624 search results - page 43 / 125 » The Tradeoffs of Large Scale Learning |
SIGMOD
2010
ACM
14 years 21 days ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...
IADIS
2008
13 years 9 months ago
2008
Multi agent learning systems pose an interesting set of problems: in large environments agents may develop localised behaviour patterns that are not necessarily optimal; in a pure...
NIPS
2007
13 years 9 months ago
2007
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. A major obstacle to this is the insufficiency o...