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    ESANN
    2008
    164views Neural Networks» more  ESANN 2008»
    Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
    14 years 11 months ago
    Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
    Download  www.dice.ucl.ac.be
    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
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    JUCS
    2007
    137views more  JUCS 2007»
    An Approach to Polygonal Approximation of Digital Curves Based on Discrete Particle Swarm Algorithm
    14 years 9 months ago
    An Approach to Polygonal Approximation of Digital Curves Based on Discrete Particle Swarm Algorithm
    Download  www.jucs.org
    : An approach to polygonal approximation of regular digital curves based on PSO algorithm is presented. In this paper, each particle corresponds to a candidate solution to the poly...
    Fangmin Dong, Renbin Xiao, Yifang Zhong, Yong Liu
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    FOCS
    2008
    IEEE
    133views Theoretical Computer Science» more  FOCS 2008»
    Submodular Approximation: Sampling-based Algorithms and Lower Bounds
    15 years 4 months ago
    Submodular Approximation: Sampling-based Algorithms and Lower Bounds
    Download  www.cs.dartmouth.edu
    We introduce several generalizations of classical computer science problems obtained by replacing simpler objective functions with general submodular functions. The new problems i...
    Zoya Svitkina, Lisa Fleischer
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    MOC
    1998
    111views more  MOC 1998»
    The approximation power of moving least-squares
    14 years 9 months ago
    The approximation power of moving least-squares
    Download  www.cs.jhu.edu
    A general method for near-best approximations to functionals on Rd, using scattered-data information is discussed. The method is actually the moving least-squares method, presented...
    David Levin
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    ESANN
    2007
    129views Neural Networks» more  ESANN 2007»
    Controlling complexity of RBF networks by similarity
    14 years 11 months ago
    Controlling complexity of RBF networks by similarity
    Download  www.dice.ucl.ac.be
    Abstract. Using radial basis function networks for function approximation tasks suffers from unavailable knowledge about an adequate network size. In this work, a measuring techni...
    Ulrich Rückert, Ralf Eickhoff
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