MSTs constructed using these rank methods tend to be more stable and maintain more edges over the dataset than those constructed using Pearson correlation.
Computational Engineering, Finance, and Science Statistical Finance
Specifically, we model the 10-year bond yield using univariate LSTMs with three input sequences and five forecasting horizons.
Finally, we show that a consequence of the difference between interpolating MSDA such as MixUp and masking MSDA such as FMix is that the two can be combined to improve performance even further.
Ranked #3 on Image Classification on Fashion-MNIST
We design a network which can perform non-negative matrix factorisation (NMF) and add in aspects of a VAE to make the coefficients of the latent space probabilistic.
We define an intrinsic notion of Mapper instability that measures the variability of the output as a function of the choice of parameters required to construct a Mapper output.
Non-negative matrix factorization (NMF) is a dimensionality reduction technique which tends to produce a sparse representation of data.
Low-level visual features used by existing texture descriptors are then assessed in terms of their correspondence to the semantic space.