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.
Filters
Enrichment of Learner Profile with Ubiquitous User Model Interoperability
2014
Journal of Computacion y Sistemas
Preserved Fulltext
In this paper we present an application scenario of sharing and reusing information scattered in most commonly used applications to enhance learner profiles. Keywords. ...
The design and development of training and educational systems that enable effective personalized learning help obtaining changing skills and fill competence gaps. ...
We discuss how to take advantage of profile information from distributed heterogeneous sources to enrich learner information of adaptive educational systems. ...
doi:10.13053/cys-18-2-2014-037
fatcat:bzrrhutygfgh5no3xagoueiyhe
Enrichment of Learner Profile with Ubiquitous User Model Interoperability
2014
Journal of Computacion y Sistemas
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.
In this paper we present an application scenario of sharing and reusing information scattered in most commonly used applications to enhance learner profiles. Keywords. ...
The design and development of training and educational systems that enable effective personalized learning help obtaining changing skills and fill competence gaps. ...
We discuss how to take advantage of profile information from distributed heterogeneous sources to enrich learner information of adaptive educational systems. ...
doi:10.13053/cys-18-1-2014-037
fatcat:y7hs7u7gvbb53ezmdeyrphqne4
Enrichment of Learner Profile with Ubiquitous User Model Interoperability
2014
Journal of Computacion y Sistemas
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.
In this paper we present an application scenario of sharing and reusing information scattered in most commonly used applications to enhance learner profiles. Keywords. ...
The design and development of training and educational systems that enable effective personalized learning help obtaining changing skills and fill competence gaps. ...
We discuss how to take advantage of profile information from distributed heterogeneous sources to enrich learner information of adaptive educational systems. ...
doi:10.13053/cys-18-2-1925
fatcat:g5ulcksshzawtfhvr5izbvpvfq
Gene functional classification by semi-supervised learning from heterogeneous data
2003
Proceedings of the 2003 ACM symposium on Applied computing - SAC '03
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 2003; you can also visit the original URL.
The file type is application/pdf.
The semisupervised learning approach aims at minimizing the disagreement between individual models built from each separate information source by employing a co-updating method and making use of both labeled ...
In this paper, we investigate the use of a semi-supervised learning algorithm for inferring gene functional classifications from heterogeneous data set consisting of DNA microarray expression measurements ...
With information from heterogeneous sources, these hold-out samples could also be used for training by viewing them as unlabeled data, i.e., with no category information. ...
doi:10.1145/952532.952552
dblp:conf/sac/LiZLO03
fatcat:h7mxv6edsrgptlcudtyz2eq35q
Gene functional classification by semi-supervised learning from heterogeneous data
2003
Proceedings of the 2003 ACM symposium on Applied computing - SAC '03
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 2003; you can also visit the original URL.
The file type is application/pdf.
The semisupervised learning approach aims at minimizing the disagreement between individual models built from each separate information source by employing a co-updating method and making use of both labeled ...
In this paper, we investigate the use of a semi-supervised learning algorithm for inferring gene functional classifications from heterogeneous data set consisting of DNA microarray expression measurements ...
With information from heterogeneous sources, these hold-out samples could also be used for training by viewing them as unlabeled data, i.e., with no category information. ...
doi:10.1145/952548.952552
fatcat:u7nlyhwyj5gydalgo5i4w5lo7m
MMLUP: Multi-source & Multi-task Learning for User Profiles in Social Network
2019
Computers Materials & Continua
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.
In this paper, we propose Multi-source & Multi-task Learning for User Profiles in Social Network which integrates multiple social data sources and contains a multi-task learning framework to simultaneously ...
Secondly, we design a shared layer to fuse multiple heterogeneous data sources as general shared representation for multi-task learning. ...
In this paper, we propose a user profiles model called "Multi-source & Multi-task Learning for User Profiles in Social Network" (MMLUP). ...
doi:10.32604/cmc.2019.06041
fatcat:bxrf3ttjivcajdtk5fwi536jn4
Towards a semantic integration of data from learning platforms
2020
IAES International Journal of Artificial Intelligence (IJ-AI)
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.
It allows us to extract, map and integrate data from heterogeneous learning platforms "MOOCs platforms, elearning platforms" by solving all semantic conflicts existing between these sources. ...
between the formal and non-formal system; secondly, they are incapable to exploit the feedbacks of the learners in a non-formal learning to personalize the learning according to the learner's profile. ...
from heterogeneous, distributed and autonomous sources. ...
doi:10.11591/ijai.v9.i3.pp535-544
fatcat:akrcibefj5czhjpiphzsncdyma
Report on the workshop on metadata management in grid and peer-to-peer systems, London, December 16 2003
2004
SIGMOD record
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 2005; you can also visit the original URL.
The file type is application/pdf.
The goal of the workshop was to identify recent technological achievements and open challenges regarding metadata management in novel applications requiring peer-to-peer information management in a distributed ...
