Index Catalog // ScholarsArchive@OSU

Creator:: Oregon State University. Dept. of Computer Science and Dietterich, Thomas Glen
Abstract:: What is the relationship between learning and reasoning? Much recent work in machine learning has been criticized for focusing on learning and ignoring reasoning. This paper attempts to describe the various ways in which machine learning research has (and has not) incorporated reasoning. The paper argues that there are important...
Resource Type:: Research Paper
Full Text:: Learning and Reasoning Thomas G. Dietterich Department of Computer Science Oregon State University

Creator:: Oregon State University. Dept. of Computer Science, Dietterich, Thomas Glen, and Langley, Pat
Abstract:: The field of machine learning has made major strides over the last 20 years. This document summarizes the major problem formulations that the discipline has studied, then reviews three tasks in cognitive networking and briefly discusses how aspects of those tasks fit these formulations. After this, it discusses challenges for...
Resource Type:: Research Paper

Creator:: Oregon State University. Dept. of Computer Science, Amoth, Thomas R., Cull, Paul, 1943-, and Tadepalli, Prasad
Abstract:: We consider learning tree patterns from queries extending our preceding work [Amoth, Cull, & Tadepalli, 1998]. The instances in this paper are unordered trees with nodes labeled by constant identifiers. The concepts are tree patterns and unions of tree patterns (unordered forests) with leaves labeled with constants or variables. A...
Resource Type:: Research Paper
Full Text:: 95m.dvi Exact Learning of Unordered Tree Patterns From Queries Thomas R

Creator:: Oregon State University. Dept. of Computer Science, Stumpf, Simone, Rajaram, Vidya, Li, Lida, Wong, Weng-Keen, Burnett, Margaret, 1949-, Dietterich, Thomas Glen, Sullivan, Erin, and Herlocker, Jonathan Lee
Abstract:: Although machine learning is becoming commonly used in today's software, there has been little research into how end users might interact with machine learning systems, beyond communicating simple "right/wrong" judgments. If the users themselves could somehow work hand-in-hand with machine learning systems, the accuracy of learning systems could be improved...
Resource Type:: Research Paper
Full Text:: , Lida Li, Weng-Keen Wong, Margaret Burnett, Thomas Dietterich, Erin Sullivan, Jonathan Herlocker

Creator:: Oregon State University. Dept. of Computer Science and Zubek, Valentina Bayer
Abstract:: A diagnostic policy species what test to perform next based on the results of previous tests and when to stop and make a diagnosis. Cost-sensitive diagnostic policies perform tradeoffs between (a) the costs of tests and (b) the costs of misdiagnoses. An optimal diagnostic policy minimizes the expected total cost....
Resource Type:: Research Paper
Full Text:: expected costs� All costs are positive� There are N tests and K diagnoses� Test xn returns the value of

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