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ICA
2010
Springer
13 years 7 months ago
Time Series Causality Inference Using Echo State Networks
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
Norbert Michael Mayer, Oliver Obst, Chang Yu-Chen
AMAST
2006
Springer
14 years 5 days ago
Testing Semantics: Connecting Processes and Process Logics
We propose a methodology based on testing as a framework to capture the interactions of a machine represented in a denotational model and the data it manipulates. Using a duality t...
Dusko Pavlovic, Michael W. Mislove, James Worrell
JUCS
2007
117views more  JUCS 2007»
13 years 8 months ago
Connectivity and Reachability in Signed Networks
: For modeling real-life situations where not only the intensity of the relation existing between elements but also its polarity is important, we have proposed (see [Marcus and Tat...
Monica Tataram
ICML
2003
IEEE
14 years 9 months ago
Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries
Many techniques in the social sciences and graph theory deal with the problem of examining and analyzing patterns found in the underlying structure and associations of a group of ...
Jeremy Kubica, Andrew W. Moore, David Cohn, Jeff G...
ASC
2011
13 years 3 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa