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Distributed Representations of Expertise
2016
Proceedings of the 2016 SIAM International Conference on Data Mining
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We embed all historical task data in a lower dimension space and learn vector representations of expertise based on both solved and unsolved tasks. ...
The learnt vector representations can be used to compare expertise in a large organization and optimize expert allocation. ...
In this paper, we developed two models to learn distributed representations of expertise which can convey both aspects. ...
doi:10.1137/1.9781611974348.60
dblp:conf/sdm/HanTSSCY16
fatcat:teqolc7tubhshjp4flmuibfigm
Computational approaches to the development of perceptual expertise
2004
Trends in Cognitive Sciences
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representations [11] . ...
Perceptual expertise might tune perceptual representations; perception might not just passively describe the world, but change according to experience and goals [8 -10]. ...
The authors wish to thank members of the Perceptual Expertise Network (funded by JSMF) for helpful discussions. ...
doi:10.1016/j.tics.2004.06.001
pmid:15335465
fatcat:3jo52eaj5na37pj7s4p4hbelui
Expert programmers have fine-tuned cortical representations of source code
[article]
2020
bioRxiv
pre-print
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Our results suggest that programming expertise is built up on fine-tuned cortical representations specialized for the domain of programming. ...
We here address this issue by associating the cortical representation of source code with individual programming expertise using a data-driven decoding approach. ...
programming expertise and domainspecific cortical representations in these brain areas widely distributed in the frontal, parietal, and temporal cortices. ...
doi:10.1101/2020.01.28.923953
fatcat:6ua7hwim7vblfam3o6da56o3aq
Inferring Expertise in Knowledge and Prediction Ranking Tasks
2012
Topics in Cognitive Science
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We apply a cognitive modeling approach to the problem of measuring expertise on rank ordering problems. ...
We show that our model-based measure of expertise outperforms self-report measures, taken both before and after completing the ordering of items, in terms of correlation with the actual accuracy of the ...
This article is based on a paper presented at the 2011 Annual Conference of the Cognitive Science Society. ...
doi:10.1111/j.1756-8765.2011.01175.x
pmid:22253187
fatcat:zapkpmpevrbrhikkyp66lg22ua
Expert programmers have fine-tuned cortical representations of source code
2020
eNeuro
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This study provides evidence that outstanding performances of expert programmers are associated with domain-specific cortical representations in these widely distributed brain areas. ...
Our results suggest that programming expertise is built on fine-tuned cortical representations specialized for the domain of programming. ...
The combination of recent decoding/encoding approaches and distributed representations of source code may enable us to build a computational model of program comprehension that connects semantic features ...
doi:10.1523/eneuro.0405-20.2020
fatcat:c6tntnw35bajdjeyvcsnwx7cpm
Active Learning for Crowdsourcing Using Knowledge Transfer
2014
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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This paper studies the active learning problem in crowdsourcing settings, where multiple imperfect annotators with varying levels of expertise are available for labeling the data in a given task. ...
To overcome data scarcity we propose a new probabilistic model that transfers knowledge from abundant unlabeled data in auxiliary domains to help estimate labelers' expertise. ...
The proposed model explicitly represents the expertise of labelers as a distribution over a higher-level representation learned by sparse coding, and unlabeled data are exploited from a related domain ...
doi:10.1609/aaai.v28i1.8993
fatcat:2ynw4ua6izboniesuebtbfsuw4
Dynamic Partition Models
[article]
2017
arXiv
pre-print
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We present a new approach for learning compact and intuitive distributed representations with binary encoding. ...
Rather than summing up expert votes as in products of experts, we employ for each variable the opinion of the most reliable expert. ...
A popular model family with latent binary representation are products of experts (Hinton, 2002) . In such a model the individual distributions P k are multiplied together and renormalized. ...
arXiv:1702.04832v1
fatcat:2utzaq3a4zegphpccair3di544
Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering
[chapter]
2020
Lecture Notes in Computer Science
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These representations are inferred by means of Gibbs sampling under a new Bayesian probabilistic model of discounted user expertise and asking-answering behavior. ...
Instead, the discounted expertise under not yet replied tags is predicted via a latent-factor representation of both answerers and tags. ...
