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» Evaluating algorithms that learn from data streams
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ICA3PP
2005
Springer
15 years 12 months ago
A Deadline and Budget Constrained Scheduling Algorithm for eScience Applications on Data Grids
In this paper, we present an algorithm for scheduling of distributed data intensive Bag-of-Task applications on Data Grids that have costs associated with requesting, transferring ...
Srikumar Venugopal, Rajkumar Buyya
PDIS
1996
IEEE
15 years 10 months ago
The Strobe Algorithms for Multi-Source Warehouse Consistency
A warehouse is a data repository containing integrated information for e cient querying and analysis. Maintaining the consistency of warehouse data is challenging, especially if t...
Yue Zhuge, Hector Garcia-Molina, Janet L. Wiener
ESANN
2008
15 years 7 months ago
Learning Data Representations with Sparse Coding Neural Gas
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
Kai Labusch, Erhardt Barth, Thomas Martinetz
ICDE
2002
IEEE
181views Database» more  ICDE 2002»
15 years 11 months ago
YFilter: Efficient and Scalable Filtering of XML Documents
Soon, much of the data exchanged over the Internet will be encoded in XML, allowing for sophisticated filtering and content-based routing. We have built a filtering engine called ...
Yanlei Diao, Peter M. Fischer, Michael J. Franklin...
ML
2010
ACM
163views Machine Learning» more  ML 2010»
15 years 1 months ago
Classification with guaranteed probability of error
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
Marco C. Campi