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Showing 1 to 3 of 3 for “"Gradient decent"”.

  1. Gradient descent based adaptive IIR filtering with direct and lattice form filter structures; applied to estimation of a headphone compensation filter and binaural head related transfer functions

    … adaptive IIR filtering algorithms using Gradient Descent (GD) methods, applied to both direct form and lattice form filter structures. Lattice form filter structures provide the benefit of an in-built stability test which can guarantee that the produced IIR filter remains stable at each …

    chalmers Repository record for Gradient descent based adaptive IIR filtering with direct and lattice form filter structures; applied to estimation of a headphone compensation filter and binaural head related transfer functions (opens in a new tab)

  2. Conditional Neural Networks for Speech and Language Processing

    … developed, for instance, dropout, stochastic gradient decent and residual network structures. In this study, we incorporates latent information into different network structures (e.g., restricted Boltzmann machine, recursive neural networks, and long short term memory). The conditional latent …

    siu-theses Repository record for Conditional Neural Networks for Speech and Language Processing (opens in a new tab)

  3. Yield Curves and Macro Variables Interactions and Predictions

    This research is based on the yield curves and five macro variables, namely equity indices, FX rates, central banks’ policy rates, inflation rates and the GDP growth rates, for nine different markets, from different geographical regions. Our aim was to identify common trends in yield curves and …

    plymouth Repository record for Yield Curves and Macro Variables Interactions and Predictions (opens in a new tab)