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» Scaling up Analogical Learning
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ACL
2008
13 years 9 months ago
Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
Jun Suzuki, Hideki Isozaki
INTETAIN
2005
Springer
14 years 1 months ago
Squidball: An Experiment in Large-Scale Motion Capture and Game Design
This paper describes Squidball, a new large-scale motion capture based game. It was tested on up to 4000 player audiences last summer at SIGGRAPH 2004. It required the construction...
Christoph Bregler, Clothilde Castiglia, Jessica De...
AAAI
2006
13 years 9 months ago
A Fast Decision Tree Learning Algorithm
There is growing interest in scaling up the widely-used decision-tree learning algorithms to very large data sets. Although numerous diverse techniques have been proposed, a fast ...
Jiang Su, Harry Zhang
ANLP
1992
85views more  ANLP 1992»
13 years 9 months ago
Learning a Scanning Understanding for "Real-world" Library Categorization
This paper describes, compares, and evaluates three different approaches for learning a semantic classification of library titles: 1) syntactically condensed titles, 2) complete t...
Stefan Wermter
ITS
2010
Springer
134views Multimedia» more  ITS 2010»
13 years 12 months ago
Learning to Argue Using Computers - A View from Teachers, Researchers, and System Developers
The ability to argue is essential in many aspects of life, but traditional face-to-face tutoring approaches do not scale up well. A solution for this dilemma may be computer-suppor...
Frank Loll, Oliver Scheuer, Bruce M. McLaren, Niel...