P
Patrick M. Murphy
Researcher at University of California, Irvine
Publications - 11
Citations - 720
Patrick M. Murphy is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Decision tree & Tree (data structure). The author has an hindex of 7, co-authored 11 publications receiving 692 citations.
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Book ChapterDOI
Reducing misclassification costs
Michael J. Pazzani,Christopher J. Merz,Patrick M. Murphy,Kamal A. Ali,Timothy Hume,Clifford Brunk +5 more
TL;DR: Algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples are explored and the Reduced Cost Ordering algorithm, a new method for creating a decision list, is described and compared to a variety of inductive learning approaches.
Book ChapterDOI
ID2-of-3: Constructive Induction of M-of-N Concepts for Discriminators in Decision Trees
TL;DR: A family of greedy methods for building m-of-n concepts are explored and it is shown how these concepts can be formed as internal nodes of decision trees, serving as a bias to the learner.
Journal ArticleDOI
Exploring the decision forest: an empirical investigation of Occam's razor in decision tree induction
TL;DR: The authors investigated the relationship between the size of a decision tree consistent with some training data and the accuracy of the tree on test data and found that smaller decision trees are on average less accurate than the average accuracy of slightly larger trees.
Posted Content
Exploring the Decision Forest: An Empirical Investigation of Occam's Razor in Decision Tree Induction
TL;DR: The authors investigated the relationship between the size of a decision tree consistent with some training data and the accuracy of the tree on test data and found that smaller decision trees are on average less accurate than the average accuracy of slightly larger trees.
Book ChapterDOI
Revision of production system rule-bases
TL;DR: It is shown that CLIPS-R can take advantage of a variety of user specified constraints on the correct processing of instances, such as ordering constraint on the displaying of information, and the contents of the final fact list, when the only constraint on processing an instance is the correct classification of the instance.