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ECML
2007
Springer
16 years 22 days ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
15 years 4 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
CORR
2007
Springer
124views Education» more  CORR 2007»
15 years 6 months ago
An exploratory study of Google Scholar
Purpose – This paper2 discusses the new scientific search service Google Scholar (GS). This search engine, intended for searching exclusively scholarly documents, will be descri...
Philipp Mayr, Anne-Kathrin Walter
DIAGRAMS
2006
Springer
15 years 10 months ago
Toward a Comprehensive Model of Graph Comprehension: Making the Case for Spatial Cognition
We argue that a comprehensive model of graph comprehension must include spatial cognition. We propose that current models of graph comprehension have not needed to incorporate spat...
Susan Bell Trickett, J. Gregory Trafton
SAC
2006
ACM
15 years 6 months ago
A new method of generating synchronizable test sequences that detect output-shifting faults based on multiple UIO sequences
The objective of testing is to determine the conformance between a system and its specification. When testing distributed systems, the existence of multiple testers brings out the...
Kai Chen, Fan Jiang, Chuan-dong Huang