Zobrazeno 1 - 10 of 152 pro vyhledávání: '"Van Someren, M."'
1
Challenge Balancing for a Kanji E-Tutoring System
Autor: Winkels, M., Roijers, D.M., van Someren, M., Yamamoto, E., Pronk, R., Odijk, E., de Jonge, M., Atzmueller, M., Duivesteijn, W.
Publikováno v: ARTIFICIAL INTELLIGENCE: 30th Benelux Conference, BNAIC 2018, Den Bosch November 8-9 2018, Revised Selected Papers, 331-340
STARTPAGE=331;ENDPAGE=340;TITLE=ARTIFICIAL INTELLIGENCE
30th Benelux Conference on Artificial Intelligence: BNAIC 2018 Preproceedings : November 8-9, 2018, Jheronimus Academy of Data Science (JADS), 's-Hertogenbosch, The Netherlands, 331-340
STARTPAGE=331;ENDPAGE=340;TITLE=30th Benelux Conference on Artificial Intelligence
In this paper, we investigate the potential of direct challenge balancing in e-tutoring, especially in domains where there are many skills to acquire. As a case study, we create an e-tutoring system for kanji. Our system estimates the perceived chall
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bf4cece2cee1d802aeae8bd3ea7cda00
https://research.vu.nl/en/publications/a4671ff6-0b13-46d9-9829-5ea4c318dcef
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2
Naar een nieuw curriculum voor de bachelor Kunstmatige Intelligentie
Autor: Visser, A., De Jong, R., Beks, W., Schlobach, S., van Rooij, R., Homburg, A.-J., van Someren, M., van Maanen, L., Sluijter, B.
Dit document bevat een voorstel voor een nieuw curriculum voor de bachelor Kunstmatige Intelligentie (KI); een vakgebied dat zich op het ogenblik snel ontwikkelt. Afgestudeerden van deze opleiding moeten zich zeker bewust zijn van deze ontwikkelingen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::01da9ef9667774872542557ea92a696e
https://dare.uva.nl/personal/pure/en/publications/naar-een-nieuw-curriculum-voor-de-bachelor-kunstmatige-intelligentie(685be6f3-4149-477a-a2f4-d03e47e81e62).html
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4
TERESA: A Socially Intelligent Semi-autonomous Telepresence System
Autor: Shiarlis, K., Messias, J., van Someren, M., Whiteson, S., Kim, J., Vroon, J., Englebienne, G., Truong, K., Evers, V., Pérez-Higueras, N., Pérez-Hurtado, I., Ramon-Vigo, R., Caballero, F., Merino, L., Shen, J., Petridis, S., Pantic, M., Hedman, L., Scherlund, M., Koster, R., Michel, H.
Publikováno v: Workshop on Machine Learning for Social Robotics at ICRA-15
TERESA is a socially intelligent semi-autonomous telepresence system that is currently being developed as part of an FP7-STREP project funded by the European Union. The ultimate goal of the project is to deploy this system in an elderly day centre to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::c5a96981bede60b0d9290d200a848286
https://dare.uva.nl/personal/pure/en/publications/teresa-a-socially-intelligent-semiautonomous-telepresence-system(d270d584-15e4-465a-9bd2-0993e8fe42cf).html
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5
A machine-learning approach to coding book reviews as quality indicators: Toward a theory of megacitation
Autor: Zuccala, A., van Someren, M., van Bellen, M.
Publikováno v: Journal of the Association for Information Science and Technology, 65(11), 2248-2260. John Wiley and Sons Ltd
A theory of “megacitation” is introduced and used in an experiment to demonstrate how a qualitative scholarly book review can be converted into a weighted bibliometric indicator. We employ a manual human-coding approach to classify book reviews i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::51e251d9e5516e5d23431495e09f23c3
https://dare.uva.nl/personal/pure/en/publications/a-machinelearning-approach-to-coding-book-reviews-as-quality-indicators-toward-a-theory-of-megacitation(1387ddf7-fe28-4413-9fc3-73e13b9cdde6).html
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6
Determinants of discovery learning in a complex simulation learning environment
Autor: de Jong, T., Beishuizen, J.J., Hulshof, C.D., Prins, F, van Rijn, H, van Someren, M, Veenman, M, Wilhelm, P., Gardenfors, P., Johansson, P.
