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TSMC
2010
13 years 2 months ago
Interaction Modeling and Prediction in Smart Spaces: A Bio-Inspired Approach Based on Autobiographical Memory
In Smart Spaces (SSs), the capability of learning from experience is fundamental for autonomous adaptation to environmental changes and for proactive interaction with users. New re...
Alessio Dore, Andrea F. Cattoni, Carlo S. Regazzon...
ICCS
2007
Springer
14 years 1 months ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
WSC
2008
13 years 9 months ago
A simplified modeling approach for human system interaction
Despite increasing dependency on technology, the importance of humans is expected to increase and to provide a realistic basis for decision support; both technical and organizatio...
Torbjorn P. E. Ilar
BMCBI
2010
176views more  BMCBI 2010»
13 years 7 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
FUIN
2008
119views more  FUIN 2008»
13 years 7 months ago
Modeling Communication with Synchronized Environments
A deterministic behavior of systems composed of several modules is a desirable design goal. Assembling a complex system from components requires also a high degree of re-usability....
Tiberiu Seceleanu, Axel Jantsch