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» Iterated importance sampling in missing data problems
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IADIS
2003
15 years 12 days ago
Improving Internet Research Methods: A Web Laboratory
We describe the current state of a resource that enables research in the human sciences with differential access rights for experimenters and participants in experiments. We outli...
Maria Buckley, Carl Vogel
CIARP
2008
Springer
15 years 1 months ago
Cluster Stability Assessment Based on Theoretic Information Measures
Abstract. Cluster validation to determine the right number of clusters is an important issue in clustering processes. In this work, a strategy to address the problem of cluster val...
Damaris Pascual, Filiberto Pla, José Salvad...
GRC
2010
IEEE
15 years 3 days ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
COLT
2004
Springer
15 years 4 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
COMPGEOM
2009
ACM
15 years 5 months ago
Integral estimation from point cloud in d-dimensional space: a geometric view
Integration over a domain, such as a Euclidean space or a Riemannian manifold, is a fundamental problem across scientific fields. Many times, the underlying domain is only acces...
Chuanjiang Luo, Jian Sun, Yusu Wang