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Distributed User Profiling via Spectral Methods
[article]
2013
arXiv
pre-print
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We compute a profile vector for each user (i.e., a low-dimensional vector that characterises her taste) via spectral transformation of observed user-produced ratings for items. ...
In the present paper we investigate the feasibility of user profiling in a distributed setting, with no central authority and only local information exchanges between users. ...
A Method for Distributed Spectral Profiling In Section 3 we have demonstrated the benefits of spectral profiling. ...
arXiv:1109.3318v2
fatcat:z2rjuql32nawjczjzhxkucmpqa
Distributed user profiling via spectral methods
2010
Proceedings of the ACM SIGMETRICS international conference on Measurement and modeling of computer systems - SIGMETRICS '10
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We compute a profile vector for each user (i.e., a lowdimensional vector that characterises her taste) via spectral transformation of observed user-produced ratings for items. ...
(ii) We develop distributed algorithms which provably achieve an embedding of users into a low-dimensional space, based on spectral transformation. ...
None of these approaches are distributed however. Our contribution consists precisely in augmenting these methods to make them distributed.
A method for distributed spectral profiling. ...
doi:10.1145/1811039.1811098
dblp:conf/sigmetrics/TomozeiM10
fatcat:zgoq7zv7wvblrlj3zqj72mzfpm
Distributed user Profiling via Spectral Methods
2014
Stochastic Systems
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We compute a profile vector for each user (i.e., a lowdimensional vector that characterises her taste) via spectral transformation of observed user-produced ratings for items. ...
(ii) We develop distributed algorithms which provably achieve an embedding of users into a low-dimensional space, based on spectral transformation. ...
None of these approaches are distributed however. Our contribution consists precisely in augmenting these methods to make them distributed.
A method for distributed spectral profiling. ...
doi:10.1287/11-ssy036
fatcat:wiyy7jn7g5cebl23a4jhd7vbmm
Distributed user profiling via spectral methods
2014
Stochastic Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We compute a profile vector for each user (i.e., a lowdimensional vector that characterises her taste) via spectral transformation of observed user-produced ratings for items. ...
(ii) We develop distributed algorithms which provably achieve an embedding of users into a low-dimensional space, based on spectral transformation. ...
None of these approaches are distributed however. Our contribution consists precisely in augmenting these methods to make them distributed.
A method for distributed spectral profiling. ...
doi:10.1214/11-ssy036
fatcat:6i4bbvbhabei3mqya35uny3bwq
Distributed user profiling via spectral methods
2010
Performance Evaluation Review
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The file type is application/pdf.
We compute a profile vector for each user (i.e., a lowdimensional vector that characterises her taste) via spectral transformation of observed user-produced ratings for items. ...
(ii) We develop distributed algorithms which provably achieve an embedding of users into a low-dimensional space, based on spectral transformation. ...
None of these approaches are distributed however. Our contribution consists precisely in augmenting these methods to make them distributed.
A method for distributed spectral profiling. ...
doi:10.1145/1811099.1811098
fatcat:xstbwd3rzba55f7iebtgbpkqie
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective
2014
2014 IEEE International Conference on Data Mining
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Typical methods of catching this suspicious behavior use spectral techniques to spot large groups of often blatantly fraudulent (but sometimes honest) users. ...
Online popularity of a user or product (via follows, page-likes, etc.) can be monetized on the premise of higher ad click-through rates or increased sales. ...
Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on. ...
doi:10.1109/icdm.2014.36
dblp:conf/icdm/ShahBGF14
fatcat:bhplplx42nffvg3qjplqwbmtpa
Asymptotic analysis of Channel Division Multiple Access schemes for ultra-wideband systems
2008
2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications
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As a consequence, we observe that the asymptotic spectral efficiency depends only on the system load, the power delay profile, the noise variance and the pulse signal. ...
the energy of the paths, is built based on the channel power profile. ...
We validated the asymptotic equations via simulation results and verified the impact of the power delay profile on ChDMA systems. ...
doi:10.1109/spawc.2008.4641595
fatcat:wwtttbinvndojklynhtzowfvfq
Social Networking by Proxy: A Case Study of Catster, Dogster and Hamsterster
[article]
2015
arXiv
pre-print
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In order to do so, we introduce the concept of multi-profile social network, extend a previously defined spectral test of diagonality to multi-profile networks, define two new homophily measures for multi-profile ...
