph traversal algorithms, like breadth-first search and depth-first search, are analyzed using the von Neumann model, which assumes uniform memory access cost. This view neglects the fact ...
A study recently published in the journal Communications Psychology, for example, determined that cycling and high-intensity interval training (HIIT) were most likely to help boost memory ...
Model of the Memory Process. Human memory is the process in which information and material is encoded, stored and retrieved in the brain. [1] Memory is a property of the central nervous system, with three different classifications: short-term, long-term and sensory memory. [2]
Memory improvement is the act of enhancing one's memory. Factors motivating research on improving memory include conditions such as amnesia , age-related memory loss , people’s desire to enhance their memory, and the search to determine factors that impact memory and cognition .
Table summary of the memory complexity and the link prediction accuracy of the knowledge graph embedding models according to Rossi et al. [5] in terms of Hits@10, MR, and MRR. Best results on each metric for each dataset are in bold. Model name Memory complexity FB15K (Hits@10) FB15K (MR) FB15K (MRR) FB15K - 237 (Hits@10) FB15K - 237 (MR)