Results 61 to 70 of about 464,134 (277)
A Complex Network Approach to Distributional Semantic Models. [PDF]
PLoS ONE, 2015 A number of studies on network analysis have focused on language networks based on free word association, which reflects human lexical knowledge, and have demonstrated the small-world and scale-free properties in the word association network ...
Akira Utsumi
doaj +1 more source
Brain Stimulation, 2023 Background: The continuous decline of executive abilities with age is mirrored by increased neural activity of domain-general networks during task processing.
Sandra Martin +3 more
doaj +1 more source
Neurally Implementable Semantic Networks [PDF]
, 2013 We propose general principles for semantic networks allowing them to be implemented as dynamical neural networks. Major features of our scheme include: (a) the interpretation that each node in a network stands for a bound integration of the meanings of ...
Collins, John C., Evans, Garrett N.
core
Predicting and Explaining Human Semantic Search in a Cognitive Model
, 2017 Recent work has attempted to characterize the structure of semantic memory and the search algorithms which, together, best approximate human patterns of search revealed in a semantic fluency task.
Miscevic, Filip +2 more
core +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Cognitive responsive e-assessment of constructive e-learning
Je-LKS: Journal of E-Learning and Knowledge Society, 2016 Semantic networks from 900 high education students from different knowledge domains were obtained by using a computer system. Then computer simulated schemata behavior and/or analysis of semantic networks allowed to select relevant course schemata ...
Guadalupe Elizabeth Morales-Martinez +1 more
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NeuroImage, 2021 Integrating new information into existing schematic/semantic structures of knowledge is the basis of learning in our everyday life as it enables structured representation of information and goal-directed behaviour in an ever-changing environment. However,
Berta Nicolás +5 more
doaj +1 more source
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
, 2017 3D scene understanding is important for robots to interact with the 3D world in a meaningful way. Most previous works on 3D scene understanding focus on recognizing geometrical or semantic properties of the scene independently. In this work, we introduce
Fox, Dieter, Xiang, Yu
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Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Zero-Shot Learning for Semantic Utterance Classification [PDF]
, 2014 We propose a novel zero-shot learning method for semantic utterance classification (SUC). It learns a classifier $f: X \to Y$ for problems where none of the semantic categories $Y$ are present in the training set.
Dauphin, Yann N. +3 more
core +1 more source