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» Reconstruction of Spectra Using Empirical Basis Functions
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ESANN
2008
13 years 6 months ago
Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
Victor Uc Cetina
SMI
2003
IEEE
223views Image Analysis» more  SMI 2003»
13 years 10 months ago
Skeleton Extraction of 3D Objects with Radial Basis Functions
Skeleton is a lower dimensional shape description of an object. The requirements of a skeleton differ with applications. For example, object recognition requires skeletons with pr...
Wan-Chun Ma, Fu-Che Wu, Ming Ouhyoung
ICMLA
2008
13 years 6 months ago
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Sertan Girgin, Philippe Preux
KES
2006
Springer
13 years 5 months ago
Stock Index Modeling Using Hierarchical Radial Basis Function Networks
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...
Yuehui Chen, Lizhi Peng, Ajith Abraham
IUI
2000
ACM
13 years 9 months ago
Creating an empirical basis for adaptation decisions
CT How can an adaptive intelligent interface decide what particular action to perform in a given situation, as a function of perceived properties of the user and the situation? Ide...
Anthony Jameson, Barbara Großmann-Hutter, Le...