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    ASPDAC
    2005
    ACM
    101views Hardware» more  ASPDAC 2005»
    A wideband hierarchical circuit reduction for massively coupled interconnects
    13 years 9 months ago
    A wideband hierarchical circuit reduction for massively coupled interconnects
    Download  www.ee.ucr.edu
    — We develop a realizable circuit reduction to generate the interconnect macro-model for parasitic estimation in wideband applications. The inductance is represented by VPEC (vec...
    Hao Yu, Lei He, Zhenyu Qi, Sheldon X.-D. Tan
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    IJCAI
    2007
    161views Artificial Intelligence» more  IJCAI 2007»
    Simple Training of Dependency Parsers via Structured Boosting
    13 years 8 months ago
    Simple Training of Dependency Parsers via Structured Boosting
    Download  www.ijcai.org
    Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
    Qin Iris Wang, Dekang Lin, Dale Schuurmans
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    MASCOTS
    2008
    112views Modeling And Simulation» more  MASCOTS 2008»
    Finding Good Configurations in High-Dimensional Spaces: Doing More with Less
    13 years 8 months ago
    Finding Good Configurations in High-Dimensional Spaces: Doing More with Less
    Download  www.cs.duke.edu
    Manually tuning tens to hundreds of configuration parameters in a complex software system like a database or an application server is an arduous task. Recent work has looked into ...
    Risi Thonangi, Vamsidhar Thummala, Shivnath Babu
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    NIPS
    2008
    161views Information Technology» more  NIPS 2008»
    Partially Observed Maximum Entropy Discrimination Markov Networks
    13 years 8 months ago
    Partially Observed Maximum Entropy Discrimination Markov Networks
    Download  www.cs.cmu.edu
    Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
    Jun Zhu, Eric P. Xing, Bo Zhang
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    SDM
    2008
    SIAM
    150views Data Mining» more  SDM 2008»
    A Stagewise Least Square Loss Function for Classification
    13 years 8 months ago
    A Stagewise Least Square Loss Function for Classification
    Download  nlpr-web.ia.ac.cn
    This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
    Shuang-Hong Yang, Bao-Gang Hu
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