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ESSMAC
2003
Springer
15 years 10 months ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
IJCAI
2007
15 years 6 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
NIPS
2003
15 years 6 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...
121
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PVLDB
2010
82views more  PVLDB 2010»
15 years 3 months ago
SECRET: A Model for Analysis of the Execution Semantics of Stream Processing Systems
There are many academic and commercial stream processing engines (SPEs) today, each of them with its own execution semantics. This variation may lead to seemingly inexplicable diď...
Irina Botan, Roozbeh Derakhshan, Nihal Dindar, Lau...
ICRE
2000
IEEE
15 years 9 months ago
Process Modeling for Object Oriented Analysis Using BORM Object Behavioral Analysis
BORM Object Behavior Analysis (BOBA) is a first stage in a process of object modeling which has proved successful in a wide number of applications. This paper discusses this metho...
Roger P. Knott, Vojtech Merunka, Jirí Pol&a...