187 search results - page 7 / 38 » Bounding the cost of learned rules |
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
FUZZIEEE
2007
IEEE
14 years 1 months ago
2007
IEEE
The algorithm of on-line predictor from input-output data pairs will be proposed. In this paper, it proposed an approach to generate fuzzy rules of predictor from real-time input-o...
CDC
2008
IEEE
14 years 1 months ago
2008
IEEE
— We study the problem of dynamic learning by a social network of agents. Each agent receives a signal about an underlying state and communicates with a subset of agents (his nei...
AAAI
2007
13 years 9 months ago
2007
We consider a resource selection game with incomplete information about the resource-cost functions. All the players know is the set of players, an upper bound on the possible cos...