Publikováno v: Cognition, Education, and Communication Technology, 257-284
STARTPAGE=257;ENDPAGE=284;TITLE=Cognition, Education, and Communication Technology
Cognition, Education, and Communication Technology, 257-283
STARTPAGE=257;ENDPAGE=283;TITLE=Cognition, Education, and Communication Technology
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::015dcd8ce40e6da7f01ade6a37f88239
https://research.utwente.nl/en/publications/c4099fa1-8f3c-46b9-9f3a-f86d078caed7
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7
A Comparison Between Alignment and Integral Based Kernels for Vessel Trajectories
Autor: de Vries, G.K.D., van Someren, M.
In this paper we present a comparison between two important types of similarity measures for moving object trajectories for machine learning from vessel movement data. These similarities are compared in the tasks of clustering, classication and outli
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::d5245355af48ca9b3492d2f1789c2486
https://dare.uva.nl/personal/pure/en/publications/a-comparison-between-alignment-and-integral-based-kernels-for-vessel-trajectories(515744e5-67e1-4e76-a6ea-6524930abbbe).html
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8
Multiclass Semi-Supervised Boosting and Similarity Learning
Autor: Tanha, J., Saberian, M.J., van Someren, M., Xiong, H., Karypis, G., Thuraisingham, B., Cook, D., Wu, X.
Publikováno v: IEEE 13th International Conference on Data Mining: ICDM 2013: 7-10 December 2013, Dallas, Texas: proceedings, 1205-1210
STARTPAGE=1205;ENDPAGE=1210;TITLE=IEEE 13th International Conference on Data Mining: ICDM 2013: 7-10 December 2013, Dallas, Texas: proceedings
ICDM
In this paper, we consider the multiclass semi-supervised classification problem. A boosting algorithm is proposed to solve the multiclass problem directly. The proposed multiclass approach uses a new multiclass loss function, which includes two term
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a546d09449985a96013902dfde608161
https://doi.org/10.1109/ICDM.2013.108
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9
Recognizing Vessel Movements from Historical Data
Autor: de Vries, G., van Someren, M., van de Laar, P., Tretmans, J., Borth, M.
Publikováno v: Situation Awareness with Systems of Systems ISBN: 9781461462293
Situation Awareness with Systems of Systems
Situation awareness with systems of systems, 105-118
STARTPAGE=105;ENDPAGE=118;TITLE=Situation awareness with systems of systems
How can movements of vessels at sea be recognized and be related to features of vessels? In this study we focus on data from AIS (Automatic Identification System) and we use historical AIS data as the basis for recognition and we extend this with pri
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37436da7ea54b7ac1e1ac854564bd508
https://dare.uva.nl/personal/pure/en/publications/recognizing-vessel-movements-from-historical-data(b448afae-17c3-4832-85a8-eeb871d3f786).html
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10
An AdaBoost algorithm for multiclass semi-supervised learning
Autor: Tanha, J., van Someren, M., Afsarmanesh, H., Zaki, M.J., Siebes, A., Yu, J.X., Goethals, B., Webb, G., Wu, X.
Publikováno v: 12th IEEE International Conference on Data Mining: ICDM 2012, 10-13 December 2012, Brussels, Belgium: proceedings, 1116-1121
STARTPAGE=1116;ENDPAGE=1121;TITLE=12th IEEE International Conference on Data Mining: ICDM 2012, 10-13 December 2012, Brussels, Belgium: proceedings
ICDM
We present an algorithm for multiclass Semi-Supervised learning which is learning from a limited amount of labeled data and plenty of unlabeled data. Existing semi-supervised algorithms use approaches such as one-versus-all to convert the multiclass
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cee4d45683adfc1c148bde339555efb6
https://dare.uva.nl/personal/pure/en/publications/an-adaboost-algorithm-for-multiclass-semisupervised-learning(86df7a8d-75ed-4dfa-9d75-c5b025e504c2).html
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