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    NIPS
    2004
    137views Information Technology» more  NIPS 2004»
    Semi-parametric Exponential Family PCA
    14 years 10 months ago
    Semi-parametric Exponential Family PCA
    Download  books.nips.cc
    We present a semi-parametric latent variable model based technique for density modelling, dimensionality reduction and visualization. Unlike previous methods, we estimate the late...
    Sajama, Alon Orlitsky
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    EMNLP
    2009
    177views Natural Language Processing» more  EMNLP 2009»
    Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
    14 years 7 months ago
    Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
    Download  www.aclweb.org
    We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
    Matti Kääriäinen
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    ICPR
    2000
    IEEE
    129views computer vision» more  ICPR 2000»
    General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
    15 years 10 months ago
    General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
    Download  www.vogdrup-hansen.dk
    An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
    Jakob Vogdrup Hansen, Tom Heskes
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    CORR
    2010
    Springer
    75views Education» more  CORR 2010»
    An Optimal Family of Exponentially Accurate One-Bit Sigma-Delta Quantization Schemes
    14 years 9 months ago
    An Optimal Family of Exponentially Accurate One-Bit Sigma-Delta Quantization Schemes
    Download  math.nyu.edu
    Sigma-Delta modulation is a popular method for analog-to-digital conversion of bandlimited signals that employs coarse quantization coupled with oversampling. The standard mathema...
    Percy Deift, C. Sinan Güntürk, Felix Kra...
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    ICML
    2004
    IEEE
    133views Machine Learning» more  ICML 2004»
    An information theoretic analysis of maximum likelihood mixture estimation for exponential families
    15 years 10 months ago
    An information theoretic analysis of maximum likelihood mixture estimation for exponential families
    Download  www.lans.ece.utexas.edu
    Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
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