These online pet social networks provide a unique opportunity to study an online social network in which a single user manages multiple user profiles, i.e. one for each pet they own. ...
Both sites are linked: A single user can create pet profiles on both sites, and individual cat and dog profile pages are interlinked via a family link when they were created by the same user. hamsterster.com ...
arXiv:1501.04527v2
fatcat:ucseco5d7nhxbc736s4o4hu3sa
A Novel Signal Identification Method via Improved Random Forest in Cognitive Network
2016
International Journal of Signal Processing, Image Processing and Pattern Recognition
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First and foremost, a set of cyclic spectrum features of the received radio signal are calculated via cyclic spectral correlation analysis. ...
to identify the various modulation types of primary user signals. ...
A set of cyclic spectrum features of the received radio signal are calculated via cyclic spectral correlation analysis. ...
doi:10.14257/ijsip.2016.9.3.12
fatcat:5irvync5zvgldjhmch33y4eqne
Stingray: A Modern Python Library For Spectral Timing
[article]
2019
arXiv
pre-print
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Its modular build allows for easy extensions and incorporation of its methods into data analysis workflows and pipelines. ...
We aim for the library to be a platform for the implementation of future spectral-timing techniques. ...
The spectral shape can be input as a spectral power-law index, astropy.modeling.models objects, as well as a user-given array of powers. ...
arXiv:1901.07681v1
fatcat:xdqxzulg2bgqpo5uu3js7c2uxu
stingray: A modern Python library for spectral timing
2019
Journal of Open Source Software
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Its modular build allows for easy extensions and incorporation of its methods into data analysis workflows and pipelines. ...
We aim for the library to be a platform for the implementation of future spectral-timing techniques. ...
The spectral shape can be input as a spectral power-law index, astropy.modeling.models objects, as well as a user-given array of powers. ...
doi:10.21105/joss.01393
fatcat:e7mywjsoevfq5eu5botjtag5ha
Stingray: A Modern Python Library for Spectral Timing
2019
Astrophysical Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Its modular build allows for easy extensions and incorporation of its methods into data analysis workflows and pipelines. ...
We aim for the library to be a platform for the implementation of future spectral-timing techniques. ...
The spectral shape can be input as a spectral power-law index, astropy.modeling.models objects, as well as a user-given array of powers. ...
doi:10.3847/1538-4357/ab258d
fatcat:wlnzmemi2zhg7prmi3s3nhhxni
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective
[article]
2014
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Typical methods of catching this suspicious behavior use spectral techniques to spot large groups of often blatantly fraudulent (but sometimes honest) users. ...
Online popularity of a user or product (via follows, page-likes, etc.) can be monetized on the premise of higher ad click-through rates or increased sales. ...
The distribution of singular values can be seen in Figure 3b . Our analysis is conducted both directly and via synthetic attacks.
B. ...
arXiv:1410.3915v1
fatcat:iz2lld5hrragvdmurbo2udrxqa
VoigtFit: A Python package for Voigt profile fitting
[article]
2018
arXiv
pre-print
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The file type is application/pdf.
I present a Python package developed for fitting Voigt profiles to absorption lines. ...
Moreover, the code is able to automatically fit a polynomial continuum model together with the line profiles. ...
The user can specify any of the other vector minimization methods implemented in lmfit via the input parameter file (e.g., fit-options method='nelder' to use 'Nelder-Mead' minimization). ...
arXiv:1803.01187v1
fatcat:qmeqsqtiyjhyde4i3p7kurdgd4
BioSunMS: a plug-in-based software for the management of patients information and the analysis of peptide profiles from mass spectrometry
2009
BMC Medical Informatics and Decision Making
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The software is freely distributed under GNU General Public License (GPL) and can be downloaded from http://sourceforge.net/projects/ biosunms/. ...
By integrating all functions into a user-friendly desktop application, BioSunMS provided a comprehensive solution for clinical researchers without any knowledge in programming, as well as a plug-in architecture ...
This class provides some methods for executing R scripts and commands. All communication with R language takes place via the file system. ...
doi:10.1186/1472-6947-9-13
pmid:19220920
pmcid:PMC2654546
fatcat:hgj2jvh36rfq7c5fhw34sw6nyi
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