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» Evaluating algorithms that learn from data streams
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IJCNN
2007
IEEE
16 years 1 months ago
Spectral Clustering of Synchronous Spike Trains
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
António R. C. Paiva, Sudhir Rao, Il Park, J...
ICIDS
2009
Springer
16 years 7 days ago
Comparing Effects of Different Cinematic Visualization Strategies on Viewer Comprehension
Abstract. Computational storytelling systems have mainly focused on the construction and evaluation of textual discourse for communicating stories. Few intelligent camera systems h...
Arnav Jhala, R. Michael Young
ICML
2009
IEEE
16 years 8 months ago
Multi-view clustering via canonical correlation analysis
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
TLCA
2005
Springer
16 years 1 months ago
Privacy in Data Mining Using Formal Methods
There is growing public concern about personal data collected by both private and public sectors. People have very little control over what kinds of data are stored and how such da...
Stan Matwin, Amy P. Felty, István T. Hern&a...
NIPS
2008
15 years 9 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink