Kreĭn twin support vector machines for imbalanced data classification
C Jimenez-Castaño, A Álvarez-Meza… - Pattern Recognition …, 2024 - Elsevier
Conventional classification assumes a balanced sample distribution among classes.
However, such a premise leads to biased performance over the majority class (with the …
However, such a premise leads to biased performance over the majority class (with the …
[图书][B] Topological Approaches for Quantifying the Shape of Time Series Data
S Tymochko - 2022 - search.proquest.com
Topological data analysis (TDA) is field that started only two decades ago and has already
shown promise both in theory and in applications. The goal of TDA is to quantify the shape …
shown promise both in theory and in applications. The goal of TDA is to quantify the shape …
Imbalanced Classification Krein Spaces Kernel Methods Support Vector Machines
CA Jimenez Castaño, AM Álvarez Meza… - David Augusto and …, 2023 - papers.ssrn.com
Conventional classification assumes that the sample distribution among classes is
balanced. However, such a premise leads to biased performance over the majority class …
balanced. However, such a premise leads to biased performance over the majority class …