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ENTCS
2006
118views more  ENTCS 2006»
13 years 5 months ago
Domain Theoretic Solutions of Initial Value Problems for Unbounded Vector Fields
This paper extends the domain theoretic method for solving initial value problems, described in [8], to unbounded vector fields. Based on a sequence of approximations of the vecto...
Abbas Edalat, Dirk Pattinson
ICMLA
2008
13 years 7 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
AAAI
2006
13 years 7 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
TVCG
2008
144views more  TVCG 2008»
13 years 5 months ago
Spherical Piecewise Constant Basis Functions for All-Frequency Precomputed Radiance Transfer
This paper presents a novel basis function, called spherical piecewise constant basis function (SPCBF), for precomputed radiance transfer. SPCBFs have several desirable properties:...
Kun Xu, Yun-Tao Jia, Hongbo Fu, Shi-Min Hu, Chiew-...
ISCAS
2006
IEEE
96views Hardware» more  ISCAS 2006»
13 years 11 months ago
On the initialization of the DNMF algorithm
— A subspace supervised learning algorithm named Discriminant Non-negative Matrix Factorization (DNMF) has been recently proposed for classifying human facial expressions. It dec...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas