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Random Matrix Methods For Machine Learning
- Editore:
Cambridge University Press
- EAN:
9781009123235
- ISBN:
1009123238
- Pagine:
- 450
- Formato:
- Hardback
- Lingua:
- Inglese
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Descrizione Random Matrix Methods For Machine Learning
"Numerous and large dimensional data is now a default setting in modern machine learning (ML). Standard ML algorithms, starting with kernel methods such as support vector machines and graph-based methods like the PageRank algorithm, were however initially designed out of small dimensional intuitions and tend to misbehave, if not completely collapse, when dealing with real-world large datasets. Random matrix theory has recently developed a broad spectrum of tools to help understand this new curse of dimensionality, to help repair or completely recreate the sub-optimal algorithms, and most importantly to provide new intuitions to deal with modern data mining"--
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