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114
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IBERAMIA
2010
Springer
14 years 11 months ago
Interaction Graphs for Multivariate Binary Data
We define a class of graphs that summarize in a compact visual way the interaction structure between binary multivariate characteristics. This allows studying the conditional depe...
Johan Van Horentonioeek, Jesús Emeterio Nav...
94
Voted
INFOCOM
2009
IEEE
15 years 7 months ago
Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference
—A novel formulation for optimal sensor selection and in-network fusion for distributed inference known as the prizecollecting data fusion (PCDF) is proposed in terms of optimal ...
Animashree Anandkumar, Meng Wang, Lang Tong, Anant...
102
Voted
ICDM
2009
IEEE
142views Data Mining» more  ICDM 2009»
14 years 10 months ago
Building Classifiers with Independency Constraints
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
Toon Calders, Faisal Kamiran, Mykola Pechenizkiy
100
Voted
DC
2010
15 years 19 days ago
Refined quorum systems
It is considered good distributed computing practice to devise object implementations that tolerate contention, periods of asynchrony and a large number of failures, but perform f...
Rachid Guerraoui, Marko Vukolic
SIMUTOOLS
2008
15 years 2 months ago
Snoopy: a tool to design and animate/simulate graph-based formalisms
We sketch the fundamental properties and features of Snoopy, a tool to model and execute (animate, simulate) hierarchical graph-based system descriptions. The tool comes along wit...
Monika Heiner, Ronny Richter, Martin Schwarick