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» On the Consistency of Ranking Algorithms
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PAKDD
2009
ACM
94views Data Mining» more  PAKDD 2009»
14 years 20 days ago
Item Preference Parameters from Grouped Ranking Observations
Given a set of rating data for a set of items, determining the values of items is a matter of importance and various probability models have been proposed. The Plackett-Luce model ...
Hideitsu Hino, Yu Fujimoto, Noboru Murata
SIAMMAX
2011
141views more  SIAMMAX 2011»
12 years 11 months ago
Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme
Higher-order tensors are used in many application fields, such as statistics, signal processing, and scientific computing. Efficient and reliable algorithms for manipulating thes...
Mariya Ishteva, Pierre-Antoine Absil, Sabine Van H...
ICPR
2004
IEEE
14 years 9 months ago
Compact Representation of Multidimensional Data Using Tensor Rank-One Decomposition
This paper presents a new approach for representing multidimensional data by a compact number of bases. We consider the multidimensional data as tensors instead of matrices or vec...
Hongcheng Wang, Narendra Ahuja
SBBD
2004
82views Database» more  SBBD 2004»
13 years 9 months ago
Optimizing Ranking Calculation in Web Search Engines: a Case Study
Web search engines compete to offer the fastest responses with highest relevance. However, as Web collections grow, it becomes more difficult to achieve this purpose. As most user...
Miguel Costa, Mário J. Silva
INFFUS
2006
103views more  INFFUS 2006»
13 years 8 months ago
Information fusion approaches to the automatic pronunciation of print by analogy
Automatic pronunciation of words from their spelling alone is a hard computational problem, especially for languages like English and French where there is only a partially consis...
Robert I. Damper, Yannick Marchand