314 search results - page 20 / 63 » Active Learning with Irrelevant Examples |
JSA
1998
14 years 11 months ago
1998
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...
NIPS
2007
15 years 1 months ago
2007
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
CORR
2010
Springer
14 years 12 months ago
2010
Springer
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
VLDB
2002
ACM
14 years 11 months ago
2002
ACM
Deduplication, a key operation in integrating data from multiple sources, is a time-consuming, labor-intensive and domainspecific operation. We present our design of alias that us...
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NIPS
1994
15 years 1 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...