We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
— In this paper, we build upon recent advances in neuroscience research which have shown that control of the human hand during grasping is dominated by movement in a configurati...
Matei T. Ciocarlie, Corey Goldfeder, Peter K. Alle...
Proteins are involved either directly or indirectly in all biological processes in living organisms. It is now widely accepted that conformational changes of proteins can critical...
Miguel L. Teodoro, George N. Phillips, Lydia E. Ka...
This paper is about finding explicit and implicit connections between people by mining semantic associations from their email communications. Following from a sociocognitive stance...