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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 8 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 2 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 8 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 6 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 4 months ago
Static and dynamic models of biological networks
Ashish Bhan, Eric Mjolsness