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ICML
2010
IEEE
15 years 5 months ago
Gaussian Process Change Point Models
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Yunus Saatci, Ryan Turner, Carl Edward Rasmussen
IJCAI
2007
15 years 5 months ago
Collapsed Variational Dirichlet Process Mixture Models
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
Kenichi Kurihara, Max Welling, Yee Whye Teh
115
Voted
NIPS
2003
15 years 5 months ago
Hierarchical Topic Models and the Nested Chinese Restaurant Process
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
WWW
2008
ACM
16 years 4 months ago
First workshop on targeting and ranking for online advertising
Online advertising is a rapidly growing, multi-billion dollar industry. It has become a significant element of the Web browsing experience. Ad platforms used for ad selection use ...
Ewa Dominowska, Vanja Josifovski
DEXAW
2005
IEEE
142views Database» more  DEXAW 2005»
15 years 9 months ago
Service Composition for SDIs: Integrated Components Creation
We describe a methodology for creating composite web services, a key ingredient in spatial data infrastructure (SDI) applications, which we demonstrate on an emergency management ...
Carlos Granell, Michael Gould, Francisco Ramos