In this paper, we develop a model for representing term dependence based on Markov Random Fields and present an approach based on Markov Chain Monte Carlo technique for generating ...
—In this paper the problem of evaluating the statistics of the connected nodes position in a multi-hop wireless random ad hoc network is addressed. In particular, an analytical m...
- For an iterative process to be parallelized, the operations that comprise the process must be organized into a correct schedule that will allow the hardware to compute the task. ...
This paper studies system identification of ARMA models whose outputs are subject to finite-level quantization and random packet dropouts. A simple adaptive quantizer and the co...
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner...