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PVLDB
2008
107views more  PVLDB 2008»
15 years 5 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
ISCI
2010
111views more  ISCI 2010»
15 years 5 months ago
Effective vaccination policies
We present a framework for modeling the spread of pathogens throughout a population and generating policies that minimize the impact of those pathogens on the population. This fra...
L. Shaw, W. Spears, L. Billings, P. Maxim
ISNN
2010
Springer
15 years 5 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
JGS
2010
105views more  JGS 2010»
15 years 5 months ago
Testing for spatial association of qualitative data using symbolic dynamics
Qualitative spatial variables are important in many fields of research. However, unlike the decades-worth of research devoted to the spatial association of quantitative variables, ...
Manuel Ruiz, Fernando López, Antonio P&aacu...
JMIV
2010
98views more  JMIV 2010»
15 years 5 months ago
Expectations of Random Sets and Their Boundaries Using Oriented Distance Functions
Shape estimation and object reconstruction are common problems in image analysis. Mathematically, viewing objects in the image plane as random sets reduces the problem of shape es...
Hanna K. Jankowski, Larissa I. Stanberry
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