BayesFusion Support Forum

Marek

it helps !

Thanks

Didier

Good morning,

is there a way to find the set of decision that maximises the value based on different characteristics accross a network ? is it a possible to know which part of the network maximizes the value for the same set of decisions ?

Does smile have this feature ?

Best Regards.


Didier

Good Morning All, I would like to create the equivalent of a decision tree with value maximixation. Each node of tree, there's a random variable related to a decision variables. By construction, a tree equivalent looks like a linear model where all the probability has to reflect the potential branch...

Marek,

Thanks for your message.

I made some experimentation following your message. It looks working fine.

Cheers.

Didier

Marek, you wrote " You may be referring to what is known as the MAP problem (Maximum A-posteriori Assignment) in Bayesian networks. GeNIe has an algorithm implementing this implemented (Annealed MAP in the Network menu)" It was about the MAP problem indeed : Excellent, this is good new !!!...

Good Morning All, I was wondering if it's possible to get the combination of variables/factor/attributes that gives the highest Probability in the network for a specific target variable ? Can we get the best combination of variables/ factor/ attributes that maximises/ minimize the expected utility (...

Shooltz,

OK thanks for this.

I was just working on the learning of the structure for the the data first.

I totally ignored the decision dimensions so far.

I will start to work on this aspect from now: it looks very powerfull to make any decisions !!!

Cheers.

Didier

Ok. I decreased the number of variables as well. By the way, I used Genie during all this afternoon: I leveraged Genie as a Tool to mine the data as well. The only comment is that I can made it will be good if the last target value can be kept in order to compare with the new value. also, I don t un...

Good Morning, I have 130 000 records and 8 variables. I launched the PC learning algo for structure learning ! my computer is core i7 ( 4 cores ) and 16 GBram. It s still running after 15 minutes.... my question is : After how many minutes we can decide to stop Genie and resuggest to Genie a shorter...

Marek,

Your post shows my lack of the knowledge of Genie:

I don't know how to " define x=Normal(mu,sigma)".

Cheers.

Didier

For exemple, it's the distribution of the two parameters that describe a normal distribution.

2. And second, is there any way of having a probability density function, let's say a Gaussian, defining the conditional probability between two or more nodes?

I think it s interesting question this one.

Marek, Thanks for your email. I think your answer is usefull. I tested your proposition and ideas on some cases: it allowed me to start my understanding of Genie. Thanks for this !!!! Didier ps: I am still interested in the different methodology of learning and graph construction (If you have any ki...

Good morning, I am a new user of Genie (and soon of Smile). So far, I am impressed by your work and software. I would like to know the different feature of algo in order to learn the structure. Do you have a link that shows the advantage and weakness of each methodology ? By adance, thanks for this....