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» Dynamic and Static Influence Models on Starbucks Networks
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BSN
2006
IEEE
150views Sensor Networks» more  BSN 2006»
13 years 11 months ago
Multi-sensor Data Fusion Using the Influence Model
System robustness against individual sensor failures is an important concern in multi-sensor networks. Unfortunately, the complexity of using the remaining sensors to interpolate ...
Wen Dong, Alex Pentland
ICDM
2010
IEEE
212views Data Mining» more  ICDM 2010»
13 years 5 months ago
Modeling Information Diffusion in Implicit Networks
Social media forms a central domain for the production and dissemination of real-time information. Even though such flows of information have traditionally been thought of as diffu...
Jaewon Yang, Jure Leskovec
ICASSP
2011
IEEE
12 years 11 months ago
Audio recognition in the wild: Static and dynamic classification on a real-world database of animal vocalizations
We present a study on purely data-based recognition of animal sounds, performing evaluation on a real-world database obtained from the Humboldt-University Animal Sound Archive. As...
Felix Weninger, Björn Schuller
ICWSM
2010
13 years 9 months ago
Sequential Influence Models in Social Networks
The spread of influence among individuals in a social network can be naturally modeled in a probabilistic framework, but it is challenging to reason about differences between vari...
Dan Cosley, Daniel P. Huttenlocher, Jon M. Kleinbe...
COMPLEXITY
2006
83views more  COMPLEXITY 2006»
13 years 7 months ago
Static and dynamic models of biological networks
Ashish Bhan, Eric Mjolsness