mirage

Technical Reports (Electrical Engineering and Computer Science)

DSpace/Manakin Repository

Technical Reports (Electrical Engineering and Computer Science)

 

This collection includes files in the EECS Online Library not found elsewhere in ScholarsArchive@OSU. The EECS Online Library originated in the School of Electrical Engineering and Computer Science. It was designed to assist users at OSU and beyond to find information in electrical engineering and computer science. The library included items developed or written by members of EECS, such as technical reports and articles as well as administrative items.

This collection serves to augment the OSU Libraries print series, Oregon State University Computer Science Department Series [technical report] (QA76.9.S8 O7441), which may be digitized at a later date.

2012

Recent Submissions

  • Oregon State University. Dept. of Computer Science; Restificar, Angelo C.; Dietterich, Thomas Glen (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2013-01-29)
    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 ba ...
  • Oregon State University. Dept. of Computer Science; Piorkowski, David; Fleming, Scott D.; Kwan, Irwin; Burnett, Margaret, 1949-; Scaffidi, Chris; Bellamy, Rachel; Jordhal, Joshua (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2013-01-11)
    One of the least studied areas of Information Foraging Theory is diet: the information foragers choose to seek. For example, do foragers choose solely based on cost, or do they stubbornly pursue certain diets regardle ...
  • Oregon State University. Dept. of Computer Science; Seifert, Ethan; Stumpf, Simone; Herlocker, Jonathan Lee; Wynn, Eleanor H. (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2008)
    Browsing is one of the methods used for finding and refinding information on the web or in the file local system and there are opportunities to avoid this, particularly if that information is revisited frequently. We pre ...
  • Oregon State University. Dept. of Computer Science; Dietterich, Thomas Glen (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2006-04-30)
    Summary: Four proposed metrics: [1] average relative reduction in training time (sample size, number of training experiences) [2] jumpstart (initial advantage of transfer algorithm) [3] handicap (how long it takes the ...
  • Oregon State University. Dept. of Computer Science; Stumpf, Simone; Sullivan, Erin; Fitzhenry, Erin; Oberst, Ian; Wong, Weng-Keen; Burnett, Margaret, 1949- (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2007)
    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 ...