1930 search results - page 138 / 386 » Learning to Solve QBF |
153
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
122
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
143
Voted
ATAL
2009
Springer
15 years 10 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
101
Voted
AIED
2007
Springer
15 years 10 months ago
2007
Springer
Self-explaining has been repeatedly shown to result in positive learning outcomes for students in a wide variety of disciplines. However, there are two potential accounts for why s...
156
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...