Data-driven discovery of partial differential equations (PDEs) from observed data in machine learning has been developed by embedding the problem. Recently, traditional ODEs dynamics using linear multistep methods deep have discussed [Racheal and Du, SIAM J. Numer. Anal. 59 (2021) 429-455; Du et al. arXiv:2103.1148 ]. We extend this framework to data-driven time-fractional PDEs, which can effec...

Voiceconversion (VC) refers to the transformation of speaker identity a speech target one without altering linguistic content. As recent VC techniques have made significant progress, implementing them in real-world scenarios is also considered, where data some inevitable interferences, most common which are background sounds. On other hand, sounds informative and need be retained applications, ...

We present an unsupervised contextsensitive spelling correction method for clinical free-text that uses word and character n-gram embeddings. Our method generates misspelling replacement candidates and ranks them according to their semantic fit, by calculating a weighted cosine similarity between the vectorized representation of a candidate and the misspelling context. We greatly outperform two...