Hi Sotty.. It's ok..
Here you can find something about my project that I run into.. BioAgents
http://books.google.com.br/books?id=ohX4jvy96aoC&printsec=frontcover&hl=pt-BR#v=onepage&q=BioAgents&f=false
First it started using JESS.. after that Drools and Reinforcement Learning..
But the method appl
Predictive models, such as neural networks, support vector machines, cluster
models, decision trees etc can be used in two ways. One is classification:
you take some input data/facts and the model will estimate if this
particular set has a given characteristic or not.
E.g. given a set of genes, yo
Even more i read things seems more complex that are.. but in the same way
seems not..
I partially read about PMML and the following model seems a good solution:
http://www.ibm.com/developerworks/industry/library/ind-PMML1/image001.gif
If I have facts mined expecting some value to show how precis
Hi Geoffrey..
Thanks for reply..
I'm brainstorming the biologist's Knowledge domain..
maybe heuristic approach could be the solution or I can do it in a simple
way..
But for now,. I have just rules with different ways to use them.. specific
for each biologist.
The Idea is to mix them to have an u
Hi Daniel, if you have predictive models you might be interested in the PMML
integration we're working on.. but it's indeed necessary that you define the
nature of your problem and your requirements first :)
Let us know if you need more assistance
Best
Davide
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Hi sotty.. I know how A* algorithm works, but it's only a theoretical
knowledge..
It's good to know that I can express Heuristic Knowledge using drools
rules..
I just need to adjust well the problem domain to know what I really need to
do..
Thanks for showing how to use an heuristic behavior insi
Thanks for reply.. Laune
There are things in the book that would answer some questions..
Well, it's good to know that I can express a Heuristic Knowledge in Drools
Expert.
And I have drools planning to use metaheuristic.. But, I need to model my
problem well first to know what approach I will fol
If your problem is A* search efficient, you should use A* search. It's
better and simpler than any metaheuristic.
Problem is, most real-life problems are NP complete and A* search
doesn't work efficiently on those.
Some examples:
- Quickest route between 2 cities: Use A* search
- Quickest route
Are you familiar with the A* algorithm? A heuristic function is typically
used in (state-)space search problems: at a given point, you may have
alternative "paths" you can choose and the heuristic will help you
estimate/predict how "successful" exploring that branch would be by giving a
score. The
On 17/06/2012, Daniel Souza wrote:
> Today I was reading the book Expert System Principle and Programming and I
> noticed a view point about *Knowledge Domain*:
>
> /"A pratical limitation of many expert systems today is lack of *casual
> knowledge*.
I confirmed my understanding of "casual" by lo
Today I was reading the book Expert System Principle and Programming and I
noticed a view point about *Knowledge Domain*:
/"A pratical limitation of many expert systems today is lack of *casual
knowledge*. That is, the expert systems do not have an understanding of the
underlying causes and effect
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