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» Learning Rules to Improve a Machine Translation System
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VL
2010
IEEE
216views Visual Languages» more  VL 2010»
14 years 10 months ago
Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, ...
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
15 years 6 months ago
Automatic Recommendations for Machine-Assisted Multimedia Annotation: A Knowledge-Mining Approach
Recommender systems apply knowledge discovery techniques to help in finding associated information. In this paper, we investigate the use of association rule mining as an underlyi...
Mónica Díez, Paulo Villegas
AAAI
2011
13 years 12 months ago
Effective End-User Interaction with Machine Learning
End-user interactive machine learning is a promising tool for enhancing human productivity and capabilities with large unstructured data sets. Recent work has shown that we can cr...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
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OSDI
2008
ACM
16 years 4 days ago
Binary Translation Using Peephole Superoptimizers
We present a new scheme for performing binary translation that produces code comparable to or better than existing binary translators with much less engineering effort. Instead of...
Sorav Bansal, Alex Aiken
ICALT
2005
IEEE
15 years 5 months ago
A Role-Based Approach to Group Support in a Collaborative Learning Environment
This article describes preliminary work on a research environment called Virtus that is a web-based learning system tailored to enhance group working and collaborative learning. W...
Henri Eberspächer, Michelle Joab