Bootstrap in gaussian mixture models and performance assessment

Kaygusuz, Mehmet Ali
Göğebakan, Maruf
Akoğul, Serkan
Purutçuoğlu Gazi, Vilda
6th International Conference on Mathematics (ICOMATH 2022)


Bootstrap and cross-validation methods in graphical lasso algorithm
Kaygusuz, Mehmet Ali; Purutçuoğlu Gazi, Vilda (2021-09-24)
Bootstrapping and the problem of testing quantitative theoretical hypotheses
Grünberg, David (1998-08-16)
Two alternative solutions to the problem of computing the values of theoretical quantities and of testing theoretical hypotheses are Sneed's structuralist eliminationism and Glymour's bootstrapping, Sneed attempts to solve the problem by eliminating theoretical quantities by means of the so-called Ramsey-Sneed sentence that represents the global empirical claim of the given theory. Glymour proposes to solve the problem by deducing the values of the theoretical quantities from the hypothesis to be tested. In...
Bootstrapping shared vocabulary in a population - weighted lists with probabilistic choice
Eryılmaz, Kerem; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2011)
Works on semiotic dynamics and language as a complex adaptive system in general has been an important lane of research over the last decade. In this study, the mean-field naming game model developed in the course of the pioneering research programme of Luc Steels and colleagues is modified to include probabilistic word choice based on weighted lists of words, instead of either deterministic or totally random word choice based on (ordered) sets of words. The parameters’ interaction and this interaction’s eff...
Bootstrap-based Model Selection Criteria in Biological Networks
Kaygusuz, Mehmet Ali; Purutçuoğlu Gazi, Vilda (null; 2019-10-26)
Spatiotemporal data mining for situation awareness in microblogs
Özdikiş, Özer; Karagöz, Pınar; Oğuztüzün, Mehmet Halit S.; Department of Computer Engineering (2016)
Detection of real-world events using messages posted in microblogs has been the motivation of numerous recent studies. In this thesis, we study spatiotemporal data mining techniques to improve situation awareness by detecting events and estimating their locations using the content in microblogs, particularly in Twitter. We present an enhancement to the clustering techniques in the literature by measuring associations between terms in tweets in a temporal context and using these associations in a vector expa...
Citation Formats
M. A. Kaygusuz, M. Göğebakan, S. Akoğul, and V. Purutçuoğlu Gazi, “Bootstrap in gaussian mixture models and performance assessment,” presented at the 6th International Conference on Mathematics (ICOMATH 2022), İstanbul, Türkiye, 2022, Accessed: 00, 2022. [Online]. Available: