Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Window Abstraction for Infinite Markov Chains Thomas A. Henzinger1 , Maria Mateescu1 , and Verena Wolf1,2 1 EPFL, Switzerland 2 Saarland University, Germany Abstract. We present an...
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...