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Assessing the Usability of Predictions of Different Regression Models
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SYSNO ASEP 0348393 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Assessing the Usability of Predictions of Different Regression Models Tvůrce(i) Šťastný, J. (CZ)
Holeňa, Martin (UIVT-O) SAI, RIDZdroj.dok. Informačné Technológie - Aplikácie a Teória. - Seňa : Pont, 2010 / Pardubská D. - ISBN 978-80-970179-3-4 Rozsah stran s. 93-98 Poč.str. 6 s. Akce ITAT 2010. Conference on Theory and Practice of Information Technologies Datum konání 21.09.2010-25.09.2010 Místo konání Smrekovica Země SK - Slovensko Typ akce EUR Jazyk dok. eng - angličtina Země vyd. SK - Slovensko Klíč. slova regression models ; confidence of predictions ; confidence intervals ; transductive inference ; sensitivity analysis Vědní obor RIV IN - Informatika CEP GA201/08/0802 GA ČR - Grantová agentura ČR CEZ AV0Z10300504 - UIVT-O (2005-2011) Anotace Two kinds of methods for assessing reliability of regression models are analysed. The first kind consists in obtaining confidence intervals using either statistical methods (frequentist, Bayesian) or transductive inference. The second kind are heuristic methods, designed so that they correlate with prediction error. Both methods are compared on four kinds of parametric regression models using real-world data. This is a work in progress, that is why transductive inference has not been implemented yet, only one dataset has been used, and the comparison has been implemented for two kinds of regression models, so far: multilayer perceptron and support-vector regression. For them, the variability of results obtained by heuristics methods with respect to different models is illustrated, as well as the correlation between the confidence intervals and the heuristic methods. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2011
Počet záznamů: 1