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» The Discrete Basis Problem
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ESANN
2008
15 years 4 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»
15 years 1 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»
15 years 3 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
15 years 8 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
16 years 5 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