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» A Review of Relational Machine Learning for Knowledge Graphs
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JMLR
2010
161views more  JMLR 2010»
13 years 5 months ago
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option
Data extracted from microarrays are now considered an important source of knowledge about various diseases. Several studies based on microarray data and the use of receiver operat...
Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Bla...
EDOC
2009
IEEE
14 years 2 months ago
Monitoring and Analyzing Influential Factors of Business Process Performance
Abstract--Business activity monitoring enables continuous observation of key performance indicators (KPIs). However, if things go wrong, a deeper analysis of process performance be...
Branimir Wetzstein, Philipp Leitner, Florian Rosen...
EUROCRYPT
2003
Springer
14 years 4 months ago
Facts and Myths of Enigma: Breaking Stereotypes
In spite of a relatively large number of publications about breaking Enigma by the Allies before and during the World War II, this subject remains relatively unknown not only to th...
Kris Gaj, Arkadiusz Orlowski
BMCBI
2006
119views more  BMCBI 2006»
13 years 11 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
CVPR
2006
IEEE
15 years 1 months ago
A Generative-Discriminative Hybrid Method for Multi-View Object Detection
We present a novel discriminative-generative hybrid approach in this paper, with emphasis on application in multiview object detection. Our method includes a novel generative mode...
DongQing Zhang, Shih-Fu Chang