2960 search results - page 125 / 592 » Learning from Multiple Sources |
141
Voted
ACL
2012
13 years 4 months ago
2012
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
134
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ICML
1998
IEEE
16 years 3 months ago
1998
IEEE
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
171
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BMCBI
2011
14 years 9 months ago
2011
Background: Broad-based collaborations are becoming increasingly common among disease researchers. For example, the Global HIV Enterprise has united cross-disciplinary consortia t...
121
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MLMI
2005
Springer
15 years 8 months ago
2005
Springer
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extents in various real-life applications....
RECOMB
2008
Springer
16 years 2 months ago
2008
Springer
We report on a new algorithm for combining the information from several mass spectra of the same peptide. The algorithm automatically learns peptide fragmentation patterns, so that...