4 ms·
Expensive information? Please. I'm not asking for all weights, I'm asking for 1/1000 weights. If it's tiny, then sharing it should be inconsequential. And n
by earl 16y ago
Expensive information? Please. I'm not asking for all weights, I'm asking for 1/1000 weights. If it's tiny, then sharing it should be inconsequential. And no bullshit about competitors or spammers please -- it's not as if anyone is unaware that ranking well in Google organic results is good :rolleyes:
- Aaronontheweb 16y agoWhat would be the value in knowing that weight without knowing what it's relative to?
- earl 16y agoI thought it went without saying that the relevant coefficient should be taken from a unit normal vector or some other indication of relative magnitude should be given.
- jongraehl 16y agoI prefer expectation (over typical queries) of weighted variance of the feature, divided by the total weighted variance of all features. (most likely sqrt(variance) instead, but whatever power you prefer).