mirage

Browsing by Author "Oberst, Ian"

DSpace/Manakin Repository

Browsing by Author "Oberst, Ian"

Sort by: Order: Results:

  • End-user debugging of machine-learned programs : toward principles for baring the logic 
    Kulesza, Todd; Stumpf, Simone; Riche, Yann; Burnett, Margaret; Wong, Weng-Keen; Oberst, Ian; Moor, Travis; McIntosh, Kevin; Bice, Forrest (2009?)
    Many applications include machine learning algorithms intended to learn “programs” (rules of behavior) from an end user’s actions. When these learned programs are wrong, their users receive little explanation as to why, ...
  • End-user feature engineering in the presence of class imbalance 
    Oberst, Ian; Moore, Travis; Wong, Weng-Keen; Kulesza, Todd; Stumpf, Simone; Riche, Yann; Burnett, Margaret (2009-11-02)
    Intelligent user interfaces, such as recommender systems and email classifiers, use machine learning algorithms to customize their behavior to the preferences of an end user. Although these learning systems are somewhat ...
  • Integrating rich user feedback into intelligent user interfaces 
    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 ...
  • On feature relevance feedback methods : incorporating labeled user features 
    Oberst, Ian (2010-08-06)
    In text classification, labeling features is often less time consuming than labeling entire documents. In situations where very little labeled training data is available, feature relevance feedback has the potential to d ...

Search ScholarsArchive@OSU

Browse

My Account