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VLDB
1998
ACM
127views Database» more  VLDB 1998»
13 years 11 months ago
Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases
We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...
Yasuhiko Morimoto, Takeshi Fukuda, Hirofumi Matsuz...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 27 days ago
Comparing multicast and newscast communication in evolving agent societies
This paper investigates the effects of two different communication protocols within an artificial society, where communication and cooperation is necessary to survive. Communicat...
A. E. Eiben, Martijn C. Schut, T. Toma
CVPR
2010
IEEE
14 years 1 months ago
Image Retrieval via Probabilistic Hypergraph Ranking
In this paper, we propose a new transductive learning framework for image retrieval, in which images are taken as vertices in a weighted hypergraph and the task of image search is...
Yuchi Huang, Qingshan Liu, Shaoting Zhang, Metaxas...
CP
1995
Springer
13 years 11 months ago
Optimization-based Heuristics for Maximal Constraint Satisfaction
We present a new heuristic approach for maximal constraint satisfaction of overconstrained problems (MAX-CSP). This approach is based on a formulation of CSP as an optimization pro...
Javier Larrosa, Pedro Meseguer
SIGIR
2008
ACM
13 years 7 months ago
A simple and efficient sampling method for estimating AP and NDCG
We consider the problem of large scale retrieval evaluation. Recently two methods based on random sampling were proposed as a solution to the extensive effort required to judge te...
Emine Yilmaz, Evangelos Kanoulas, Javed A. Aslam