Results 11 to 20 of about 3,064,884 (271)

A flexible mandatory access control policy for XML databases [PDF]

, 2007
A flexible mandatory access control policy (MAC) for XML databases is presented in this paper. The label type and label access policy can be defined according to the requirements of applications.
Jin, R, Lü, K, Zhu, H
core   +1 more source

Adsorption of Hyperbranched Arabinogalactan-Proteins from Plant Exudate at the Solid–Liquid Interface

Colloids and Interfaces, 2019
Adsorption of hyperbranched arabinogalactan-proteins (AGPs) from two plant exudates, A. senegal and A. seyal, was thoroughly studied at the solid−liquid interface using quartz crystal microbalance with dissipation monitoring (QCM-D), surface ...
Athénaïs Davantès, Michaël Nigen, Christian Sanchez, Angelina d’Orlando, Denis Renard   +4 more
doaj   +1 more source

Large-Scale Multi-Label Learning with Incomplete Label Assignments [PDF]

, 2014
Multi-label learning deals with the classification problems where each instance can be assigned with multiple labels simultaneously. Conventional multi-label learning approaches mainly focus on exploiting label correlations.
Fan, Wei, Kong, Xiangnan, Li, Li-Jia, Wu, Hang, Wu, Zhaoming, Yu, Philip S., Zhang, Ruofei   +6 more
core   +2 more sources

Making Risk Minimization Tolerant to Label Noise [PDF]

, 2015
In many applications, the training data, from which one needs to learn a classifier, is corrupted with label noise. Many standard algorithms such as SVM perform poorly in presence of label noise.
Ghosh, Aritra, Manwani, Naresh, Sastry, P. S.   +2 more
core   +1 more source

Unveiling New States in 98Zr: Insights from β-decay and γ-γ Angular-Correlation Studies [PDF]

EPJ Web of Conferences
The nuclear structure of the 98Zr nucleus was studied through the β− decay of 98 Yg.s. at the TRIUMF-ISAC facility. The use of the 8π γ-ray spectrometer with its ancillary detectors SCEPTAR and PACES enabled γ-γ and γ-e− coincidence measurements as well ...
Mashtakov K. R., Garrett P. E., Olaizola B., Andreoiu C., Ball G. C., Bender P., Bildstein V., Chester A., Cross D. S., Dawkins H., Demand G. A., Diaz-Varela A., Deng G., Garnsworthy A. B., Hackman G., Hadinia B., Laffoley A. T., Moukaddam M., Park J., Peters E., Radich A. J., Rajabali M., Rand E. T., Rizwan U., Singh B., Starosta K., Svensson C. E., Voss P., Wang Z-M., Wood J. L., Yates S. W.   +30 more
doaj   +1 more source

Point labeling with sliding labels

Computational Geometry, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van Kreveld, M.J., Strijk, T.W., Wolff, A.   +2 more
openaire   +2 more sources

Multi-label classification using ensembles of pruned sets [PDF]

, 2008
This paper presents a Pruned Sets method (PS) for multi-label classification. It is centred on the concept of treating sets of labels as single labels. This allows the classification process to inherently take into account correlations between labels. By
Holmes, Geoffrey, Pfahringer, Bernhard, Read, Jesse   +2 more
core   +2 more sources

Wasting the Future: The Technological Sublime, Communications Technologies, and E-waste

communication +1, 2012
Literally speaking, e-waste is the future of communications. E-waste is the fastest growing waste stream in the world, much of it communications technologies from cell phones to laptops, televisions to peripherals.
Sebine Label
doaj   +1 more source

Relationships among food label use, motivation, and dietary quality. [PDF]

, 2015
Nutrition information on packaged foods supplies information that aids consumers in meeting the recommendations put forth in the US Dietary Guidelines for Americans such as reducing intake of solid fats and added sugars. It is important to understand how
Applegate, Elizabeth A, Beckett, Laurel A, Cassady, Diana L, Ellwood, Kathleen, Gibson, Tanja N, Miller, Lisa M Soederberg, Wilson, Machelle D   +6 more
core   +3 more sources

Transductive Multi-label Zero-shot Learning [PDF]

, 2014
Zero-shot learning has received increasing interest as a means to alleviate the often prohibitive expense of annotating training data for large scale recognition problems.
Fu, Yanwei, Gong, Shaogang, Hospedales, Tim, Xiang, Tao, Yang, Yongxin   +4 more
core   +2 more sources