Network self-awareness is the ability of a network to observe its own behavior using internal probing and measurement mechanisms, and to make effective autonomous use of these obs...
There have been several proposals for expressing planning problems with different forms of uncertainty, including nondeterminism and partial observability. In this paper we invest...
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
We present an on-line learning framework tailored towards real-time learning from observed user behavior in search engines and other information retrieval systems. In particular, ...
We propose a novel second order cone programming formulation for designing robust classifiers which can handle uncertainty in observations. Similar formulations are also derived f...
Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyy...