Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
We address the classic wire-length estimation problem and propose a new statistical wire-length estimation approach that captures the probability distribution function of net leng...
Jennifer L. Wong, Azadeh Davoodi, Vishal Khandelwa...
The paper describes the EmPath tool that was designed to emulate packet transfer characteristics as delays and losses in IP network. The main innovation of this tool is its ability...
Selecting a random peer with uniform probability across a peer-to-peer (P2P) network is a fundamental function for unstructured search, data replication, and monitoring algorithms....
—We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooper...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli