User contributions for DurkKingma
Jump to navigation
Jump to search
- 14:21, 17 July 2006 diff hist −1,829 Learning System current
- 12:50, 17 July 2006 diff hist +1,830 Learning System
- 21:42, 13 June 2006 diff hist +1,619 Cheetah Slim
- 15:42, 13 June 2006 diff hist +225 LogboekDurkKingma current
- 15:39, 13 June 2006 diff hist +49 LogboekSjoerdVanKreel
- 11:17, 5 June 2006 diff hist +50 Learning System →Glucose level estimation: added activities like driving, work, exercise, sleep
- 11:48, 4 June 2006 diff hist +14 m Learning System →2c. Update posterior values: correction of formula
- 10:06, 4 June 2006 diff hist +83 Learning System →2d. Update posterior f(x)
- 09:55, 4 June 2006 diff hist +175 Learning System →Learning System, ignite your engine!
- 23:17, 3 June 2006 diff hist +91 Learning System →The function f(t): new event type: progress into pregnancy
- 22:37, 3 June 2006 diff hist +239 LogboekDurkKingma
- 22:34, 3 June 2006 diff hist +31 User:DurkKingma current
- 22:31, 3 June 2006 diff hist +59 Learning System added glycemic response estimation image
- 22:29, 3 June 2006 diff hist +61 N File:Summing events.png Example of summing events using the bayesian learning system. current
- 21:26, 3 June 2006 diff hist −35 User:DurkKingma
- 21:16, 3 June 2006 diff hist −4 Learning System →Bayesian Inference: more corrections on posterior formula
- 21:06, 3 June 2006 diff hist +6 Learning System →2a. Calculate subsample <math>s_i</math> of <math>e_i</math> =
- 21:04, 3 June 2006 diff hist 0 Learning System →Bayesian Inference
- 21:03, 3 June 2006 diff hist +45 Learning System →Learning System, ignite your engine!: corrections
- 20:56, 3 June 2006 diff hist −1,435 Learning System →Bayesian Inference: concluded last text.
- 20:15, 3 June 2006 diff hist +911 Learning System
- 19:53, 3 June 2006 diff hist +804 Learning System →Bayesian Inference
- 10:59, 3 June 2006 diff hist 0 Learning System →Glucose level estimation
- 15:24, 2 June 2006 diff hist +997 Learning System
- 14:25, 2 June 2006 diff hist +1,370 Learning System \\Statistical nature of the function f(t) intermediate save
- 13:22, 2 June 2006 diff hist +640 m Learning System added Learning System, ignite your engine!
- 10:30, 2 June 2006 diff hist +9 m LogboekDurkKingma
- 10:29, 2 June 2006 diff hist +448 LogboekDurkKingma
- 10:02, 2 June 2006 diff hist +40 Learning System →Significance of good a priori functions
- 10:01, 2 June 2006 diff hist +25 Learning System →Creation of a new event type: added "Significance of good a priori functions"
- 09:59, 2 June 2006 diff hist +979 Learning System →Creation of a new event type
- 09:28, 2 June 2006 diff hist 0 m Learning System →Creation of a new event type
- 09:27, 2 June 2006 diff hist +1,063 Learning System →On events: add "Creation of a new event type"
- 09:06, 2 June 2006 diff hist +267 Learning System →On events
- 15:05, 1 June 2006 diff hist +171 Learning System →Glucose level estimation
- 09:53, 1 June 2006 diff hist 0 Learning System
- 09:52, 1 June 2006 diff hist 0 Learning System
- 09:49, 1 June 2006 diff hist +194 Learning System correction on the prediction formula
- 09:34, 1 June 2006 diff hist +503 m Learning System added <math>g2_{estimate} = g1 + \sum_{k = 0}^n{f_(e1}(t_{g2}-t_{e1})-f_(e1}(t_{g1}-t_{e1})}</math>
- 08:57, 1 June 2006 diff hist +796 m Learning System New page to make stuff clearer
- 08:05, 1 June 2006 diff hist +634 Learning System
- 07:53, 1 June 2006 diff hist +3,260 N Learning System
- 19:00, 30 May 2006 diff hist +4 m Condition Effect Learning <math>a = \frac{x_{tot}-(\mu_1+\mu_2+...)}{\sigma_1^2+\sigma_2^2+...}</math> is now correct current
- 18:57, 30 May 2006 diff hist 0 m Condition Effect Learning <math>x_i=\mu_{prior}+a*\sigma_i^2</math><br> is now correct
- 18:35, 24 May 2006 diff hist +1 m Condition Effect Learning
- 18:32, 24 May 2006 diff hist −223 Condition Effect Learning
- 18:32, 24 May 2006 diff hist −9 Condition Effect Learning
- 18:30, 24 May 2006 diff hist −955 Condition Effect Learning
- 18:26, 24 May 2006 diff hist +4 Condition Effect Learning
- 18:24, 24 May 2006 diff hist +1 Condition Effect Learning
