1829 search results - page 226 / 366 » On Learning Soccer Strategies |
161
Voted
AI
1998
Springer
15 years 22 days ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
123
Voted
PR
2007
15 years 15 days ago
2007
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
142
Voted
CORR
2012
Springer
13 years 8 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
131
Voted
ICPR
2008
IEEE
2008
IEEE
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
16 years 2 months ago
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
116
Voted
KDD
2009
ACM
16 years 1 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...