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    ISPD
    2012
    ACM
    248views Hardware» more  ISPD 2012»
    A fast estimation of SRAM failure rate using probability collectives
    12 years 6 months ago
    A fast estimation of SRAM failure rate using probability collectives
    Download  eda.ee.ucla.edu
    Importance sampling is a popular approach to estimate rare event failures of SRAM cells. We propose to improve importance sampling by probability collectives. First, we use “Kul...
    Fang Gong, Sina Basir-Kazeruni, Lara Dolecek, Lei ...
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    LSSC
    2007
    Springer
    236views Applied Computing» more  LSSC 2007»
    Comments on the GMRES Convergence for Preconditioned Systems
    14 years 5 months ago
    Comments on the GMRES Convergence for Preconditioned Systems
    Download  www.irisa.fr
    Abstract. The purpose of this paper is to comment a frequent observation by the engineers studying acoustic scattering. It is related to the convergence of the GMRES method when so...
    Nabil Gmati, Bernard Philippe
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    GLOBECOM
    2008
    IEEE
    165views Communications» more  GLOBECOM 2008»
    Second Order Distributed Consensus Time Synchronization Algorithm for Wireless Sensor Networks
    14 years 5 months ago
    Second Order Distributed Consensus Time Synchronization Algorithm for Wireless Sensor Networks
    Download  www.lehigh.edu
    Abstract—This paper proposes a novel discrete time secondorder distributed consensus time synchronization (SO-DCTS) algorithm for wireless sensor networks. The consensus properti...
    Gang Xiong, Shalinee Kishore
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    MOC
    1998
    89views more  MOC 1998»
    Approximation of continuous time stochastic processes by a local linearization method
    13 years 10 months ago
    Approximation of continuous time stochastic processes by a local linearization method
    Download  www.ams.org
    This paper investigates the rate of convergence of an alternative approximation method for stochastic differential equations. The rates of convergence of the one-step and multi-st...
    Isao Shoji
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    JMLR
    2012
    187views Programming Languages» more  JMLR 2012»
    Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
    12 years 1 months ago
    Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
    Download  www.eecs.berkeley.edu
    Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
    Garvesh Raskutti, Martin J. Wainwright, Bin Yu
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