Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Volk, Ohad"'
Autor:
Hay, Guy, Volk, Ohad
High-dimensional imbalanced data poses a machine learning challenge. In the absence of sufficient or high-quality labels, unsupervised feature selection methods are crucial for the success of subsequent algorithms. Therefore, we introduce a Marginal
Externí odkaz:
http://arxiv.org/abs/2311.17795
Autor:
Volk, Ohad, Singer, Gonen
We design a new adaptive learning algorithm for misclassification cost problems that attempt to reduce the cost of misclassified instances derived from the consequences of various errors. Our algorithm (adaptive cost sensitive learning - AdaCSL) adap
Externí odkaz:
http://arxiv.org/abs/2111.07382
Autor:
Volk, Ohad, Singer, Gonen
Publikováno v:
In Intelligent Systems with Applications March 2024 21
Publikováno v:
In Biomedical Signal Processing and Control August 2023 85