Zobrazeno 1 - 10
of 25
pro vyhledávání: '"S.A. Prokhorov"'
Publikováno v:
Computers in Human Behavior. 75:81-91
Collaborative learning is a promising avenue in education research. Learning from others and with others can foster deeper learning at a multiple-choice assignment, but it is hard to control the level of students' pure guessing. This paper addresses
Autor:
S.A. Prokhorov, Ilona M. Kulikovskikh
Publikováno v:
Procedia Engineering. 201:779-788
The problem of complete separation between classes may produce serious difficulties with the successful implementation of logistic regression due to the presence of floor and ceiling effects. To address this problem, the present study proposes two mo
Autor:
Ilona M. Kulikovskikh, S.A. Prokhorov
Publikováno v:
Международный журнал "Программные продукты и системы". 36:99-101
Publikováno v:
PLoS ONE
PLoS ONE, Vol 14, Iss 7, p e0219004 (2019)
PLoS ONE, Vol 14, Iss 7, p e0219004 (2019)
Recent research in machine learning pointed to the core problem of state-of-the-art models which impedes their widespread adoption in different domains. The models' inability to differentiate between noise and subtle, yet significant variation in dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38bf1c8959aea2d7d2f6d59a4557aef6
https://doi.org/10.1371/journal.pone.0219004
https://doi.org/10.1371/journal.pone.0219004
Autor:
Ilona M. Kulikovskikh, S.A. Prokhorov
Publikováno v:
Signal Processing. 120:8-12
This paper is motivated by previous research that demonstrates the importance of the explicit solution to the pole position problem. The main purpose of this paper is to solve the two-parameter pole position problem for the Meixner filters with an ex
Publikováno v:
Journal of Physics: Conference Series. 1368:052008
The paper considers the problem of accelerating the convergence of stochastic gradient descent (SGD) in an automatic way. Previous research puts forward such algorithms as Adagrad, Adadelta, RMSprop, Adam and etc. to adapt both the updates and learni
Autor:
S.A. Prokhorov, I.M. Kulikovskikh
Publikováno v:
Международный журнал "Программные продукты и системы". 38:113-118
Carrying out a scientific research in different areas requires huge amounts of computing power. Moreo-ver, computationally demanding tasks are assumed to have access to powerful servers and computing clusters and are expected to support handling big
Autor:
S.A. Prokhorov, Ilona M. Kulikovskikh
Publikováno v:
Signal Processing. 108:25-29
Previous research indicates that solution to pole optimization problem for the generalized Laguerre functions can be found by vanishing at least one of two clearly stated Laguerre coefficients. The aim of this paper is to prove uniqueness of a certai
Psychological perspectives on implicit regularization: A model of retrieval-induced forgetting (RIF)
Autor:
S.A. Prokhorov, Ilona M. Kulikovskikh
Publikováno v:
Journal of Physics: Conference Series. 1096:012079
Autor:
Ilona M. Kulikovskikh, S.A. Prokhorov
Publikováno v:
2015 7th Computer Science and Electronic Engineering Conference (CEEC).
The paper delves into decision making with partial knowledge focused on students' behaviour in multiple-choice testing. To address to this problem, we first provided a binary knowledge model and, then, relaxing some assumptions, allowed for the more