… n = 3 3 42 Craven and Shavlik · the number of nodes tested during the search, ·
subsumption-check comparisons to previously ext racted rules. rule-set fidelity -"- r ·- Similarly, the …

… [4] MW Craven, Extracting comprehensible models from trained neural networks, Ph.D.
Thesis, Computer Sciences Department, University of Wisconsin, Madison, WI, 1996; available …

Although neural networks have been used to develop highly accurate classifiers in numerous
real-world problem domains, the models they learn are notoriously difficult to understand. …

We have developed an approach to classify toxicants based upon their influence on profiles
of mRNA transcripts. Changes in liver gene expression were examined after exposure of …

Chromosome 17q12-q21 is the most replicated genetic locus for childhood-onset asthma.
Polymorphisms in this locus containing ∼10 genes interact with a variety of environmental …

A distinct advantage of symbolic learning algorithms over artificial neural networks is that
typically the concept representations they form are more easily understood by hu-mans. One …

Objectives: To evaluate the association between multiple complications and postoperative
outcomes and to assess which complications occur together in patients with multiple …

Accumulating evidence suggests that reversible protein acetylation may be a major
regulatory mechanism that rivals phosphorylation. With the recent cataloging of thousands of …

Introduction Objective quantification of technical operative skills in surgery remains poorly
defined, although the delivery of and training in these skills is essential to the profession of …

As laboratories round the world produce ever-greater volumes of DNA sequence data, efficient
computational analysis techniques are becoming essential. This article surveys several …