5463 search results - page 39 / 1093 » Evaluating algorithms that learn from data streams |
76
Voted
COCOON
2005
Springer
15 years 3 months ago
2005
Springer
In this paper, we present algorithms and lower bounds for the Longest Increasing Subsequence (LIS) and Longest Common Subsequence (LCS) problems in the data streaming model. For t...
122
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DAWAK
2006
Springer
15 years 1 months ago
2006
Springer
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
91
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MOBISYS
2009
ACM
15 years 10 months ago
2009
ACM
The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications ...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
72
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PAMI
2008
14 years 10 months ago
2008
We consider the problem of learning a ranking function that maximizes a generalization of the Wilcoxon-Mann-Whitney statistic on the training data. Relying on an -accurate approxim...