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JMLR
2010
128views more  JMLR 2010»
15 years 1 months ago
Learning Causal Structure from Overlapping Variable Sets
We present an algorithm name cSAT+ for learning the causal structure in a domain from datasets measuring different variable sets. The algorithm outputs a graph with edges correspo...
Sofia Triantafilou, Ioannis Tsamardinos, Ioannis G...
SDM
2008
SIAM
147views Data Mining» more  SDM 2008»
15 years 8 months ago
The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data Mining
It has long been noted that many data mining algorithms can be built on top of join algorithms. This has lead to a wealth of recent work on efficiently supporting such joins with ...
Lexiang Ye, Xiaoyue Wang, Dragomir Yankov, Eamonn ...
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 8 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
PROCEDIA
2010
138views more  PROCEDIA 2010»
15 years 1 months ago
Using the reconfigurable massively parallel architecture COPACOBANA 5000 for applications in bioinformatics
Currently several computational problems require high processing power to handle huge amounts of data, although underlying core algorithms appear to be rather simple. Especially i...
Lars Wienbrandt, Stefan Baumgart, Jost Bissel, Car...
ICCV
2009
IEEE
16 years 11 months ago
A Theory of Active Object Localization
We present some theoretical results related to the problem of actively searching for a target in a 3D environment, under the constraint of a maximum search time. We define the o...
Alexander Andreopoulos, John K. Tsotsos