9888 search results - page 57 / 1978 » Active Algorithm Selection |
AROBOTS
1999
13 years 9 months ago
1999
We present a framework for constructing representations of space in an autonomous agent which does not obtain any direct information about its location. Instead the algorithm relie...
INTERSPEECH
2010
13 years 4 months ago
2010
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
IWDC
2001
Springer
14 years 2 months ago
2001
Springer
Abstract. For time-constrained applications, repair-server-based active local recovery approaches can be valuable in providing low-latency reliable multicast service. However, an a...
COLING
2010
13 years 5 months ago
2010
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
AAAI
2010
13 years 11 months ago
2010
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...