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ENGL
2007
75views more  ENGL 2007»
8 years 11 months ago
Uncertainty Modeling for Expensive Functions: A Rank Transformation Approach
An uncertainty model for an expensive function greatly improves the effectiveness of a design decision based on the use of a less accurate function. In this paper, we propose a met...
J. Umakant, K. Sudhakar, P. M. Mujumdar, C. Raghav...
ECIR
2009
Springer
9 years 8 months ago
Risk-Aware Information Retrieval
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 ...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
10 years 29 days ago
Integrating and Ranking Uncertain Scientific Data
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly ...
Landon Detwiler, Wolfgang Gatterbauer, Brenton Lou...
RECSYS
2010
ACM
8 years 9 months ago
List-wise learning to rank with matrix factorization for collaborative filtering
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
Yue Shi, Martha Larson, Alan Hanjalic
ERCIMDL
2007
Springer
87views Education» more  ERCIMDL 2007»
9 years 5 months ago
A Model of Uncertainty for Near-Duplicates in Document Reference Networks
We introduce a model of uncertainty where documents are not uniquely identified in a reference network, and some links may be incorrect. It generalizes the probabilistic approach ...
Claudia Hess, Michel de Rougemont
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