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Multi-Kernel Learning for Heterogeneous Data

Multi-kernel learning is an excellent machine learning algorithm widely used in various learning tasks such as classification and regression. Traditional kernel methods mainly focus on numerical data and lack sufficient research on categorical and mixed data. However, mixed data is widely used in pr...

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Uloženo v:
Hlavní autoři: Chunlan Liao, Shili Peng
Médium: Artigo
Jazyk:Inglês
Vydáno: IEEE 2025-01-01
Edice:IEEE Access
Témata:
Multi-kernel learning
support vector machine
categorical data
mixed data
kernel methods
On-line přístup:https://ieeexplore.ieee.org/document/10843185/
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