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ADC
2007
Springer
145views Database» more  ADC 2007»
14 years 1 months ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
ICDE
2007
IEEE
206views Database» more  ICDE 2007»
14 years 8 months ago
Efficiently Processing Continuous k-NN Queries on Data Streams
Efficiently processing continuous k-nearest neighbor queries on data streams is important in many application domains, e. g. for network intrusion detection or in querysubscriber ...
Beng Chin Ooi, Christian Böhm, Claudia Plant,...
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 1 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
HIS
2004
13 years 8 months ago
Q'tron Neural Networks for Constraint Satisfaction
This paper proposes the methods to solve the constraint satisfaction problems (CSPs) using Q'tron neural networks (NNs). A Q'tron NN is local-minima free if it is built ...
Tai-Wen Yue, Mei-Ching Chen
ICONIP
2007
13 years 8 months ago
Solar Radiation Data Modeling with a Novel Surface Fitting Approach
Abstract. In this work one year hourly solar radiation data are analyzed and modeled. Using a 2-D surface fitting approach, a novel model is developed for the general behavior of ...
Fatih Onur Hocaoglu, Ömer Nezih Gerek, Mehmet...