0458062 20240111140917.620160415235959.9 84964523737 10 s. E cav_un_epca*04586831613-007324-33AchenSun SITE Central Europe2016AgostaJ. M.CarvalhoR. N. Bayesian networks Computerized adaptive testing cav_un_auth*0329423 Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory Plajner Martin UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101228 Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory Vomlel Jiří UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. elektronický sborník http://library.utia.cas.cz/separaty/2016/MTR/plajner-0458062.pdf cav_un_auth*0292670 GA13-20012S GA ČR Computerized adaptive testing (CAT) is an interesting and promising approach to testing human abilities. In our research we use Bayesian networks to create a model of tested humans. We collected data from paper tests performed with grammar school students. In this article we first provide the summary of data used for our experiments. We propose several different Bayesian networks, which we tested and compared by cross-validation. Interesting results were obtained and are discussed in the paper. The analysis has brought a clearer view on the model selection problem. Future research is outlined in the concluding part of the paper. cav_un_auth*0329424 The Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) 16.07.2015 Amsterdam NL JD 2017 PR RVO:67985556 http://hdl.handle.net/11104/0258931 S 0.186 Q3 2016 84964523737 SCOPUS elektronický sborník cav_un_epca*0458683 Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015) 1613-0073 24 33 Achen Sun SITE Central Europe 2016 CEUR Workshop Proceedings Vol 1565 Agosta J. M. 340 Carvalho R. N. 340