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» Ranking with Uncertain Labels
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SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
14 years 9 months ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden
BIRTHDAY
2005
Springer
14 years 2 months ago
Observing Reductions in Nominal Calculi Via a Graphical Encoding of Processes
The paper introduces a novel approach to the synthesis of labelled transition systems for calculi with name mobility. The proposal is based on a graphical encoding: Each process is...
Fabio Gadducci, Ugo Montanari
SIGMOD
2010
ACM
153views Database» more  SIGMOD 2010»
14 years 1 months ago
Threshold query optimization for uncertain data
The probabilistic threshold query (PTQ) is one of the most common queries in uncertain databases, where all results satisfying the query with probabilities that meet the threshold...
Yinian Qi, Rohit Jain, Sarvjeet Singh, Sunil Prabh...
ECCV
2010
Springer
14 years 2 months ago
Enhancing Interactive Image Segmentation with Automatic Label Set Augmentation
Abstract. We address the problem of having insufficient labels in an interactive image segmentation framework, for which most current methods would fail without further user inter...
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
14 years 9 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu