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AMC
2008
99views more  AMC 2008»
15 years 6 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
COGSCI
2006
117views more  COGSCI 2006»
15 years 6 months ago
A Model of Plausibility
Plausibility has been implicated as playing a critical role in many cognitive phenomena from comprehension to problem solving. Yet, across cognitive science, plausibility is usual...
Louise Connell, Mark T. Keane
ICIRA
2010
Springer
124views Robotics» more  ICIRA 2010»
15 years 5 months ago
Evaluating the Fuzzy Coverage Model for 3D Multi-camera Network Applications
An intuitive three-dimensional task-oriented coverage model for 3D multi-camera networks based on fuzzy sets is presented. The model captures the vagueness inherent in the concept ...
Aaron Mavrinac, Jose Luis Alarcon Herrera, Xiang C...
ETFA
2008
IEEE
16 years 1 months ago
From monotone inequalities to Model Predictive Control
The dater equalities constitute a well-known tool which allows the description of Timed Event Graphs in the field of (max, +) algebra. This paper gives an equivalent model in the...
Abdelhak Guezzi, Philippe Declerck, Jean-Louis Boi...
ICCS
2007
Springer
16 years 21 days ago
Towards a Complex Automata Framework for Multi-scale Modeling: Formalism and the Scale Separation Map
Complex Automata were recently proposed as a paradigm to model multi-scale complex systems. The concept is formalized and the scale separation map is further investigated in relati...
Alfons G. Hoekstra, Eric Lorenz, Jean-Luc Falcone,...