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Clifford Brunk
Researcher at University of California, Irvine
Publications - 15
Citations - 946
Clifford Brunk is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Statistical relational learning & Domain (software engineering). The author has an hindex of 9, co-authored 15 publications receiving 919 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.
Journal ArticleDOI
Adaptive interfaces for ubiquitous web access
TL;DR: Allowing mobile users to access any information at any time from any location, including location-based advertising, is now available.
Book ChapterDOI
A knowledge-intensive approach to learning relational concepts
TL;DR: Providing domain knowledge to the integrated system can decrease the amount of search required during learning and increase the accuracy of learned concepts, even when the domain knowledge is incorrect and incomplete.
Book ChapterDOI
An investigation of noise-tolerant relational concept learning algorithms
TL;DR: The types of noise that may occur in relational learning systems are discussed and two approaches to addressing noise in a relational concept learning algorithm are described.
Journal ArticleDOI
Detecting and correcting errors in rule-based expert systems: an integration of empirical and explanation-based learning
TL;DR: It is argued that techniques proposed for combining empirical and explanation-based learning methods can also be used to detect errors in rule-based expert systems, to isolate the blame for these errors to a small number of rules and suggest revisions to the rules to eliminate these errors.