Search Results - Ormandi, Robert

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  1. 1
    Gossip learning with linear models on fully distributed data

    Gossip learning with linear models on fully distributed data by Ormándi, Róbert, Hegedűs, István, Jelasity, Márk

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  2. 2
    Estimating rates of rare events through a multidimensional dynamic hierarchical Bayesian framework

    Estimating rates of rare events through a multidimensional dynamic hierarchical Bayesian framework by Yang, Hongxia, Ormandi, Robert, Tsao, Han-Yun, Lu, Quan

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  3. 3
    Rejoinder to 'Estimating rates of rare events through a multidimensional dynamic hierarchical Bayesian framework'

    Rejoinder to 'Estimating rates of rare events through a multidimensional dynamic hierarchical Bayesian framework' by Yang, Hongxia, Ormandi, Robert, Tsao, Han-Yun, Lu, Quan

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  4. 4
    Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts

    Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts by Farkas, Richárd, Szarvas, György, Hegedűs, István, Almási, Attila, Vincze, Veronika, Ormándi, Róbert, Busa-Fekete, Róbert

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  5. 5
    WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web

    WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web by Ormandi, Robert, Saleh, Mohammad, Winter, Erin, Rao, Vinay

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  6. 6
    Gossip-Based Learning under Drifting Concepts in Fully Distributed Networks

    Gossip-Based Learning under Drifting Concepts in Fully Distributed Networks by Hegedus, Istvan, Ormandi, R., Jelasity, M.

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  7. 7
    Towards Inferring Ratings from User Behavior in BitTorrent Communities

    Towards Inferring Ratings from User Behavior in BitTorrent Communities by Ormándi, Róbert, Hegedus, István, Csernai, Kornél, Jelasity, Márk

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  8. 8
    Score Look-Alike Audiences

    Score Look-Alike Audiences by Qiang Ma, Wagh, Eeshan, Jiayi Wen, Zhen Xia, Ormandi, Robert, Datong Chen

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  9. 9
    Large scale distributed neural network training through online distillation

    Large scale distributed neural network training through online distillation by Rohan, Anil, Pereyra, Gabriel, Passos, Alexandre, Ormandi, Robert, Dahl, George E, Hinton, Geoffrey E

    Published in arXiv.org
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  10. 10
    Variance Minimization Least Squares Support Vector Machines for Time Series Analysis

    Variance Minimization Least Squares Support Vector Machines for Time Series Analysis by Ormandi, R.

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  11. 11
    Detecting concept drift in fully distributed environments

    Detecting concept drift in fully distributed environments by Hegedus, I., Nyers, L., Ormandi, R.

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  12. 12
    Gossip Learning with Linear Models on Fully Distributed Data

    Gossip Learning with Linear Models on Fully Distributed Data by Ormándi, Róbert, Hegedüs, István, Jelasity, Márk

    Published in arXiv.org
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