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» Evaluating algorithms that learn from data streams
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VLDB
2010
ACM
190views Database» more  VLDB 2010»
15 years 2 months ago
Continuous authentication on relational streams
According to the database outsourcing model, a data owner delegates database functionality to a thirdparty service provider, which answers queries received from clients. Authentic...
Stavros Papadopoulos, Yin Yang, Dimitris Papadias
IJCAI
2007
15 years 5 months ago
Change of Representation for Statistical Relational Learning
Statistical relational learning (SRL) algorithms learn statistical models from relational data, such as that stored in a relational database. We previously introduced view learnin...
Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S...
NIPS
2000
15 years 5 months ago
From Margin to Sparsity
We present an improvement of Noviko 's perceptron convergence theorem. Reinterpreting this mistakebound as a margindependent sparsity guarantee allows us to give a PAC{style ...
Thore Graepel, Ralf Herbrich, Robert C. Williamson
PAMI
2002
106views more  PAMI 2002»
15 years 4 months ago
Performance Evaluation of Some Clustering Algorithms and Validity Indices
In this article, we evaluate the performance of three clustering algorithms, hard K-Means, single linkage, and a simulated annealing (SA) based technique, in conjunction with four ...
Ujjwal Maulik, Sanghamitra Bandyopadhyay
PODS
2009
ACM
112views Database» more  PODS 2009»
16 years 5 months ago
Optimal sampling from sliding windows
APPEARED IN ACM PODS-2009. A sliding windows model is an important case of the streaming model, where only the most "recent" elements remain active and the rest are disc...
Vladimir Braverman, Rafail Ostrovsky, Carlo Zaniol...