A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
We propose a general framework for performing independent component analysis (ICA) which relies on ensemble learning and linear response theory known from statistical physics. We ...
Networking software is a growing bottleneck in modern workstations, particularly for high throughput applications such as networked digital video. We measure various components of...
We have constructed a synthetic in silico model for representing the dynamics of leukocyte rolling, activation, and adhesion on substrate-coated flow chambers. Software components...
Abstract. We present our approach for deploying and managing distributed component-based applications. A Desired State Description (DSD), written in a high-level declarative langua...