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ACL
2010
14 years 9 months ago
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...
Michael Bloodgood, Chris Callison-Burch
RECOMB
2005
Springer
16 years 1 days ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
IEICET
2008
67views more  IEICET 2008»
14 years 11 months ago
Learning of Finite Unions of Tree Patterns with Internal Structured Variables from Queries
We consider the polynomial time learnability of finite unions of ordered tree patterns with internal structured variables, in the query learning model of Angluin (1988). An ordered...
Satoshi Matsumoto, Takayoshi Shoudai, Tomoyuki Uch...
CVPR
2005
IEEE
16 years 1 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
ASPLOS
2008
ACM
15 years 1 months ago
Learning from mistakes: a comprehensive study on real world concurrency bug characteristics
The reality of multi-core hardware has made concurrent programs pervasive. Unfortunately, writing correct concurrent programs is difficult. Addressing this challenge requires adva...
Shan Lu, Soyeon Park, Eunsoo Seo, Yuanyuan Zhou