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JMLR
2012
11 years 10 months ago
UPAL: Unbiased Pool Based Active Learning
In this paper we address the problem of pool based active learning, and provide an algorithm, called UPAL, that works by minimizing the unbiased estimator of the risk of a hypothe...
Ravi Ganti, Alexander Gray
GRID
2003
Springer
14 years 1 months ago
On-Demand Grid Application Tuning and Debugging with the NetLogger Activation Service
Typical Grid computing scenarios involve many distributed hardware and software components. The more components that are involved, the more likely it is that one of them may fail....
Dan Gunter, Brian Tierney, Craig E. Tull, Vibha Vi...
WEBDB
2000
Springer
135views Database» more  WEBDB 2000»
13 years 11 months ago
Active Query Caching for Database Web Servers
A substantial portion of web traffic consists of queries to database web servers. Unfortunately, a common technique to improve web scalability, proxy caching, is ineffective for da...
Qiong Luo, Jeffrey F. Naughton, Rajasekar Krishnam...
BDA
2007
13 years 9 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...
SEBD
2008
306views Database» more  SEBD 2008»
13 years 9 months ago
Instance Matching for Ontology Population
In the context of ontology evolution, ontology population is the activity of acquiring new semantic descriptions of data extracted from heterogeneous data sources. To this end, the...
Silvana Castano, Alfio Ferrara, Stefano Montanelli...