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    SDM
    2008
    SIAM
    138views Data Mining» more  SDM 2008»
    Learning Markov Network Structure using Few Independence Tests
    13 years 10 months ago
    Learning Markov Network Structure using Few Independence Tests
    Download  www.cs.cmu.edu
    In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
    Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
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    BMCBI
    2008
    146views more  BMCBI 2008»
    Rank-based edge reconstruction for scale-free genetic regulatory networks
    13 years 9 months ago
    Rank-based edge reconstruction for scale-free genetic regulatory networks
    Download  www.biomedcentral.com
    Background: The reconstruction of genetic regulatory networks from microarray gene expression data has been a challenging task in bioinformatics. Various approaches to this proble...
    Guanrao Chen, Peter Larsen, Eyad Almasri, Yang Dai
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    NC
    2008
    122views Neural Networks» more  NC 2008»
    Computation with finite stochastic chemical reaction networks
    13 years 9 months ago
    Computation with finite stochastic chemical reaction networks
    Download  www.paradise.caltech.edu
    A highly desired part of the synthetic biology toolbox is an embedded chemical microcontroller, capable of autonomously following a logic program specified by a set of instructions...
    David Soloveichik, Matthew Cook, Erik Winfree, Jeh...
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    PAMI
    2008
    190views more  PAMI 2008»
    Scene Classification Using a Hybrid Generative/Discriminative Approach
    13 years 9 months ago
    Scene Classification Using a Hybrid Generative/Discriminative Approach
    Download  cvcl.mit.edu
    We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
    Anna Bosch, Andrew Zisserman, Xavier Muñoz
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    JAL
    2002
    113views more  JAL 2002»
    A multivariate view of random bucket digital search trees
    13 years 8 months ago
    A multivariate view of random bucket digital search trees
    Download  algo.stat.sinica.edu.tw
    We take a multivariate view of digital search trees by studying the number of nodes of different types that may coexist in a bucket digital search tree as it grows under an arbitr...
    Friedrich Hubalek, Hsien-Kuei Hwang, William Lew, ...
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