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    ALT
    2015
    Springer
    30views Machine Learning» more  ALT 2015»
    Interactive Clustering of Linear Classes and Cryptographic Lower Bounds
    8 years 7 months ago
    Interactive Clustering of Linear Classes and Cryptographic Lower Bounds
    Download  levreyzin.com
    Abstract. We study an interactive model of supervised clustering introduced by Balcan and Blum [6], where the clustering algorithm has query access to a teacher. We give an efficie...
    Ádám Dániel Lelkes, Lev Reyzi...
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    ALT
    2015
    Springer
    34views Machine Learning» more  ALT 2015»
    Scale-Free Algorithms for Online Linear Optimization
    8 years 7 months ago
    Scale-Free Algorithms for Online Linear Optimization
    Download  david.palenica.com
    We design algorithms for online linear optimization that have optimal regret and at the same time do not need to know any upper or lower bounds on the norm of the loss vectors. We ...
    Francesco Orabona, Dávid Pál
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    ALT
    2015
    Springer
    24views Machine Learning» more  ALT 2015»
    Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks
    8 years 7 months ago
    Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks
    Download  www.cs.cmu.edu
    We study the optimal rates of convergence for estimating a prior distribution over a VC class from a sequence of independent data sets respectively labeled by independent target f...
    Liu Yang, Steve Hanneke, Jaime G. Carbonell
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    MLDM
    2015
    Springer
    20views Machine Learning» more  MLDM 2015»
    Seizure Prediction by Graph Mining, Transfer Learning, and Transformation Learning
    8 years 7 months ago
    Seizure Prediction by Graph Mining, Transfer Learning, and Transformation Learning
    Download  www.cs.rpi.edu
    We present in this study a novel approach to predicting EEG epileptic seizures: we accurately model and predict non-ictal cortical activity and use prediction errors as parameters ...
    Nimit Dhulekar, Srinivas Nambirajan, Basak Oztan, ...
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    ML
    2015
    ACM
    33views Machine Learning» more  ML 2015»
    Asymptotic analysis of the learning curve for Gaussian process regression
    8 years 7 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
    ACM
    40views Machine Learning» more  ML 2015»
    Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases
    8 years 7 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
    ACM
    31views Machine Learning» more  ML 2015»
    Probabilistic clustering of time-evolving distance data
    8 years 7 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
    ACM
    56views Machine Learning» more  ML 2015»
    Minimum message length estimation of mixtures of multivariate Gaussian and von Mises-Fisher distributions
    8 years 7 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
    ACM
    41views Machine Learning» more  ML 2015»
    Bandit-based Monte-Carlo structure learning of probabilistic logic programs
    8 years 7 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
    ACM
    24views Machine Learning» more  ML 2015»
    Lifted graphical models: a survey
    8 years 7 months ago
    Lifted graphical models: a survey
    Download  lirias.kuleuven.be
    Angelika Kimmig, Lilyana Mihalkova, Lise Getoor
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