Titlebook: Mathematical Modeling and Supercomputer Technologies; 20th International C Dmitry Balandin,Konstantin Barkalov,Iosif Meyerov Conference pro

ABOUT

冰河期

Evgeny Semenov,Vladimir Zapevalov,Andrey Zuev additional trial objective for a sufficiently large point estimate, we propose an alternative futility analysis design approach where futility boundaries are selected based on the probability of observing a sufficiently large point estimate of treatment effect. We denote such probability as “probab

cavity

BAN

Kernel

新鮮

Sergei Sidorov,Sergei Mironov,Alexey Faizliev,Alexey Grigorieve propose a boundary point detection algorithm, CENTROID-B, based on the concept of kNN-based centroid which has low dependence on parameters, high precision and can detect outliers at the same time. The experimental results on different types of data sets show that the proposed boundary point detec

Morsel

MAOIS

Evgeniy V. Evstifeev,Olga I. Moskalenkohe local outliers. Last but not the least, most outlier detection algorithms do not accurately distinguish between boundary points and outliers. To partially solve these problems, it is realized that the outlier detection problem is related to the clustering problem by complementarity. According to

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共同確定為確

iterature which has devoted itself to precisely this point.. This work is of interest because of the new light it has shed on the combined structural and strategic origin of market power; that is, on the hoary question of the persistence and profitability of dominant firms (compare Posner, 1972, p.