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VLDB
2001
ACM
190views Database» more  VLDB 2001»
14 years 4 days ago
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
Michael Stillger, Guy M. Lohman, Volker Markl, Mok...
COLT
1993
Springer
13 years 11 months ago
Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers
The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis of learning problems in the PAC framework. For polynomial learnability, we seek upper bou...
Paul W. Goldberg, Mark Jerrum
COMPGEOM
2008
ACM
13 years 9 months ago
Maximum thick paths in static and dynamic environments
We consider the problem of finding a maximum number of disjoint paths for unit disks moving amidst static or dynamic obstacles. For the static case we give efficient exact algorit...
Esther M. Arkin, Joseph S. B. Mitchell, Valentin P...
ICWN
2008
13 years 9 months ago
Progressive Content-Sensitive Data Retrieval in Sensor Networks
: Problem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data)...
Bo Yang, Mareboyana Manohar, Shaoying Kou
BMCBI
2010
156views more  BMCBI 2010»
13 years 7 months ago
Mathematical model for empirically optimizing large scale production of soluble protein domains
Background: Efficient dissection of large proteins into their structural domains is critical for high throughput proteome analysis. So far, no study has focused on mathematically ...
Eisuke Chikayama, Atsushi Kurotani, Takanori Tanak...
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