Mostrando recursos 1 - 20 de 505

  1. LIMSI@IWSLT'16: MT Track

    Burlot, Franck; Labeau, Matthieu; Knyazeva, Elena; Lavergne, Thomas; Allauzen, Alexandre; Yvon, François
    International audience

  2. $rec.titulo

    Schnupf, Pamela; Gaboriau-Routhiau, Valerie,; Sansonetti, Philippe; Cerf-Bensussan, Nadine
    International audience

  3. Solving large sparse linear systems with a variable s-step GMRES preconditioned by DD

    Erhel, Jocelyne; Imberti, David
    International audience

  4. Performance of TRMM TMPA 3b42 v7 RT in replicating daily rainfall and rainfall regime in the Amazon Basin (2000-2013).

    Michot, Véronique; Vila, Daniel; Arvor, Damien; Funatsu, Beatriz M.; Dubreuil, Vincent; ronchail, josyane
    International audience

  5. Short Terahertz Pulse Generation from a Dispersion Compensated Modelocked Semiconductor Laser

    Wang, Feihu; Nong, Hanond; Fobbe, Tobias; Pistore, Valentino; Houver, Sarah; Markmann, Sergej; Jukam, Nathan; Amanti, Maria; Sirtori, Carlo; Moumdji, Souad; Colombelli, Raffaele; Li, Lianhe; Linfield, Edmund; Davies, Giles; Mangeney, Juliette; Tignon, Jérôme; Dhillon, Sukhdeep
    International audience

  6. On the Hamiltonian structure of large deviations in stochastic hybrid systems

    Bressloff, Paul,; Faugeras, Olivier,
    International audience

  7. Differential transcendence & algebraicity criteria for the series counting weighted quadrant walks

    Dreyfus, Thomas; Raschel, Kilian
    27 pages, 7 figures

  8. Balance control using both ZMP and COM height variations: A convex boundedness approach

    Caron, Stéphane; Mallein, Bastien
    Developments for 3D control of the center of mass (CoM) are currently located in two local minima: on the one hand, methods that allow CoM height variations but only work in the 2D sagittal plane; on the other hand, nonconvex centroidal models that are delicate to handle. This paper presents an alternative that controls the CoM in 3D by predictive control over a convex optimization problem. The key to this development is the notion of boundedness condition, which quantifies convexly the viability of CoM trajectories.

  9. Network effects in environmental justice struggles: An investigation of conflicts between mining companies and civil society organizations from a network perspective

    Aydin, Cem,; Ozkaynak, Begum; Rodríguez-Labajos, Beatriz; Yenilmez, Taylan
    International audience

  10. Multi-ordered Lasserre hierarchy for large scale polynomial optimization in real and complex variables

    Josz, Cédric; Molzahn, Daniel
    We propose general notions to deal with large scale polynomial optimization problems and demonstrate their efficiency on a key industrial problem of the twenty first century, namely the optimal power flow problem. These notions enable us to find global minimizers on instances with up to 4,500 variables and 14,500 constraints. First, we generalize the Lasserre hierarchy from real to complex to numbers in order to enhance its tractability when dealing with complex polynomial optimization. Complex numbers are typically used to represent oscillatory phenomena, which are omnipresent in physical systems. Using the notion of hyponormality in operator theory, we provide a...

  11. International Agricultural Trade and Negotiations : Coping with a New Landscape

    Bureau, Jean-Christophe; Jean, Sébastien
    Trade is a key element in food security but international cooperation is necessary for trade to help coping with supply shocks, to spread variations in crop yield and to dampen price volatility. While multilateral trade agreements have provided the foundations for a rule-based system, multilateralism has stalled. New economic and political conditions, in particular the new weight of emerging countries, have complicated the negotiations of a Doha agreement under the WTO. Agriculture plays a special role in the global negotiating game. Developed countries have given up many of their bargaining chips in the previous rounds of negotiation and concessions in...

  12. On the Relationship Between Real and Complex Linear Systems

    Josz, Cédric
    We consider the problem of solving a linear system of equations which involves complex variables and their conjugates. We characterize when it reduces to a complex linear system, that is, a system involving only complex variables (and not their conjugates). In that case, we show how to construct the complex linear system. Interestingly, this provides a new insight on the relationship between real and complex linear systems. In particular, any real symmetric linear system of equations can be solved via a complex linear system of equations. Numerical illustrations are provided. The mathematics in this manuscript constitute an exciting interplay between...

  13. Algorithm for Optimization and Interpolation based on Hyponormality

    Josz, Cédric
    On one hand, consider the problem of finding global solutions to a polynomial optimization problem and, on the other hand, consider the problem of interpolating a set of points with a complex exponential function. This paper proposes a single algorithm to address both problems. It draws on the notion of hyponormality in operator theory. Concerning optimization, it seems to be the first algorithm that is capable of extracting global solutions from a polynomial optimization problem where the variables and data are complex numbers. It also applies to real polynomial optimization, a special case of complex polynomial optimization, and thus extends...

  14. Machine learning methods for solar radiation forecasting: a review

    Voyant, Cyril; Notton, Gilles; Kalogirou, Soteris,; Nivet, Marie-Laure; Paoli, Christophe; Motte, Fabrice; Alexis, Fouilloy
    International audience

  15. Machine learning methods for solar radiation forecasting: a review

    Voyant, Cyril; Notton, Gilles; Kalogirou, Soteris,; Nivet, Marie-Laure; Paoli, Christophe; Motte, Fabrice; Alexis, Fouilloy
    International audience

  16. Uncertainties in global radiation time series forecasting using machine learning: The multilayer perceptron case

    Voyant, Cyril; Notton, Gilles; Paoli, Christophe; Alexis, Fouilloy; Motte, Fabrice
    International audience

  17. Uncertainties in global radiation time series forecasting using machine learning: The multilayer perceptron case

    Voyant, Cyril; Notton, Gilles; Paoli, Christophe; Alexis, Fouilloy; Motte, Fabrice
    International audience

  18. Solar potential for building integrated solar collectors: Application in Bulgaria, Romania & France

    Rebillout, Elio; Notton, Gilles; Voyant, Cyril; Damian, Andrei; Frunzulica, Rodica; Lazarov, Vladimir; Stoyanov, Ludmil
    International audience

  19. Solar potential for building integrated solar collectors: Application in Bulgaria, Romania & France

    Rebillout, Elio; Notton, Gilles; Voyant, Cyril; Damian, Andrei; Frunzulica, Rodica; Lazarov, Vladimir; Stoyanov, Ludmil
    International audience

  20. Kalman filtering and classical time series tools for global radiation prediction

    Voyant, Cyril; Motte, Fabrice; Alexis, Fouilloy; Paoli, Christophe; Nivet, Marie Laure
    International audience

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