Timeline for Applying different kernels to parts of a dataset and merging the output [duplicate]
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| May 29, 2020 at 16:00 | comment | added | Sycorax♦ | Generally, scaling gives better results, but this isn't always true. See: stats.stackexchange.com/questions/172795/… | |
| May 29, 2020 at 15:56 | history | closed |
Sycorax♦ CommunityBot |
Duplicate of Proof of sum of kernels of concatenated vector | |
| May 29, 2020 at 15:56 | comment | added | mm523 | @SycoraxsaysReinstateMonica thank you for pointing me to that question! One more question: if I am using different kernels, do I still need to scale the features beforehand or does that become less important (assuming they are all similar within one subset)? | |
| May 29, 2020 at 15:45 | comment | added | Sycorax♦ | The sum of kernels is also a kernel, so from that perspective it's valid. stats.stackexchange.com/questions/270967/… // Whether or not it's a good idea for you problem is, of course problem-dependent, so I'm not sure we can answer that directly. // "How do I ___ in [python/R/Excel]" is not an on-topic question here. | |
| May 29, 2020 at 15:33 | history | edited | mm523 | CC BY-SA 4.0 |
added 136 characters in body; edited tags
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| May 29, 2020 at 14:41 | history | asked | mm523 | CC BY-SA 4.0 |