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TVCG
2008
70views more  TVCG 2008»
8 years 8 months ago
Visualizing Incomplete and Partially Ranked Data
Ranking data, which result from m raters ranking n items, are difficult to visualize due to their discrete algebraic structure, and the computational difficulties associated with t...
Paul Kidwell, Guy Lebanon, William S. Cleveland
IJFCS
2007
98views more  IJFCS 2007»
8 years 8 months ago
Modular Ranking Abstraction
Ranking Abstraction Ittai Balaban Computer Science Department, New York University, 251 Mercer St., New York, New York 10012, United States and Amir Pnueli Computer Science Departm...
Ittai Balaban, Amir Pnueli, Lenore D. Zuck
SIGIR
2008
ACM
8 years 8 months ago
Combining document- and paragraph-based entity ranking
We study entity ranking on the INEX entity track and propose a simple graph-based ranking approach that enables to combine scores on document and paragraph level. The combined app...
Henning Rode, Pavel Serdyukov, Djoerd Hiemstra
SIGIR
2008
ACM
8 years 8 months ago
Query dependent ranking using K-nearest neighbor
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, H...
SIGIR
2008
ACM
8 years 8 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
PAMI
2008
139views more  PAMI 2008»
8 years 8 months ago
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets
We consider the problem of learning a ranking function that maximizes a generalization of the Wilcoxon-Mann-Whitney statistic on the training data. Relying on an -accurate approxim...
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishna...
JSS
2006
112views more  JSS 2006»
8 years 8 months ago
Generalized comparison of graph-based ranking algorithms for publications and authors
Citation analysis helps in evaluating the impact of scientific collections (journals and conferences), publications and scholar authors. In this paper we examine known algorithms ...
Antonis Sidiropoulos, Yannis Manolopoulos
ML
2008
ACM
134views Machine Learning» more  ML 2008»
8 years 8 months ago
Multilabel classification via calibrated label ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Johannes Fürnkranz, Eyke Hüllermeier, En...
JMLR
2008
111views more  JMLR 2008»
8 years 8 months ago
Ranking Categorical Features Using Generalization Properties
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
Sivan Sabato, Shai Shalev-Shwartz
IPL
2006
87views more  IPL 2006»
8 years 8 months ago
Vertex rankings of chordal graphs and weighted trees
: In this paper we consider the vertex ranking problem of weighted trees. We show that this problem is strongly NP-hard. We also give a polynomial-time reduction from the problem o...
Dariusz Dereniowski, Adam Nadolski
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