… since while building the classifier the learning is guided toward the class label. Common …
the relationship between the rule length in the classifier and the number of instances each …

… induction algorithm, IGR, that uses each training instances as a guide of rule induction…
IGR learns a set of if-then rules by inducing a pseudo-optimun classification rule for each …

… or Ck- Next, all instances covered by the learned rule set are removed from the dataset, and
… to guide rule pruning and an MDL-based heuristic for determining how many rules should …

… After explaining how to download the source code, the reader is guided through … rule says
that for every instance of the head the body must be provable. This means that the target rule …

… rule induction task we can define a space of sets of instances in addition to the space of sets
of rules… available as an input to the rule generator, to help guide the next step of generation. …

… -sampling procedure guided by evolutionary algorithms to … and the rule sets obtained by
PART rule induction algorithm. … with the model induced by using the instances selected in S . …

… The evolutionary algorithm described in this paper induces fuzzy rules guided by the …
finished and a fuzzy rule has been obtained, the positive instances of the rule (covered examples) …

… This article presents GuideR, a user-guided rule induction algorithm, which overcomes the …
Namely, the median M and the standard deviation σ of labels of instances covered by the rule …

… through the space of rules is guided by heuristics as opposed … for rule induction and hence
new rules are induced. The … the most previously uncovered instance nodes and forms a rule. If …

… signals appropriately to guide behavior and to recognize the need to apply rule-shift operations
(… Yet, in concrete instances they were often unable to recognize in the control character a …