Index Catalog // ScholarsArchive@OSU

Creator:: Dietterich, Thomas G.
Abstract:: Exploratory research contributes to the continued vitality of every discipline. The aim of exploratory research is to identify new tasks-tasks that cannot be solved by existing methods. Once a new task has been found, exploratory research seeks to develop a precise definition of the task and to understand the factors...
Resource Type:: Technical Report
Full Text:: - 580). Los Angeles, CA: Morgan Kaufmann. Mitchell, T. M., Utgo:ff, P. E., & Banerji, R. B. (1983

Creator:: Joshi, Saket, Dietterich, Thomas G., and Oregon State University. School of Electrical Engineering and Computer Science
Abstract:: Sequential supervised learning problems involve assigning a class label to each item in a sequence. Examples include part of speech tagging and text to speech mapping. A very general-purpose strategy for solving such problems is to construct a recurrent sliding window (RSW) classifier which maps some window of the input...
Resource Type:: Technical Report
Full Text:: Biology� � � �� Quinlan� J� R� �� C�� Programs for Empirical Learning� Morgan Kaufmann� San

Creator:: Oregon State University. Dept. of Computer Science, Margineantu, Dragos D. (Dragos Dorin), and Dietterich, Thomas G.
Abstract:: Many machine learning applications require classifiers that minimize an asymmetric loss function rather than the raw misclassification rate. We study methods for modifying C4.5 to incorporate arbitrary loss matrices. One way to incorporate loss information into C4.5 is to manipulate the weights assigned to the examples from different classes. For...
Resource Type:: Research Paper
Full Text:: Learning. Morgan Kaufmann, San Francisco, CA. Quinlan, J. R. (1993). C4.5: Programs for Machine Learning

Creator:: Dietterich, Thomas G.
Abstract:: This chapter develops a taxonomy of learning methods using techniques based on Newell’s knowledge level. Two properties of each system are defined: knowledge level predictability and knowledge level learning. A system is predictable at the knowledge level if the principle of rationality can be applied to predict its behavior. A...
Resource Type:: Technical Report
Full Text:: artificial intelligence approach, Vol. III , edited by R . S. Michalski and Y. Kodratoff, Los Altos, CA

Creator:: Dietterich, Thomas G. and Bakiri, Ghulum
Abstract:: Multiclass learning problems involve finding a definition for an unknown function f(x) whose range is a discrete set containing k > 2 values (i.e., k "classes") . The definition is acquired by studying large collections of training examples of the form (xi, f(xi)) . Existing approaches to this problem include...
Resource Type:: Technical Report
Full Text:: ) . Haussler, D. & Pitt, L. (Eds.) COLT '88, Cambridge, MA: Morgan Kaufmann. COLT (1989). Rivest, R. L

Creator:: Dietterich, Thomas G. and D'Ambrosio, Bruce
Abstract:: This report describes of current research in Artificial Intelligence at Oregon State University. The five areas of active research are ( a) intelligent aids for mechanical engineering design, (b) active experimentation as a method in machine learning, ( c) techniques for combining logic programming and assumption-based truth maintenance, ( d)...
Resource Type:: Technical Report

Creator:: Flann, Nicholas S. and Dietterich, Thomas G.
Abstract:: This paper formalizes a new learning from examples problem: identifying a correct concept definition from positive examples such that the concept is some specialization of a target concept defined by a domain theory. This paper describes an empirical study that evaluates three methods for solving this problem: explanation based generalization...
Resource Type:: Technical Report
Full Text:: preconditions WP : J cxr dx (r =/= -1) for OP3 to be a successful operator. It then constructs the preference

Creator:: Dietterich, Thomas G. and Bennett, James S.
Abstract:: In recent papers on machine learning, the term 'operationalization' has been used to describe the purpose of the learning process. In particular, explanation-based learning systems are said to 'operationalize' the given target concept. Unfortunately, the exact meaning of this term has varied from one paper to another, and frequently the...
Resource Type:: Technical Report
Full Text:: , E, R) consisting of a goal G, an environment E, and a set of resource constraints R. For example

Creator:: Dietterich, Thomas G. and Flann, Nicholas S.
Resource Type:: Technical Report
Full Text:: the tree (see VanLehn, 1987). Here is one common AND/ 0 R tree that could be produced by Step 2

Creator:: Dietterich, Thomas G.
Abstract:: When Newell introduced the concept of the knowledge level as a useful level of description for computer systems, he focused on the representation of knowledge. This paper applies the knowledge level notion to the problem of knowledge acquisition. Two interesting issues arise. First, some existing machine learning programs appear to...
Resource Type:: Technical Report
Full Text:: sets of possible hypotheses. 7 The rule 'r/x [Red(x) A Small(x)] V [Black(x) A Big(x

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