EasySVM: A visual analysis approach for open-box support vector machines

Autor: Yuxin Ma, Wei Chen, Xiaohong Ma, Jiayi Xu, Xinxin Huang, Ross Maciejewski, Anthony K. H. Tung

Publikováno v: Computational Visual Media, Vol 3, Iss 2, Pp 161-175 (2017)

Abstract Support vector machines (SVMs) are supervised learning models traditionally employed for classification and regression analysis. In classification analysis, a set of training data is chosen, and each instance in the training data is assigned

Externí odkaz: https://doaj.org/article/06b9924872884f7e960f23154e88a710

Stabilizing and Simplifying Sharpened Dimensionality Reduction Using Deep Learning

Autor: Mateus Espadoto, Youngjoo Kim, Scott C. Trager, Jos B. T. M. Roerdink, Alexandru C. Telea

Publikováno v: SN Computer Science, 4(3):244

Dimensionality reduction (DR) methods create 2D scatterplots of high-dimensional data for visual exploration. As such scatterplots are often used to reason about the cluster structure of the data, this requires DR methods with good cluster preservati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2da7fd07f22b1c13c334faacf4c3543
https://research.rug.nl/en/publications/ac2579c0-c618-460b-b955-33b3534d1148

Implication degree and delay on recall of events: An experimental and HDV study.

Autor: Javier Aroztegui, Sofian El-Astal, Antonio Manzanero

Publikováno v: European Journal of Psychology Applied to Legal Context, Vol 1, Iss 2, Pp 183-203 (2009)

This paper has done an experiment to test the effect of both retention (immediate vs. delayed one week) and implication degree (neutral vs. involved perspectives) over accuracy and quality of a complex event memory. 56 subjects witnessed a traffic ac

Externí odkaz: https://doaj.org/article/de8bcb72b8b94a4d80b518b46fee087a

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Underlying processes behind false perspective production

Autor: Manzanero, Antonio L., López, Beatriz, Aróztegui, Javier

Publikováno v: Anales de Psicología, Volume: 32, Issue: 1, Pages: 256-265, Published: JAN 2016
DIGITUM. Depósito Digital Institucional de la Universidad de Murcia
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This study aimed to determine the extent to which Reality Monitoring (RM) content analysis can provide useful information when discriminating between actual versus false statements. Participants were instructed to either describe a traffic accident a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f5d0c974a37b4f6b980141adbecb9252
http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0212-97282016000100030&lng=en&tlng=en