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    IPM
    2008
    75views more  IPM 2008»
    Single-document and multi-document summarization techniques for email threads using sentence compression
    13 years 9 months ago
    Single-document and multi-document summarization techniques for email threads using sentence compression
    Download  www.umiacs.umd.edu
    We present two approaches to email thread summarization: Collective Message Summarization (CMS) applies a multi-document summarization approach, while Individual Message Summariza...
    David M. Zajic, Bonnie J. Dorr, Jimmy J. Lin
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    SIAMJO
    2008
    104views more  SIAMJO 2008»
    A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
    13 years 9 months ago
    A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
    Download  www.stanford.edu
    This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
    Seung-Jean Kim, Stephen P. Boyd
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    AIR
    2005
    85views more  AIR 2005»
    On Paradox of Fuzzy Modeling: Supervised Learning for Rectifying Fuzzy Membership Function
    13 years 9 months ago
    On Paradox of Fuzzy Modeling: Supervised Learning for Rectifying Fuzzy Membership Function
    Download  naoce.sjtu.edu.cn
    The paradox of fuzzy modeling is recognized due to the co-existence of its effectiveness of solving uncertain problems in the real world and the skepticism of its reasonability in ...
    Shaopei Lin
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    TIT
    2008
    102views more  TIT 2008»
    State Estimation With Initial State Uncertainty
    13 years 9 months ago
    State Estimation With Initial State Uncertainty
    Download  www.wireless.ece.ufl.edu
    Abstract--The problem of state estimation with initial state uncertainty is approached from a statistical decision theory point of view. The initial state is regarded as determinis...
    Yoav Levinbook, Tan F. Wong
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    TSP
    2008
    102views more  TSP 2008»
    Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
    13 years 9 months ago
    Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
    Download  www.cs.tut.fi
    Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
    Vladimir Katkovnik, Vladimir Spokoiny
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