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Book Categories |
| 1 | Pattern analysis | 1 |
| 2 | Kernel methods : an overview | 25 |
| 3 | Properties of kernels | 47 |
| 4 | Detecting stable patterns | 85 |
| 5 | Elementary algorithms in feature space | 111 |
| 6 | Pattern analysis using eigen-decompositions | 140 |
| 7 | Pattern analysis using convex optimisation | 195 |
| 8 | Ranking, clustering and data visualisation | 252 |
| 9 | Basic kernels and kernel types | 291 |
| 10 | Kernels for text | 327 |
| 11 | Kernels for structured data : strings, trees, etc. | 344 |
| 12 | Kernels from generative models | 397 |
| App. A | Proofs omitted from the main text | 437 |
| App. B | Notational conventions | 444 |
| App. C | List of pattern analysis methods | 446 |
| App. D | List of kernels | 448 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
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Add Kernel Methods for Pattern Analysis, Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, Kernel Methods for Pattern Analysis to the inventory that you are selling on WonderClubX
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Add Kernel Methods for Pattern Analysis, Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, Kernel Methods for Pattern Analysis to your collection on WonderClub |