Sex differences in serial pattern learning in mice
Sign Up to like & getrecommendations! Published in 2019 at "Behavioural Processes"
DOI: 10.1016/j.beproc.2019.103958
Abstract: Numerous investigators have examined the hypothesis that males and females learn or perform differentially on various tasks. However, many of the behavioural investigations with nonhuman animals (e.g., rats) have used paradigms that do not permit… read more here.
Keywords: pattern learning; serial pattern; sex differences; differences serial ... See more keywords
Effects of picture valence on serial pattern learning performance in humans
Sign Up to like & getrecommendations! Published in 2019 at "Learning and Motivation"
DOI: 10.1016/j.lmot.2019.02.003
Abstract: Abstract Much comparative work has explored humans’ and nonhuman animals’ sensitivity to sequence structure, mainly under conditions attempting to maximize learning. Conditions in an organism’s everyday reality, though, may not match these ideal circumstances. Organisms… read more here.
Keywords: effects picture; learning performance; pattern learning; valenced pictures ... See more keywords
Multiscale Multidirection Binary Pattern Learning for Discriminant Palmprint Identification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3238753
Abstract: Binary pattern learning has been achieved promising recognition performance in palmprint identification. However, most of direction representation-based methods are hand-crafted. They present the direction characteristics only in one scale, and thus the comprehensive information from… read more here.
Keywords: palmprint identification; pattern learning; identification; direction ... See more keywords
A Novel Pattern Learning Framework With Enhanced Scalability for Continuous Optimization.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2025.3610993
Abstract: Multiobjective optimization problems (MOPs) arise in numerous real-world scenarios, yet finding their solutions with optimal trade-offs can be a formidable challenge. This article studies the continuous optimization problem involving large-scale variables, many objectives, and intricate… read more here.
Keywords: framework; pattern learning; continuous optimization; novel pattern ... See more keywords