Yet another blog which, if visited without JS enabled, displays a rather disconcertingly unrelated page (ticket search).
Noscript -> seatgeek.com -> Temp
(For anyone else confused by the apparent topic/content discrepancy).
And for those interested in a more readable technical explanation, there's the Wikipedia article (linked from the seatgeek blog): https://duckduckgo.com/lite
I was working with Kalman filters for a hardware project and had serious trouble wrapping my head around the topic.
I ended up confusing a Kalman Filter with a plain old Low Pass Filter at first (and you can reduce a Kalman filter to that if you don't have enough inputs) but it really is quite a powerful tool.
It's neat to see it applied to a different problem that might make it easier for novices (like myself) to understand. Thanks for posting!
I'd love to find FAAS - Kalman (and other) filtering as a service.
For instance: I run daily backups on various databases. I expect the backup size to increase roughly linearly, but I'm just going to look in on the backups at random, likely ignoring them for months at a time.
It'd be great to be able to run the backup size series through a filter that would alert me when something unexpected happened, e.g. slope changes significantly or some unusual step change.
great post, and thanks for sharing it. i came across the kalman filter after developing an algorithm to detect worm propagation. it applies equally well in that scenario, basically predictions.
[+] [-] sytelus|14 years ago|reply
[+] [-] dredmorbius|14 years ago|reply
Noscript -> seatgeek.com -> Temp
(For anyone else confused by the apparent topic/content discrepancy).
And for those interested in a more readable technical explanation, there's the Wikipedia article (linked from the seatgeek blog): https://duckduckgo.com/lite
[+] [-] jack7890|14 years ago|reply
If you don't mind me asking, why are you visiting websites without JS?
[+] [-] jack7890|14 years ago|reply
[+] [-] jianshen|14 years ago|reply
I ended up confusing a Kalman Filter with a plain old Low Pass Filter at first (and you can reduce a Kalman filter to that if you don't have enough inputs) but it really is quite a powerful tool.
It's neat to see it applied to a different problem that might make it easier for novices (like myself) to understand. Thanks for posting!
[+] [-] pork|14 years ago|reply
[+] [-] essayist|14 years ago|reply
I'd love to find FAAS - Kalman (and other) filtering as a service.
For instance: I run daily backups on various databases. I expect the backup size to increase roughly linearly, but I'm just going to look in on the backups at random, likely ignoring them for months at a time.
It'd be great to be able to run the backup size series through a filter that would alert me when something unexpected happened, e.g. slope changes significantly or some unusual step change.
[+] [-] jnazario|14 years ago|reply
[+] [-] derekja|14 years ago|reply
[+] [-] losethos|14 years ago|reply
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