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JMLR
2012
13 years 9 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell
SIGIR
2005
ACM
16 years 7 days ago
Automatic web query classification using labeled and unlabeled training data
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
CIKM
2010
Springer
15 years 4 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang
LWA
2004
15 years 8 months ago
An Assessment Framework for eLearning in the Semantic Web
In this paper we present a flexible assessment framework for eLearning based on semantic web technologies. The assessment techniques are formalized as reasoning rules. These rules...
Lilia Cheniti-Belcadhi, Nicola Henze, Rafik Braham
ICMLC
2010
Springer
15 years 5 months ago
Approaches to improving corpus quality for statistical machine translation
: The performance of a statistical machine translation (SMT) system heavily depends on the quantity and quality of the bilingual language resource. However, the pervious work mainl...
Peng Liu, Yu Zhou, Chengqing Zong