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Enrichment of Learner Profile with Ubiquitous User Model Interoperability

María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza, Ignacio Danvila Del Valle
2014 Journal of Computacion y Sistemas  
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

María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza, Ignacio Danvila Del Valle
2014 Journal of Computacion y Sistemas  
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

María de Lourdes Martínez-Villaseñor, Miguel González-Mendoza, Ignacio Danvila Del Valle
2014 Journal of Computacion y Sistemas  
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

Tao Li, Shenghuo Zhu, Qi Li, Mitsunori Ogihara
2003 Proceedings of the 2003 ACM symposium on Applied computing - SAC '03  
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

Tao Li, Shenghuo Zhu, Qi Li, Mitsunori Ogihara
2003 Proceedings of the 2003 ACM symposium on Applied computing - SAC '03  
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

Dongjie Zhu, Yuhua Wang, Chuiju You, Jinming Qiu, Ning Cao, Chenjing Gong, Guohua Yang, Helen Min Zhou
2019 Computers Materials & Continua  
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

Khaoula Mrhar, Otmane Douimi, Mounia Abik, Naoual Chaouni Benabdellah
2020 IAES International Journal of Artificial Intelligence (IJ-AI)  
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

Kevin Keenoy, Alexandra Poulovassilis, Vassilis Christophides, George Loizou, Giorgos Kokkinidis, George Samaras, Nicolas Spyratos
2004 SIGMOD record  
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

Yi Liu, Nan Qiao, Shanshan Zhu, Ming Su, Na Sun, Jerome Boyd-Kirkup, Jing-Dong J Han
2013 Cell Research  
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

J.-G. Joung, K.-B. Hwang, J.-W. Nam, S.-J. Kim, B.-T. Zhang
2007 Bioinformatics  
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

Polina Lemenkova
2021 Zenodo  
: 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

Thomas Lee, Melanie Chams, Robert Nado, Michael Siegel, Stuart Madnick
1999 Proceedings of the eighth international conference on Information and knowledge management - CIKM '99  
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

Jingjing Wang, Shoushan Li, Mingqi Jiang, Hanqian Wu, Guodong Zhou
2018 International Conference on Computational Linguistics  
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

Suleyman Cetintas, Monica Rogati, Luo Si, Yi Fang
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
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

Mohammad H. Rohban, Hamdah S. Abbasi, Shantanu Singh, Anne E. Carpenter
2019 Nature Communications  
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
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