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» Structured Learning with Approximate Inference
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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
13 years 10 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
AUSAI
2008
Springer
13 years 7 months ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
BMCBI
2008
118views more  BMCBI 2008»
13 years 5 months ago
Virtual screening of GPCRs: An in silico chemogenomics approach
The G-protein coupled receptor (GPCR) superfamily is currently the largest class of therapeutic targets. In silico prediction of interactions between GPCRs and small molecules is ...
Laurent Jacob, Brice Hoffmann, Véronique St...
CORR
2010
Springer
110views Education» more  CORR 2010»
13 years 5 months ago
(Unconditional) Secure Multiparty Computation with Man-in-the-middle Attacks
In secure multi-party computation n parties jointly evaluate an n-variate function f in the presence of an adversary which can corrupt up till t parties. All honest parties are req...
Shailesh Vaya
IJSWIS
2006
168views more  IJSWIS 2006»
13 years 5 months ago
Unraveling the Taste Fabric of Social Networks
Popular online social networks such as Friendster and MySpace do more than simply reveal the superficial structure of social connectedness--the rich meanings bottled within social...
Hugo Liu, Pattie Maes, Glorianna Davenport