Search found 432 matches
- Thu Jun 09, 2022 6:51 pm
- Forum: GeNIe
- Topic: query about noisyMAX algorithm
- Replies: 9
- Views: 3782
Re: query about noisyMAX algorithm
I see. I misunderstood your example but have have clarified it sufficiently. When A and B have an unobserved common parent C, you can write the following: P(A,B)=Sigma_over_i P(A|B,C_i)P(B|C_i)P(C_i) You write this formula for all possible states of C_i. Because both A and B are dependent on C, you ...
- Wed Jun 08, 2022 9:33 am
- Forum: GeNIe
- Topic: query about noisyMAX algorithm
- Replies: 9
- Views: 3782
Re: query about noisyMAX algorithm
Please look at a good Bayesian networks textbook. Pearl 1988 perhaps? When two adjacent variables are dependent, you can see it in the CPT: the distributions are different for different states of the parent. P(A,B)=P(A|B)P(B) for A and B being dependent. When they are independent, P(A|B)=P(A), i.e.,...
- Mon Jun 06, 2022 1:51 pm
- Forum: GeNIe
- Topic: query about noisyMAX algorithm
- Replies: 9
- Views: 3782
Re: query about noisyMAX algorithm
Don't the formulas in my earlier post help? P(E)=P(E|AB)P(AB)+P(E|A~B)P(A~B)+P(E|~AB)P(~AB)+P(E|~A~B)P(~A~B) vs. P(E)=P(E|AB)P(A)P(B)+P(E|A~B)P(A)P(~B)+P(E|~AB)P(~A)P(B)+P(E|~A~B)P(~A)P(~B) You can construct a simple model in GeNIe and plug in some numbers in the CPTs to see whether the theoretical ...
- Fri Jun 03, 2022 7:51 pm
- Forum: SMILE
- Topic: the probability method in java
- Replies: 1
- Views: 3932
Re: the probability method in java
What exactly do you mean by a fuzzy Bayesian network? There is a good chance that GeNIe does not implement it. We implement standard Bayesian networks, hybrid Bayesian networks (a mixture of discrete and continuous variables, very close to systems of simultaneous structural equations), dynamic Bayes...
- Fri Jun 03, 2022 7:48 pm
- Forum: SMILE
- Topic: Calculate function
- Replies: 1
- Views: 3709
Re: Calculate function
What exactly do you mean by a Fuzzy RB?
Cheers,
Marek
Cheers,
Marek
- Fri Jun 03, 2022 7:47 pm
- Forum: GeNIe
- Topic: diagnostic values are too small
- Replies: 1
- Views: 1880
Re: diagnostic values are too small
The meaning of the diagnostic values is purely theoretical and there are no units. They are essentially cross-entropies between a node and the fault in question. When it is 0.006, I agree that it is rather small. The interpretation is that when you learn the value of this node, you will not learn mu...
- Sat Apr 30, 2022 11:17 am
- Forum: GeNIe
- Topic: How to set evidence to a binomial equation node by external counters of successes
- Replies: 4
- Views: 3007
Re: How to set evidence to a binomial equation node by external counters of successes
Please excuse me for a delay in answering -- I was traveling and had a lot to catch up after the travel. Thank you for the clear explanation of the problem. Now I see what you are after. I think the attached model will do the trick. You will need to enter evidence for the nodes Observation? (either ...
- Thu Apr 21, 2022 11:47 am
- Forum: GeNIe
- Topic: network structure is too complex
- Replies: 1
- Views: 2138
Re: network structure is too complex
Hi Bahman, I have looked at your network and it is not really Node13 that is the culprit. Please note that your network will not update even if you remove this node. Generally, it is not that easy to predict the size of the junction tree in advance without trying triangulation. Your network is quite...
Re: ERROR
I’m on the road, so I will be very brief. A small percentage of invalid samples is generally not a problem. Gray arcs tell you that there is something wrong with the definition of the child. They mean, essentially, that they are not necessary (the child is independent of the parent), which means tha...
Re: ERROR
Thank you for the network. I can see that the domain of the node Blood_Sugar is [0.4,4.4] and the definition is Blood_Sugar=Weibull(451.545,0.365594). The samples from your Weibull span between practically zero and almost 400K. Many, many samples fall outside of the interval [0.4,4.4] and this is wh...
Re: ERROR
Hi Nira, It is hard to say without looking at the node in question and its parents and their definitions (mainly domains). Essentially, GeNIe complains here that there have not been enough samples to derive a precise CPT for the node in question. There may be many reasons for that, so suggesting how...
- Tue Apr 12, 2022 12:55 pm
- Forum: GeNIe
- Topic: Child node not calculating probability
- Replies: 3
- Views: 2184
Re: Child node not calculating probability
This is a "million dollars question" :-). Populating CPTs (Conditional Probability Tables) is generally a laborious task. If you have data that you can learn from, it helps a lot -- the tables can be learned from data. If not, then manual labor, getting the numbers from expert knowledge. O...
- Fri Apr 08, 2022 9:11 pm
- Forum: GeNIe
- Topic: Child node not calculating probability
- Replies: 3
- Views: 2184
Re: Child node not calculating probability
Your screen shot shows that the definition of the node Munkaterulet is trivial, i.e., none of the parents influences/makes any difference to the posterior marginal probability of the node. You can also see it in the color of the incoming arcs, which are all grey. This means that the node Munkaterule...
- Wed Apr 06, 2022 8:16 pm
- Forum: GeNIe
- Topic: conditional equation for evidence
- Replies: 1
- Views: 2113
Re: conditional equation for evidence
Hi Bahman, I hope I understand the question correctly. My understanding is that C has two parents, dt and Z. Also, there are possibly multiple outcomes of ZD, of which one is "z_1". In that case, your definition of C should be something like: C = If(ZD="z_1",Exponential(1),dt) If...
- Mon Apr 04, 2022 1:30 pm
- Forum: SMILE
- Topic: problem with my HBN
- Replies: 5
- Views: 5006
Re: problem with my HBN
I'm afraid I don't know the domain well enough to advise here. In social sciences, people often use linear equations but it is often because they don't have a good functional description of the mechanisms working in the system. In physics and often in engineering we do have a good idea what the equa...