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    CLEIEJ
    2007
    152views more  CLEIEJ 2007»
    Gene Expression Analysis using Markov Chains extracted from RNNs
    13 years 7 months ago
    Gene Expression Analysis using Markov Chains extracted from RNNs
    Download  www.clei.cl
    Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
    Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
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    TON
    2012
    198views Programming Languages» more  TON 2012»
    Scalable Lookahead Regular Expression Detection System for Deep Packet Inspection
    11 years 9 months ago
    Scalable Lookahead Regular Expression Detection System for Deep Packet Inspection
    Download  eeweb.poly.edu
    —Regular expressions (RegExes) are widely used, yet their inherent complexity often limits the total number of RegExes that can be detected using a single chip for a reasonable t...
    Masanori Bando, N. Sertac Artan, H. Jonathan Chao
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    CORR
    2010
    Springer
    90views Education» more  CORR 2010»
    Logical complexity of graphs: a survey
    13 years 7 months ago
    Logical complexity of graphs: a survey
    Download  www.cs.technion.ac.il
    We discuss the definability of finite graphs in first-order logic with two relation symbols for adjacency and equality of vertices. The logical depth D(G) of a graph G is equal to ...
    Oleg Pikhurko, Oleg Verbitsky
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    ANCS
    2007
    ACM
    133views Computer Networks» more  ANCS 2007»
    An improved algorithm to accelerate regular expression evaluation
    13 years 11 months ago
    An improved algorithm to accelerate regular expression evaluation
    Download  www.arl.wustl.edu
    Modern network intrusion detection systems need to perform regular expression matching at line rate in order to detect the occurrence of critical patterns in packet payloads. Whil...
    Michela Becchi, Patrick Crowley
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    TCOM
    2008
    84views more  TCOM 2008»
    On the Performance of Closed-Loop Transmit Diversity with Noisy Channel Estimates and Finite-Depth Interleaved Convolutional Cod
    13 years 7 months ago
    On the Performance of Closed-Loop Transmit Diversity with Noisy Channel Estimates and Finite-Depth Interleaved Convolutional Cod
    Download  zeidler.ucsd.edu
    Abstract-- In this paper, closed-form expressions for the uncoded bit error probability of closed-loop transmit diversity (CLTD) algorithms with two transmit and one receive antenn...
    Jittra Jootar, James R. Zeidler, John G. Proakis
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