The target audience for this event were researchers from the Grid, peer-to-peer and e-learning communities, as well as other application areas requiring Grid and/or peer-to-peer support. ...
Challenges stemming from the distribution, autonomy and heterogeneity of information and services, including the need for: metadata describing information and services available at the nodes of a Grid/ ...
doi:10.1145/1031570.1031592
fatcat:ygojpv3jsnhyporwxu7in77ioq
A novel Bayesian network inference algorithm for integrative analysis of heterogeneous deep sequencing data
2013
Cell Research
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.
for inferring a regulatory network from NGS data sets, and allowed for the first time seamless integration of heterogeneous data types from different sources. ...
First, we proposed a new kernel function for sequence tag distributions (termed the "L1 reciprocal partial sums" (L1-RPS) kernel, see Supplementary information, Methods) to enable BN learning from tag ...
doi:10.1038/cr.2013.8
pmid:23318583
pmcid:PMC3587713
fatcat:2foetppfe5g5pfib3arplqaiaa
Discovery of microRNA mRNA modules via population-based probabilistic learning
2007
Bioinformatics
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.
Here, we propose a probabilistic learning method to identify synergistic miRNAs involving regulation of their condition-specific target genes (mRNAs) from multiple information sources, i.e. computationally ...
Results: We used data sets consisting of miRNA-target gene binding information and expression profiles of miRNAs and mRNAs on human cancer samples. ...
Figure 1 illustrates our method of extracting coherent miRNA-mRNA modules from heterogeneous information sources. ...
doi:10.1093/bioinformatics/btm045
pmid:17350973
fatcat:mr2qgwyvmnafrnt6k4truydny4
Accurate and rapid big spatial data processing by scripting cartographic algorithms: advanced seafloor mapping of the deep-sea trenches along the margins of the Pacific Ocean
2021
Zenodo
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 2021; you can also visit the original URL.
The file type is application/pdf.
: Extracting knowledge and information from big Earth data requires special technical tools => need for Machine Learning (ML) algorithms and approaches to data handling [16] Paradigm: ML is a method ...
various geospatial applications [3] , [25] Coverage: Big Earth data provide information on spatial events across local, regional, and global scales Machine Learning for Processing big Earth data Problem ...
doi:10.5281/zenodo.4785392
fatcat:efx3s47tebgrbfkcp5gtb7thqi
Information integration with attribution support for corporate profiles
1999
Proceedings of the eighth international conference on Information and knowledge management - CIKM '99
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 2016; you can also visit the original URL.
The file type is application/pdf.
with and integrate multiple heterogeneous sources. ...
This paper presents CI', a corporate information integrator, which applies XML as a tool to facilitate data mediation and integration amongst heterogeneous sources in the context of financial analysts ...
Mediation technologies integrate disparate information sources, hiding distribution and reconciling heterogeneity. ...
doi:10.1145/319950.323232
dblp:conf/cikm/LeeCNSM99
fatcat:dewefs76qfdfffj3v6mw7352ri
Cross-media User Profiling with Joint Textual and Social User Embedding
2018
International Conference on Computational Linguistics
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 2022; you can also visit the original URL.
The file type is application/pdf.
Then, we learn user embedding by jointly learning the heterogeneous network composed of above two networks. ...
In this paper, we address cross-media user profiling by bridging the knowledge between the source and target media with a uniform user embedding learning approach. ...
Acknowledgments We thank anonymous reviewers for their valuable suggestions and comments. ...
dblp:conf/coling/WangLJWZ18
fatcat:dyynzgpodbgo7hhcs7odi53f2i
Identifying similar people in professional social networks with discriminative probabilistic models
2011
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11
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.
Information about users can be obtained from heterogeneous information sources, and different sources provide different insights on user similarity. ...
This paper proposes a discriminative probabilistic model that identifies latent content and graph classes for people with similar profile content and social graph similarity patterns, and learns a specialized ...
used information from heterogeneous sources, but did not differentiate the information from these sources in a principled way (e.g., [4] ). ...
doi:10.1145/2009916.2010123
dblp:conf/sigir/CetintasRSF11
fatcat:xtk7zzcmuzdbvb2hyvdnactxli
Capturing single-cell heterogeneity via data fusion improves image-based profiling
2019
Nature Communications
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.
Single-cell resolution technologies warrant computational methods that capture cell heterogeneity while allowing efficient comparisons of populations. ...
Here, we summarize cell populations by adding features' dispersion and covariances to population averages, in the context of image-based profiling. ...
Acknowledgements The authors gratefully acknowledge contributions from members of the Carpenter laboratory, Ted Natoli, Lev Litichevskiy, Rajiv Narayan, and Karthik Shekhar for their helpful feedback. ...
doi:10.1038/s41467-019-10154-8
pmid:31064985
pmcid:PMC6504923
fatcat:p2mw46hzjrarlaztf4p4dphdvy
« Previous
Showing results 1 — 15 out of 131,493 results