Index Catalog // ScholarsArchive@OSU

Creator:: Restificar, Angelo C., Dietterich, Thomas Glen, and Oregon State University. Department of Computer Science
Abstract:: An important challenge in machine learning is to find ways of learning quickly from very small amounts of training data. The only way to learn from small data samples is to constrain the learning process by exploiting background knowledge. In this report, we present a theoretical analysis on the use...
Resource Type:: Technical Report
Full Text:: Computer Science Oregon State University Corvallis, OR 97331 Abstract An important challenge in machine

Creator:: Oregon State University. Dept. of Computer Science, Stumpf, Simone, Sullivan, Erin, Fitzhenry, Erin, Oberst, Ian, Wong, Weng-Keen, and Burnett, Margaret, 1949-
Abstract:: The potential for machine learning systems to improve via a mutually beneficial exchange of information with users has yet to be explored in much detail. Previously, we found that users were willing to provide a generous amount of rich feedback to machine learning systems, and that the types of some...
Resource Type:: Research Paper
Full Text:: report on an experiment that allowed users to help train the machine learning system through adding and

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:: Oregon State University School of Electrical Engineering and Computer Science Corvallis, OR 97331 USA

Creator:: Oregon State University. Dept. of Computer Science and Shen, Jianqiang
Abstract:: This paper surveys the activity recognition task from a machine learning perspective. I give a definition of this problem, and I classify different activity recognition problems into two categories. I show the activities can be hierarchical, and based on such hierarchies I synthesize a language to describe activities. I give...
Resource Type:: Research Paper
Full Text:: . Activity recognition will play an important role in our lives. In Computer Science, perhaps the earliest

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
Full Text:: Science Oregon State University Corvallis, OR 97331 Pat Langley Institute for the Study of Learning and

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:: Systematic Search Valentina Bayer�Zubek School of Electrical Engineering and Computer Science Oregon State

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:: Stumpf, Simone, Rajaram, Vidya, Li, Lida, Burnett, Margaret, 1949-, Dietterich, Thomas Glen, Sullivan, Erin, Drummond, Russell, and Herlocker, Jonathan Lee
Abstract:: There has been little research into how end users might be able to communicate advice to machine learning systems. If this resource--the users themselves--could somehow work hand-in-hand with machine learning systems, the accuracy of learning systems could be improved and the users' understanding and trust of the system could improve...
Resource Type:: Technical Report
Full Text:: Microsoft Word - Techrep-061002.doc Technical Report CS#06

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:: Computer Science Oregon State University Corvallis, OR 97331 May 14, 1999 Abstract We consider learning

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