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Browsing Technical Reports (Electrical Engineering and Computer Science) by Author "Rajaram, Vidya"

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Browsing Technical Reports (Electrical Engineering and Computer Science) by Author "Rajaram, Vidya"

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  • Oregon State University. Dept. of Computer Science; Rajaram, Vidya; Stumpf, Simone; Burnett, Margaret, 1949-; Dragunov, Anton; Wick, Evelyn; Lynn, Juliana; Johnsrude, Kevin; Herlocker, Jonathan Lee (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2005-10-05)
    Knowledge workers need to find information but even when it is stored on their local computer systems, finding it can be costly. There are many researchers working on solutions to reduce these costs, but there has been l ...
  • Oregon State University. Dept. of Computer Science; Stumpf, Simone; Rajaram, Vidya; Li, Lida; Wong, Weng-Keen; Burnett, Margaret, 1949-; Dietterich, Thomas Glen; Sullivan, Erin; Herlocker, Jonathan Lee (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2007)
    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 ...
  • Oregon State University. Dept. of Computer Science; Rajaram, Vidya (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2007)
  • Oregon State University. Dept. of Computer Science; Stumpf, Simone; Burnett, Margaret, 1949-; Rajaram, Vidya; Herlocker, Jonathan Lee (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2006)
    If basic assumptions about how knowledge workers conceptualize and use work units are wrong, then any solutions resting on those assumptions are unlikely to be successful since, instead of decreasing costs, they will lea ...
  • Oregon State University. Dept. of Computer Science; Stumpf, Simone; Rajaram, Vidya; Li, Lida; Burnett, Margaret, 1949-; Dietterich, Thomas Glen; Sullivan, Erin; Drummond, Russell; Herlocker, Jonathan Lee (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2006-10-02)
    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, th ...

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