Otherwise, if the expertise of u under t is an unknown entry of E, then E ut is suitably predicted by resorting to the latent-factor representations of u and t under ENGAGE. ...
doi:10.1007/978-3-030-47426-3_4
fatcat:aiyfg6bjnbczpj6gc2iyz2i4se
The Effect Level of Expertise on the Didactic Functionalities for the Teaching Gestuality of Athletic Activities: The Shot Put
2016
OALib
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The aim of this study is to investigate the effect of expertise on didactic functionality of the teaching gesture of two teachers with different expertise and similar experience. ...
Indeed, the expert teacher uses more representational gestures in comparison with the polyvalent that uses the manipulations in favour of other actions. ...
Distribution of gestural categories of teachers. ...
doi:10.4236/oalib.1103052
fatcat:cszzcxbt2zdwnlpnle2a3yanaa
Social representations of wine and culture: A comparison between France and New Zealand
2013
Food Quality and Preference
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The aim of the present study was to investigate social representations of wine as a function of wine expertise and culture. ...
The objective of this research was to study the influence of expertise on social representations of wine from French and New Zealanders. ...
Table 1 1 Participants' age distribution across culture and level of expertise. Level of expertise
Experts
M.Mouret et al. / Food Quality and Preference 30 (2013) 102-107 ...
doi:10.1016/j.foodqual.2013.04.014
fatcat:d2xc2calhvewldfciprxuu7jl4
A Cognitive Model for Aggregating People's Rankings
2014
PLoS ONE
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We develop a cognitive modeling approach, motivated by classic theories of knowledge representation and judgment from psychology, for combining people's rankings of items. ...
We implement the cognitive model as a Bayesian graphical model, and use computational sampling to infer an aggregate ranking and measures of the individual expertise. ...
Acknowledgments We thank Pernille Hemmer and Mindy de Young for their assistance in data collection, and Tom Wallsten and an anonymous reviewer for helpful comments on an earlier version of this paper. ...
doi:10.1371/journal.pone.0096431
pmid:24816733
pmcid:PMC4015936
fatcat:5fjmq5gqavardjvhrhzcv272ie
Similar researcher search in academic environments
2012
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries - JCDL '12
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In response to a 'researcher name' query, the goal of a researcher recommender system is to output the list of researchers that have similar expertise as that of the queried researcher. ...
We propose models for computing similarity between researchers based on expertise profiles extracted from their publications and academic homepages. ...
KL Divergence (KLD): In this representation, a researcher profile is represented in terms of a probability distribution. ...
doi:10.1145/2232817.2232849
dblp:conf/jcdl/GollapalliMG12
fatcat:opljsvgag5hgfkwukfirut4ze4
How Visual Expertise Changes Representational Geometry: A Behavioral and Neural Perspective
2021
Journal of Cognitive Neuroscience
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This study illustrates the potential of an analysis of representational geometry to understand to what extent expertise changes neural information processing. ...
We present a multivariate fMRI study focusing upon the representational similarity among objects of expertise at the subordinate level. ...
Results indicated the presence of distributed expertise-related neural changes for both domains of expertise, with more widespread effects for ornithology compared to mineralogy. ...
doi:10.1162/jocn_a_01778
pmid:34748633
fatcat:si7xrm67nneb7ef6vdy2qakqka
Expertise visualization: An implementation and study based on cognitive fit theory
2006
Decision Support Systems
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These systems have successfully applied many information technologies developed for document management to support collection, processing, and distribution of expertise information. ...
In this paper, we report a study on the potential of applying visualization techniques to support more effective and efficient exploration of the expertise information space. ...
field distribution patterns in the table. ...
doi:10.1016/j.dss.2006.01.006
fatcat:6z62jt5tu5buzceybjzuvalr7m
Interaction Design, mass communication and the challenge of distributed expertise
[chapter]
2013
Design and Ethics
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Interaction design, mass communication and the challenge of distributed expertise. ...
If it is true that we are evolving from an era of representation to one of productivity, from expert provision to 'distributed expertise,' what does this mean for interaction design? ...
If the era of semiotic and political representation is indeed giving way to a new paradigm based on mass creativity, consumer productivity and distributed expertise, then the design professions, and those ...
doi:10.4324/9780203123973-16
fatcat:suokszpqtzhzxic6l74y6pyb6e
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