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APWEB
2010
Springer
13 years 11 months ago
An Incremental Prefix Filtering Approach for the All Pairs Similarity Search Problem
Given a set of records, a threshold value t and a similarity function, we investigate the problem of finding all pairs of records such that similarity between each pair is above t....
Hoang Thanh Lam, Dinh Viet Dung, Raffaele Perego, ...
DPD
2010
153views more  DPD 2010»
13 years 5 months ago
Cardinality estimation and dynamic length adaptation for Bloom filters
Abstract Bloom filters are extensively used in distributed applications, especially in distributed databases and distributed information systems, to reduce network requirements and...
Odysseas Papapetrou, Wolf Siberski, Wolfgang Nejdl
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
13 years 11 months ago
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation
We study how different prediction update algorithms influence the performance of XCSF. We consider three classical parameter estimation algorithms (NLMS, RLS, and Kalman filter) a...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
SIGIR
2002
ACM
13 years 7 months ago
Novelty and redundancy detection in adaptive filtering
This paper addresses the problem of extending an adaptive information filtering system to make decisions about the novelty and redundancy of relevant documents. It argues that rel...
Yi Zhang 0001, James P. Callan, Thomas P. Minka
ICML
2003
IEEE
14 years 8 months ago
Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...
Yi Zhang, Wei Xu, James P. Callan