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    ML
    2015
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    33views Machine Learning» more  ML 2015»
    Asymptotic analysis of the learning curve for Gaussian process regression
    8 years 8 months ago
    Asymptotic analysis of the learning curve for Gaussian process regression
    Download  josselin-garnier.org
    Abstract This paper deals with the learning curve in a Gaussian process regression framework. The learning curve describes the generalization error of the Gaussian process used for...
    Loic Le Gratiet, Josselin Garnier
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    ML
    2015
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    40views Machine Learning» more  ML 2015»
    Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases
    8 years 8 months ago
    Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases
    Download  ftp.cs.wisc.edu
    Recent years have seen a surge of interest in Statistical Relational Learning (SRL) models that combine logic with probabilities. One prominent and highly expressive SRL model is M...
    Tushar Khot, Sriraam Natarajan, Kristian Kersting,...
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    ML
    2015
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    31views Machine Learning» more  ML 2015»
    Probabilistic clustering of time-evolving distance data
    8 years 8 months ago
    Probabilistic clustering of time-evolving distance data
    Download  www2.informatik.hu-berlin.de
    We present a novel probabilistic clustering model for objects that are represented via pairwise distances and observed at different time points. The proposed method utilizes the i...
    Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir ...
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    ML
    2015
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    56views Machine Learning» more  ML 2015»
    Minimum message length estimation of mixtures of multivariate Gaussian and von Mises-Fisher distributions
    8 years 8 months ago
    Minimum message length estimation of mixtures of multivariate Gaussian and von Mises-Fisher distributions
    Download  users.monash.edu
    Parthan Kasarapu, Lloyd Allison
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    ML
    2015
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    41views Machine Learning» more  ML 2015»
    Bandit-based Monte-Carlo structure learning of probabilistic logic programs
    8 years 8 months ago
    Bandit-based Monte-Carlo structure learning of probabilistic logic programs
    Download  www.di.uniba.it
    Probabilistic logic programming allows to model domains with complex and uncertain relationships among entities. While the problem of learning the parameters of such programs has b...
    Nicola Di Mauro, Elena Bellodi, Fabrizio Riguzzi
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    ML
    2015
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    24views Machine Learning» more  ML 2015»
    Lifted graphical models: a survey
    8 years 8 months ago
    Lifted graphical models: a survey
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    Angelika Kimmig, Lilyana Mihalkova, Lise Getoor
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    2015
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    26views Machine Learning» more  ML 2015»
    Direct conditional probability density estimation with sparse feature selection
    8 years 8 months ago
    Direct conditional probability density estimation with sparse feature selection
    Download  www.ms.k.u-tokyo.ac.jp
    Regression is a fundamental problem in statistical data analysis, which aims at estimating the conditional mean of output given input. However, regression is not informative enoug...
    Motoki Shiga, Voot Tangkaratt, Masashi Sugiyama
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    2015
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    26views Machine Learning» more  ML 2015»
    Greedy learning of latent tree models for multidimensional clustering
    8 years 8 months ago
    Greedy learning of latent tree models for multidimensional clustering
    Download  www.cse.ust.hk
    Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, Ap...
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    2015
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    19views Machine Learning» more  ML 2015»
    Unconfused ultraconservative multiclass algorithms
    8 years 8 months ago
    Unconfused ultraconservative multiclass algorithms
    Download  jmlr.org
    We tackle the problem of learning linear classifiers from noisy datasets in a multiclass setting. The two-class version of this problem was studied a few years ago by, e.g. Bylan...
    Ugo Louche, Liva Ralaivola
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    2015
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    25views Machine Learning» more  ML 2015»
    The effect of splitting on random forests
    8 years 8 months ago
    The effect of splitting on random forests
    Download  www.ccs.miami.edu
    Hemant Ishwaran
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