I\'m trying to implement a web application that will let users define rules and ask questions to see if statements are legal or illegal according to a set of rules. The domains I have in mind would be
I\'m trying to write rules in Drools Expert. In the when part of the rule, I check some properties of an Application object. This object contains a List and I would like to check if a bunch of rules a
I\'m pretty new to R and I\'m stuck with a pretty dumb problem. I\'m calibrating a regression tree using the rpart package in order to do some classification and some forecasting.
I\'m looking for the best algorithm to 开发者_开发百科optimise the decisions made in a simultaion to find a fast result in a reasonable amount of time. The simultaion does a number of \"ticks\" and oc
It is said that different algorithms have different parameters. I don\'t really see this as true, say if it is a tree decision algorithm and naive bayesian algorithm, what开发者_运维知识库 is the para
In my application, I model a decision diagram (nodes+connections). I have model classes ready (two basic classes: Node and Connection + subclasses for special cases). This diagram gets very big and ke
I\'ve been working weka for couple of months now. Currently, I\'m working on my machine learning course here in Ostfold University College.
I\'d like to create an Eclipse extension modelling a decision tree/diagram. The actual modelling would be done using a graphical interface (nodes, connections etc). I\'d like this plugin to generate c
There are three ways to measure i开发者_StackOverflowmpurity: What are the differences and appropriate use cases for each method?If the p_i\'s are very small, then doing multiplication on very
This is a follow up on my previous question. I have a decision tree in the following form: and I want to transform it into rules in Drools Expert. The use of insertLogical has been proposed. Drools
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