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» Network Inference from Co-Occurrences
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NIPS
1997
13 years 9 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
SAC
2010
ACM
14 years 2 months ago
Trustworthy interaction balancing in mixed service-oriented systems
Web-based collaboration systems typically require dynamic and context-based interactions between people and services. To support such complex interaction scenarios, we introduce a...
Florian Skopik, Daniel Schall, Schahram Dustdar
BSN
2006
IEEE
131views Sensor Networks» more  BSN 2006»
14 years 1 months ago
Elaborating Sensor Data using Temporal and Spatial Commonsense Reasoning
Ubiquitous computing has established a vision of computation where computers are so deeply integrated into our lives that they become both invisible and everywhere. In order to ha...
Bo Morgan, Push Singh
BMCBI
2004
174views more  BMCBI 2004»
13 years 7 months ago
Implications for domain fusion protein-protein interactions based on structural information
Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
Jer-Ming Chia, Prasanna R. Kolatkar
ACSAC
2009
IEEE
14 years 2 months ago
An Empirical Approach to Modeling Uncertainty in Intrusion Analysis
: © An Empirical Approach to Modeling Uncertainty in Intrusion Analysis Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja Sakthivelmurugan HP Laboratories HPL-2009-334 intrusion de...
Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja S...