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HIS
2004
15 years 8 months ago
Neural Networks and Belief Logic
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there...
Yuan Yan Chen, Joseph J. Chen
IAT
2008
IEEE
15 years 6 months ago
Scaling Up Multi-agent Reinforcement Learning in Complex Domains
TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (...
Dan Xiao, Ah-Hwee Tan
CN
2007
111views more  CN 2007»
15 years 6 months ago
Advances in smart cards
Since the turn of the century, smart card technology has pushed its borders both on the high end to integrate new functionalities (e.g., networking) and on the low end to adapt to...
Josep Domingo-Ferrer, Joachim Posegga, Francesc Se...
JMLR
2010
136views more  JMLR 2010»
15 years 1 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
IJCAI
2001
15 years 8 months ago
Qualitative Simulation of Genetic Regulatory Networks: Method and Application
Computer modeling and simulation are indispensable for understanding the functioning of an organism on a molecular level. We present an implemented method for the qualitative simu...
Hidde de Jong, Michel Page, Céline Hernande...