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SPIRE
2009
Springer
14 years 2 months ago
Faster Algorithms for Sampling and Counting Biological Sequences
Abstract. A set of sequences S is pairwise bounded if the Hamming distance between any pair of sequences in S is at most 2d. The Consensus Sequence problem aims to discern between ...
Christina Boucher
EDBT
2009
ACM
131views Database» more  EDBT 2009»
14 years 1 months ago
Sample synopses for approximate answering of group-by queries
With the amount of data in current data warehouse databases growing steadily, random sampling is continuously gaining in importance. In particular, interactive analyses of large d...
Philipp Rösch, Wolfgang Lehner
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 11 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
AAAI
2000
13 years 11 months ago
Selective Sampling with Redundant Views
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 ...
Ion Muslea, Steven Minton, Craig A. Knoblock
ECAI
2004
Springer
14 years 3 months ago
On-Line Search for Solving Markov Decision Processes via Heuristic Sampling
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Laurent Péret, Frédérick Garc...