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    FOCM
    2008
    140views more  FOCM 2008»
    Online Gradient Descent Learning Algorithms
    13 years 5 months ago
    Online Gradient Descent Learning Algorithms
    Download  www.cs.ucl.ac.uk
    This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without explicit regularization. We present a novel capacity i...
    Yiming Ying, Massimiliano Pontil
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    COLT
    1995
    Springer
    95views Machine Learning» more  COLT 1995»
    Online Learning via Congregational Gradient Descent
    13 years 8 months ago
    Online Learning via Congregational Gradient Descent
    Download  eceserv0.ece.wisc.edu
    Kim L. Blackmore, Robert C. Williamson, Iven M. Y....
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    ACL
    2012
    225views Computational Linguistics» more  ACL 2012»
    Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection
    11 years 7 months ago
    Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection
    Download  aclweb.org
    We present a joint model for Chinese word segmentation and new word detection. We present high dimensional new features, including word-based features and enriched edge (label-tra...
    Xu Sun, Houfeng Wang, Wenjie Li
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    NIPS
    2008
    158views Information Technology» more  NIPS 2008»
    Mind the Duality Gap: Logarithmic regret algorithms for online optimization
    13 years 6 months ago
    Mind the Duality Gap: Logarithmic regret algorithms for online optimization
    Download  ttic.uchicago.edu
    We describe a primal-dual framework for the design and analysis of online strongly convex optimization algorithms. Our framework yields the tightest known logarithmic regret bound...
    Shai Shalev-Shwartz, Sham M. Kakade
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    NIPS
    1990
    102views Information Technology» more  NIPS 1990»
    Planning with an Adaptive World Model
    13 years 6 months ago
    Planning with an Adaptive World Model
    Download  www.ri.cmu.edu
    We present a new connectionist planning method TML90 . By interaction with an unknown environment, a world model is progressively constructed using gradient descent. For deriving ...
    Sebastian Thrun, Knut Möller, Alexander Linde...
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