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AIA
2006
15 years 6 months ago
A Recurrent Neural Filter for Adaptive Noise Cancellation
This paper presents a dynamic neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by use of th...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
AMC
2008
99views more  AMC 2008»
15 years 4 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
AR
2006
48views more  AR 2006»
15 years 4 months ago
Passive compliance for a RC servo-controlled bouncing robot
A novel and low-cost passively compliant mechanism is described that can be used with RC servos to actuate legged robots in tasks involving high dynamic loads such as bouncing. Com...
Friedrich Meyer, Alexander Spröwitz, Luc Bert...
EOR
2006
97views more  EOR 2006»
15 years 4 months ago
Bayesian portfolio selection with multi-variate random variance models
We consider multi-period portfolio selection problems for a decision maker with a specified utility function when the variance of security returns is described by a discrete time ...
Refik Soyer, Kadir Tanyeri
MOR
2006
94views more  MOR 2006»
15 years 4 months ago
Conditional Risk Mappings
We introduce an axiomatic definition of a conditional convex risk mapping and we derive its properties. In particular, we prove a representation theorem for conditional risk mappi...
Andrzej Ruszczynski, Alexander Shapiro