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» The Discrete Basis Problem
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ESANN
2008
13 years 11 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
SIAMSC
2010
157views more  SIAMSC 2010»
13 years 8 months ago
Certified Reduced Basis Methods and Output Bounds for the Harmonic Maxwell's Equations
We propose certified reduced basis methods for the efficient and reliable evaluation of a general output that is implicitly connected to a given parameterized input through the ha...
Yanlai Chen, Jan S. Hesthaven, Yvon Maday, Jer&oac...
TOMACS
2008
91views more  TOMACS 2008»
13 years 9 months ago
On constructing optimistic simulation algorithms for the discrete event system specification
abstractly; it is intended to provide a basis for implementing efficient and scalable parallel algorithms that correctly simulate DEVS models. Categories and Subject Descriptors: I...
James J. Nutaro
ASIACRYPT
2005
Springer
14 years 3 months ago
Discrete-Log-Based Signatures May Not Be Equivalent to Discrete Log
Abstract We provide evidence that the unforgeability of several discrete-log based signatures like Schnorr signatures cannot be equivalent to the discrete log problem in the standa...
Pascal Paillier, Damien Vergnaud
CVPR
2004
IEEE
14 years 11 months ago
Joint Feature-Basis Subset Selection
We treat feature selection and basis selection in a unified framework by introducing the masking matrix. If one considers feature selection as finding a binary mask vector that de...
Shai Avidan