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ICMLA
2008
15 years 8 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
CORR
2008
Springer
64views Education» more  CORR 2008»
15 years 7 months ago
Implementing general belief function framework with a practical codification for low complexity
In this chapter, we propose a new practical codification of the elements of the Venn diagram in order to easily manipulate the focal elements. In order to reduce the complexity, t...
Arnaud Martin
ENTCS
2006
162views more  ENTCS 2006»
15 years 7 months ago
Continuous Functions on Final Coalgebras
It can be traced back to Brouwer that continuous functions of type StrA B, where StrA is the type of infinite streams over elements of A, can be represented by well founded, Abra...
Neil Ghani, Peter Hancock, Dirk Pattinson
ICIP
2010
IEEE
15 years 5 months ago
Tensor-based image diffusions derived from generalizations of the Total Variation and Beltrami Functionals
We introduce a novel functional for vector-valued images that generalizes several variational methods, such as the Total Variation and Beltrami Functionals. This functional is bas...
Anastasios Roussos, Petros Maragos
ECCV
2000
Springer
16 years 9 months ago
Euclidean Group Invariant Computation of Stochastic Completion Fields Using Shiftable-Twistable Functions
We describe a method for computing the likelihood that a completion joining two contour fragments passes through any given position and orientation in the image plane, that is, a m...
John W. Zweck, Lance R. Williams