1. Overview Algorithms for constructing decision trees are among the most well known and widely used of all machine learning methods. Among decision tree algorithms, J. Ross Quinlan's ID3 and its successor, C4.5, are probably the most popular in the machine learning community. These algorithms and variations on them have been the subject of numerous research papers since Quinlan introduced ID3....

Quinlan investigates how the cytoskeleton polarizes oocytes.

The ID3 (Iterative Dichotomiser 3) algorithm, introduced by Quinlan (Quinlan, 1986), (Baldwin, Lawry, & Martin) is a very effective method for the creation of decision trees expressing information stored by crisp logic data sets (data values in an attribute can only belong to a finite amount of categories). This algorithm has been the basis for several others such as the Fuzzy ID3 (FID3) algori...

We describe one approach to build an automatically trainable anaphora resolution system. In this approach, we use Japanese newspaper articles tagged with discourse information as training examples for a machine learning algorithm which employs the C4.5 decision tree algorithm by Quinlan (Quinlan, 1993). Then, we evaluate and compare the results of several variants of the machine learning-based ...

In a previous paper (Lopez de Mantaras, 1991), we introduced a new information theoretic attribute selection method for decision tree induction. This method consists in computing for each node, a distance between the partition generated by the values of each candidate attribute in the node and the correct partition of the subset of training examples in this node. The chosen attribute is that wh...

We describe the two most commonly used systems for induction of decision trees for classiication: C4.5 and CART. We highlight the methods and diier-ent decisions made in each system with respect to splitting criteria, pruning, noise handling, and other diierentiating features. We describe how rules can be derived from decision trees and point to some diierence in the induction of regression tre...

Wan S, Quinlan DJ, Agnelli G, et al. Thrombolysis compared with heparin for the initial treatment of pulmonary embolism: a metaanalysis of the randomized controlled trials. Circulation 2004;110:744–9. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...

EVIDENCE FOR TWO SITES OF SUPEROXIDE PRODUCTION BY MITOCHONDRIAL NADH-Q OXIDOREDUCTASE (COMPLEX I)* Jason R. Treberg, Casey L. Quinlan and Martin D. Brand Buck Institute for Research on Aging, Novato, CA, 94945, USA Running head: Two sites of superoxide production by complex I Address correspondence to: Jason R. Treberg, 8001 Redwood Blvd., Novato, CA, 94945. FAX: 415 209 2232. Email: jtreberg@...

In this work we present the application of inductive machine learning techniques in medical diagnosis of stroke. Our approach uses See5 algorithm -an updated version of the well known C4.5 (Quinlan J.R., 1993)which is capable of ‘‘learning from examples’’ by constructing a decision tree which can be transformed to IF/THEN rules.