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» Generic Model Refactorings
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ICML
2006
IEEE
16 years 2 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
ICSE
2008
IEEE-ACM
16 years 2 months ago
jPredictor: a predictive runtime analysis tool for java
JPREDICTOR is a tool for detecting concurrency errors in JAVA programs. The JAVA program is instrumented to emit property-relevant events at runtime and then executed. The resulti...
Feng Chen, Traian-Florin Serbanuta, Grigore Rosu
WWW
2008
ACM
16 years 2 months ago
Querying for meta knowledge
The Semantic Web is based on accessing and reusing RDF data from many different sources, which one may assign different levels of authority and credibility. Existing Semantic Web ...
Bernhard Schueler, Sergej Sizov, Steffen Staab, Du...
138
Voted
KDD
2007
ACM
137views Data Mining» more  KDD 2007»
16 years 2 months ago
Characterising the difference
Characterising the differences between two databases is an often occurring problem in Data Mining. Detection of change over time is a prime example, comparing databases from two b...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
123
Voted
KDD
2003
ACM
162views Data Mining» more  KDD 2003»
16 years 2 months ago
Improving spatial locality of programs via data mining
In most computer systems, page fault rate is currently minimized by generic page replacement algorithms which try to model the temporal locality inherent in programs. In this pape...
Karlton Sequeira, Mohammed Javeed Zaki, Boleslaw K...