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ESANN
2006
13 years 10 months ago
Using sampling methods to improve binding site predictions
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling with th...
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
NAACL
2007
13 years 10 months ago
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
Ding Liu, Daniel Gildea
ICML
2009
IEEE
14 years 10 months ago
Discovering options from example trajectories
We present a novel technique for automated problem decomposition to address the problem of scalability in reinforcement learning. Our technique makes use of a set of near-optimal ...
Peng Zang, Peng Zhou, David Minnen, Charles Lee Is...
ICML
2003
IEEE
14 years 10 months ago
Relativized Options: Choosing the Right Transformation
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
Balaraman Ravindran, Andrew G. Barto
ICALT
2005
IEEE
14 years 2 months ago
Cognitive Apprenticeship-Based Object-Oriented Software Engineering Education Support Environment
Software development is knowledge-intensive as well as collaborative work carried out by several persons. In this type of education, project-based exercises are conducted in order ...
Atsuo Hazeyama, Yoshihide Ohgame, Masato Miura