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WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
14 years 4 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 7 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
CHI
2007
ACM
14 years 7 months ago
Authoring sensor-based interactions by demonstration with direct manipulation and pattern recognition
Sensors are becoming increasingly important in interaction design. Authoring a sensor-based interaction comprises three steps: choosing and connecting the appropriate hardware, cr...
Björn Hartmann, Leith Abdulla, Manas Mittal, ...
PEPM
2004
ACM
14 years 21 days ago
Dynamic slicing based on redex trails
Tracing computations is a widely used methodology for program debugging. Lazy languages, in particular, pose new demands on tracing techniques since following the actual trace of ...
Claudio Ochoa, Josep Silva, Germán Vidal
ICCV
2007
IEEE
14 years 9 months ago
Adaptive enhancement and noise reduction in very low light-level video
A general methodology for noise reduction and contrast enhancement in very noisy image data with low dynamic range is presented. Video footage recorded in very dim light is especi...
Henrik Malm, Magnus Oskarsson, Eric Warrant, Petri...