Book
CAUSALITY OF MACHINE LEARNING
| Identifier | --bernhardsc-1663 |
|---|---|
| Penulis / Pengarang | Bernhard Scholkopf |
| Kata Kunci | causality |
| Tanggal Publikasi | 23 Des 2019 |
| Bahasa | Bahasa Inggris |
| Abstrak / Deskripsi | Graphical causal inference as pioneered by Judea Pearl arose from research on artiï¬Âcial intelligence (AI), and for a long time had little connection to the ï¬Âeld of machine learning. This article discusses where links have been and should be established, introducing key concepts along the way. It argues that the hard open problems of machine learning and AI are intrinsically related to causality, and explains how the ï¬Âeld is beginning to understand them. |
File Lampiran / Download (1)
| No | Nama Berkas | Format | Ukuran | Aksi |
|---|---|---|---|---|
| 1 | 1911.10500.pdf | application/pdf | 1,3 MB | ⬇️ Buka / Download |
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