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AUTOMATICA
1999
45views more  AUTOMATICA 1999»
15 years 6 months ago
Robust adaptive control of uncertain discrete-time systems
In this paper, a robust adaptive controller for a class of nonlinear uncertain discrete-time systems is developed by combining the backstepping procedures with a simple parameter ...
Ying Zhang, Changyun Wen, Yeng Chai Soh
JMIV
2002
78views more  JMIV 2002»
15 years 6 months ago
A Deformable Template Model, with Special Reference to Elliptical Templates
This paper suggests a high-level continuous image model for planar star-shaped objects. Under this model, a planar object is a stochastic deformation of a star-shaped template. The...
Asger Hobolth, Jan Pedersen, Eva B. Vedel Jensen
NECO
2002
78views more  NECO 2002»
15 years 6 months ago
Local Overfitting Control via Leverages
We present a novel approach to dealing with overfitting in black-box models. It is based on the leverages of the samples, i.e. on the influence that each observation has on the pa...
Gaétan Monari, Gérard Dreyfus
TNN
1998
112views more  TNN 1998»
15 years 6 months ago
A class of competitive learning models which avoids neuron underutilization problem
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
Clifford Sze-Tsan Choy, Wan-Chi Siu
NN
2007
Springer
105views Neural Networks» more  NN 2007»
15 years 6 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling