Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Alamgir, Morteza"'
Autor:
Kozodoi, Nikita, Lessmann, Stefan, Alamgir, Morteza, Moreira-Matias, Luis, Papakonstantinou, Konstantinos
Scoring models support decision-making in financial institutions. Their estimation and evaluation are based on the data of previously accepted applicants with known repayment behavior. This creates sampling bias: the available labeled data offers a p
Externí odkaz:
http://arxiv.org/abs/2407.13009
Autor:
Jayaram, Vinay, Alamgir, Morteza, Altun, Yasemin, Schölkopf, Bernhard, Grosse-Wentrup, Moritz
The performance of brain-computer interfaces (BCIs) improves with the amount of available training data, the statistical distribution of this data, however, varies across subjects as well as across sessions within individual subjects, limiting the tr
Externí odkaz:
http://arxiv.org/abs/1512.00296
Peer grading is the process of students reviewing each others' work, such as homework submissions, and has lately become a popular mechanism used in massive open online courses (MOOCs). Intrigued by this idea, we used it in a course on algorithms and
Externí odkaz:
http://arxiv.org/abs/1506.00852
Autor:
Alamgir, Morteza, von Luxburg, Ulrike
Consider a weighted or unweighted k-nearest neighbor graph that has been built on n data points drawn randomly according to some density p on R^d. We study the convergence of the shortest path distance in such graphs as the sample size tends to infin
Externí odkaz:
http://arxiv.org/abs/1206.6381
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Proceedings of the Third ACM Conference Learning @ Scale; 2016, p369-378, 10p
