257 search results - page 17 / 52 » An Approximate L1-Difference Algorithm for Massive Data Stre... |
127
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JMLR
2012
13 years 2 days ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
ICDE
2010
IEEE
15 years 9 months ago
2010
IEEE
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
SIGMOD
2010
ACM
15 years 2 months ago
2010
ACM
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
SIGMOD
2003
ACM
15 years 9 months ago
2003
ACM
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. In ...
176
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ICDT
2009
ACM
15 years 10 months ago
2009
ACM
In this paper we investigate algorithms and lower bounds for summarization problems over a single pass data stream. In particular we focus on histogram construction and K-center c...