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PRICAI
1998
Springer
13 years 11 months ago
Dynamic Constraint Weighting for Over-Constrained Problems
Many real-world constraint satisfaction problems (CSPs) can be over-constrained but contain a set of mandatory or hard constraints that have to be satisfied for a solution to be ac...
John Thornton, Abdul Sattar
ECAI
2000
Springer
13 years 11 months ago
Similarity-based Approach to Relevance Learning
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Rickard Cöster, Lars Asker
MM
2005
ACM
171views Multimedia» more  MM 2005»
14 years 9 days ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
SIGECOM
2006
ACM
125views ECommerce» more  SIGECOM 2006»
14 years 20 days ago
Minimum payments that reward honest reputation feedback
Online reputation mechanisms need honest feedback to function effectively. Self interested agents report the truth only when explicit rewards offset the cost of reporting and th...
Radu Jurca, Boi Faltings
ICPP
2000
IEEE
13 years 11 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary