91 search results - page 5 / 19 » Conditional Models for Non-smooth Ranking Loss Functions |
SIGIR
2009
ACM
2009
ACM
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
14 years 2 months ago
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. We approach this setting from a case-based perspective and propo...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
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...
GLOBECOM
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract—We analyze greedy geographical routing in spontaneous wireless mesh networks to show several interesting properties. First, we can approximate the dependence of packet l...
ECIR
2011
Springer
12 years 11 months ago
2011
Springer
Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance ...