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    BMCBI
    2007
    198views more  BMCBI 2007»
    Correlation analysis reveals the emergence of coherence in the gene expression dynamics following system perturbation
    13 years 8 months ago
    Correlation analysis reveals the emergence of coherence in the gene expression dynamics following system perturbation
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    Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measu...
    Nicola Neretti, Daniel Remondini, Marc Tatar, John...
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    JMLR
    2008
    230views more  JMLR 2008»
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    13 years 8 months ago
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    Download  www.stat.berkeley.edu
    Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
    Michael Collins, Amir Globerson, Terry Koo, Xavier...
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    NIPS
    2007
    267views Information Technology» more  NIPS 2007»
    People Tracking with the Laplacian Eigenmaps Latent Variable Model
    13 years 10 months ago
    People Tracking with the Laplacian Eigenmaps Latent Variable Model
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    Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
    Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
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    CIDR
    2007
    165views Algorithms» more  CIDR 2007»
    A Black-Box Approach to Query Cardinality Estimation
    13 years 10 months ago
    A Black-Box Approach to Query Cardinality Estimation
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    We present a “black-box” approach to estimating query cardinality that has no knowledge of query execution plans and data distribution, yet provides accurate estimates. It doe...
    Tanu Malik, Randal C. Burns, Nitesh V. Chawla
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    NIPS
    2007
    201views Information Technology» more  NIPS 2007»
    Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
    13 years 10 months ago
    Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
    Download  books.nips.cc
    We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
    Maryam Mahdaviani, Tanzeem Choudhury
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