Sciweavers

699 search results - page 10 / 140
» Ranking of Object Summaries
Sort
View
ICASSP
2008
IEEE
15 years 4 months ago
A comparative study of probabilistic ranking models for spoken document summarization
The purpose of extractive document summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a tar...
Shih-Hsiang Lin, Yi-Ting Chen, Hsin-Min Wang, Bin ...
ICDAR
2009
IEEE
14 years 8 months ago
Finding the Most Probable Ranking of Objects with Probabilistic Pairwise Preferences
This paper discusses the ranking of a set of objects when a possibly inconsistent set of pairwise preferences is given. We consider the task of ranking objects when pairwise prefe...
Mikhail Parakhin, Patrick M. Haluptzok
VLDB
2004
ACM
138views Database» more  VLDB 2004»
15 years 3 months ago
ObjectRank: Authority-Based Keyword Search in Databases
The ObjectRank system applies authority-based ranking to keyword search in databases modeled as labeled graphs. Conceptually, authority originates at the nodes (objects) containin...
Andrey Balmin, Vagelis Hristidis, Yannis Papakonst...
HIS
2008
14 years 11 months ago
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
Rafael Giusti, Gustavo E. A. P. A. Batista, Ronald...
NIPS
2008
14 years 11 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey