Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Stanislav Kirpichenko"'
Publikováno v:
Algorithms, Vol 17, Iss 1, p 40 (2024)
A method for estimating the conditional average treatment effect under the condition of censored time-to-event data, called BENK (the Beran Estimator with Neural Kernels), is proposed. The main idea behind the method is to apply the Beran estimator f
Externí odkaz:
https://doaj.org/article/2f1590916a6642a9a2a03d121d378503
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 31, Iss 1, Pp 96-101 (2022)
A new attention-based model for the gradient boost- ing machine (GBM) called AGBoost (the attention-based gradient boosting) is proposed for solving regression problems. The main idea behind the proposed AGBoost model is to assign attention weights w
Externí odkaz:
https://doaj.org/article/19f15dce93354514afd533133134781e
Publikováno v:
Algorithms, Vol 16, Iss 5, p 226 (2023)
A new method for estimating the conditional average treatment effect is proposed in this paper. It is called TNW-CATE (the Trainable Nadaraya–Watson regression for CATE) and based on the assumption that the number of controls is rather large and th
Externí odkaz:
https://doaj.org/article/431028024daa43a192c0acee0cc7f70b