695 search results - page 94 / 139 » Efficient Algorithms for General Active Learning |
AAAI
2000
13 years 9 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
MM
2004
ACM
14 years 1 months ago
2004
ACM
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
ESORICS
2009
Springer
14 years 8 months ago
2009
Springer
Abstract. Diagnostic and classification algorithms play an important role in data analysis, with applications in areas such as health care, fault diagnostics, or benchmarking. Bran...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
EUC
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Well-scheduled communications, in conjunction with the aggregation of data reduce the energy waste on idle listening and redundant transmissions. In addition, the adjusta...