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Gaussian processes for machine learning
Material type:
TextLanguage: English Series: Adaptive computation and machine learning / edited by Thomas DietterichPublication details: MIT Press 2006 CambridgeDescription: xviii,248pISBN: - 026218253X
- 519.23 R184g
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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PK Kelkar Library, IIT Kanpur | General Stacks | 519.23 R184g (Browse shelf(Opens below)) | Checked out to ARGHYA MUKHERJEE (S2120826100) | 09/07/2025 | A155270 |
Total holds: 0
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| 519.23 Os1a An introduction to game theory | 519.23 P282s Stochastic processes | 519.23 P661l Long-range dependence and self-similarity | 519.23 R184g Gaussian processes for machine learning | 519.23 R18S STOCHASTIC PROCESSES | 519.23 R248g Guide to first-passage processes | 519.23 S563s Stochastic dynamics of complex systems |
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