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    JMLR
    2008
    209views more  JMLR 2008»
    Bayesian Inference and Optimal Design for the Sparse Linear Model
    13 years 10 months ago
    Bayesian Inference and Optimal Design for the Sparse Linear Model
    Download  www.kyb.tuebingen.mpg.de
    The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
    Matthias W. Seeger
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    PAMI
    2008
    391views more  PAMI 2008»
    Riemannian Manifold Learning
    13 years 10 months ago
    Riemannian Manifold Learning
    Download  www.cis.pku.edu.cn
    Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
    Tong Lin, Hongbin Zha
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    PAMI
    2006
    141views more  PAMI 2006»
    Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
    13 years 10 months ago
    Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
    Download  www.cs.cmu.edu
    We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
    Stéphane Lafon, Ann B. Lee
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    SIGIR
    2008
    ACM
    130views Information Technology» more  SIGIR 2008»
    Personalized active learning for collaborative filtering
    13 years 10 months ago
    Personalized active learning for collaborative filtering
    Download  www.cs.cmu.edu
    Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
    Abhay Harpale, Yiming Yang
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    ISCI
    2007
    170views more  ISCI 2007»
    Automatic learning of cost functions for graph edit distance
    13 years 10 months ago
    Automatic learning of cost functions for graph edit distance
    Download  www.iam.unibe.ch
    Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
    Michel Neuhaus, Horst Bunke
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