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IJCAI
2007
15 years 8 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 8 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...
PVLDB
2010
82views more  PVLDB 2010»
15 years 5 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 11 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...
WCE
2007
15 years 7 months ago
Transformation Model Estimation for Point Matching Via Gaussian Processes
—One of main issues in point matching is the choice of the mapping function and the computation of its optimal hyperparameters. In this paper, we propose an attractive approach t...
Xin Yu, Jin-Wen Tian, Jian Liu