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    » Structured Context Prediction: A Generic Approach
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    ICFP
    2006
    ACM
    122views Programming Languages» more  ICFP 2006»
    An object-oriented approach to datatype-generic programming
    14 years 7 months ago
    An object-oriented approach to datatype-generic programming
    Download  www.cs.kuleuven.be
    Datatype-generic programming (DGP) is the next step beyond abstracting over types using parametric polymorphism, which is often called "genericity" in object-oriented la...
    Adriaan Moors, Frank Piessens, Wouter Joosen
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    CODES
    2006
    IEEE
    142views Software Engineering» more  CODES 2006»
    Generic netlist representation for system and PE level design exploration
    14 years 1 months ago
    Generic netlist representation for system and PE level design exploration
    Download  www.cecs.uci.edu
    Designer productivity and design predictability are vital factors for successful embedded system design. Shrinking time-to-market and increasing complexity of these systems requir...
    Bita Gorjiara, Mehrdad Reshadi, Pramod Chandraiah,...
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    ISMB
    1994
    138views Computational Biology» more  ISMB 1994»
    Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars
    13 years 8 months ago
    Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars
    Download  www.bic.kyoto-u.ac.jp
    We describe and demonstrate the effectiveness of a method of predicting protein secondary structures, sheet regions in particular, using a class of stochastic tree grammars as rep...
    Hiroshi Mamitsuka, Naoki Abe
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    EWSPT
    2003
    Springer
    143views Software Engineering» more  EWSPT 2003»
    Providing Highly Automated and Generic Means for Software Deployment Process
    14 years 21 days ago
    Providing Highly Automated and Generic Means for Software Deployment Process
    Download  www-adele.imag.fr
    We present a new approach for the management and enactment of deployment process by a deployment processor ORYA (Open enviRonment to deploY Applications). ORYA aims to integrate te...
    Vincent Lestideau, Noureddine Belkhatir
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    BMCBI
    2011
    273views Artificial Intelligence» more  BMCBI 2011»
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
    12 years 11 months ago
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
    Download  www.biomedcentral.com
    Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
    Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
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