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AMC
2008
99views more  AMC 2008»
15 years 7 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
UM
2005
Springer
16 years 27 days ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren
GCC
2004
Springer
16 years 24 days ago
A Novel VO-Based Access Control Model for Grid
As an important aspect of grid security, access control model gets more and more attention. Entities in virtual organizations (VOs) must establish a dynamic, secure and cooperative...
Weizhong Qiang, Hai Jin, Xuanhua Shi, Deqing Zou
PRIS
2001
15 years 8 months ago
Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models
This paper addresses the problem of tracking objects with complex motion dynamics or shape changes. It is assumed that some of the visual features detected in the image (e.g., edg...
Jacinto C. Nascimento, Jorge S. Marques
RIVF
2003
15 years 8 months ago
Complex Systems Modeling
—This paper addresses the simulation of the dynamics of complex systems by using hierarchical graph and multi-agent system. A complex system is composed of numerous interacting p...
Christophe Lecerf, Thi Minh Luan Nguyen