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» Inference Algorithms for Similarity Networks
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SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
15 years 10 months ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande
ICANN
2005
Springer
15 years 3 months ago
Informational Energy Kernel for LVQ
We describe a kernel method which uses the maximization of Onicescu’s informational energy as a criteria for computing the relevances of input features. This adaptive relevance d...
Angel Cataron, Razvan Andonie
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
15 years 3 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 2 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
APGV
2010
ACM
266views Visualization» more  APGV 2010»
15 years 1 months ago
Horizon estimation: perceptual and computational experiments
The human visual system is able to quickly and robustly infer a wealth of scene information – the scene "gist" – already after 100 milliseconds of image presentation...
Christian Herdtweck, Christian Wallraven