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    JMLR
    2012
    255views Programming Languages» more  JMLR 2012»
    Learning Low-order Models for Enforcing High-order Statistics
    11 years 11 months ago
    Learning Low-order Models for Enforcing High-order Statistics
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    Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
    Patrick Pletscher, Pushmeet Kohli
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    JMLR
    2012
    173views Programming Languages» more  JMLR 2012»
    Marginal Regression For Multitask Learning
    11 years 11 months ago
    Marginal Regression For Multitask Learning
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    Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
    Mladen Kolar, Han Liu
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    JMLR
    2012
    195views Programming Languages» more  JMLR 2012»
    Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
    11 years 11 months ago
    Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
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    To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
    Marco Grzegorczyk, Dirk Husmeier
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    HYBRID
    2000
    Springer
    151views Control Systems» more  HYBRID 2000»
    Optimization-Based Verification and Stability Characterization of Piecewise Affine and Hybrid Systems
    14 years 27 days ago
    Optimization-Based Verification and Stability Characterization of Piecewise Affine and Hybrid Systems
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    In this paper, we formulate the problem of characterizing the stability of a piecewise affine (PWA) system as a verification problem. The basic idea is to take the whole Rn as the ...
    Alberto Bemporad, Fabio Danilo Torrisi, Manfred Mo...
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    CORR
    2008
    Springer
    173views Education» more  CORR 2008»
    Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications
    13 years 9 months ago
    Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications
    Download  documents.scribd.com
    In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
    Fangwen Fu, Mihaela van der Schaar
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